In recent years, Social network use is increasingly build up. The various statistics are split widely through social media Such as Facebook, Twitter. Data about the person and what they communicate through the status updates are important for research in human personality. This paper intends to scrutinize the forecasting of personality traits of Facebook users bases on machine learning and part of the Big ve model this experiment uses my personality data set of Facebook users are used for linguistic factors respective to personality correlation. We used the Data Prepossessing concept of data mining after that feature Extraction. Next, we will work on feature selection. The Personality Prediction system built in the XGboosting classi cation model. Poonam L Patil | Dr. S. R. Jadhao "User Personality Prediction on Facebook Social Media using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33414.pdf Paper Url: https://www.ijtsrd.com/computer-science/data-miining/33414/user-personality-prediction-on-facebook-social-media-using-machine-learning/poonam-l-patil
Aplikasi pemesanan katering berbasis web ini bertujuan untuk memudahkan pemesanan menu makanan dan minuman di Karlina Catering serta meningkatkan jumlah pembeli dengan menampilkan berbagai menu secara online."
The document discusses different application architectures: single-tier, two-tier, three-tier, and n-tier. In a single-tier architecture, all application elements exist in a single process. A two-tier architecture divides the application into client and server tiers. A three-tier architecture adds a business tier between the client and server tiers. An n-tier architecture further divides business services into multiple manageable units across multiple tiers.
Aplikasi pemesanan katering berbasis web ini bertujuan untuk memudahkan pemesanan menu makanan dan minuman di Karlina Catering serta meningkatkan jumlah pembeli dengan menampilkan berbagai menu secara online."
The document discusses different application architectures: single-tier, two-tier, three-tier, and n-tier. In a single-tier architecture, all application elements exist in a single process. A two-tier architecture divides the application into client and server tiers. A three-tier architecture adds a business tier between the client and server tiers. An n-tier architecture further divides business services into multiple manageable units across multiple tiers.
The document defines key concepts in relational databases such as super keys, candidate keys, and primary keys. It provides an example table to demonstrate how these concepts apply. The document also lists some common relational algebra operations and provides examples of how they can be used to write queries on sample databases.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
This document discusses component-based modeling and technology. It covers several topics:
1) It describes different modeling activities and representation techniques used in software development, including diagrams, descriptions, and both graphical and textual representations.
2) It discusses different ways to represent system composition and structure using components, as well as dynamic collaboration using events and actions.
3) It proposes a layered architecture model for applications with four layers - a user interface layer, application layer, access layer, and domain layer.
4) It outlines various modeling process activities including domain investigation, conceptual modeling, user interface modeling, and data modeling.
1.1.1. menjelaskan menu dan ikon pada menu barBahrudin Udin
menampilkan bantuan singkat
Zoom: mengatur besar kecilnya tampilan
dokumen
Status Bar: menampilkan informasi status
dokumen saat ini
View: mengatur tampilan dokumen
Task Pane: menampilkan berbagai perintah
yang dapat dilakukan
Ruler: mengatur spasi, tab, dan margin
paragraf
Scroll Bar: untuk menggeser tampilan
dokumen
Insertion Point: menunjukkan posisi kursor
saat ini
Page Layout: mengatur
Laporan Praktikum Basis Data Modul IV-Membuat Database Pada PHPMYADMINShofura Kamal
Dokumen tersebut membahas tentang pembuatan empat tabel database MySQL menggunakan PHPMyAdmin. Praktikan membuat database bernama "Toko Online" dan kemudian empat tabel di dalamnya yaitu tabel data barang, persediaan barang, penjualan barang, dan data pembeli. Setiap tabel dibuat dengan menentukan nama tabel dan field-fieldnya beserta tipe datanya.
Laporan Praktikum Basis Data Modul VI-Membuat WebsiteShofura Kamal
Dokumen tersebut membahas tentang penggunaan CSS dalam membuat tampilan website. Terdapat penjelasan mengenai jenis-jenis CSS beserta contoh kodenya, dan langkah-langkah praktik membuat website penjualan ikan lele menggunakan CSS untuk mengatur tampilannya. Website tersebut dikoneksikan dengan basis data untuk menyimpan data pelanggan.
Microsoft Office Publisher adalah program aplikasi desktop publishing untuk membuat publikasi seperti brosur, flyer, dan halaman web. Program ini memungkinkan pengguna untuk mendesain layout, menambahkan teks dan gambar, serta mengatur elemen-elemen publikasi. Microsoft Office Publisher 2007 merupakan versi terbaru yang terintegrasi dengan Microsoft Office.
Dokumen ini membahas tentang thread dan asynctask dalam Android. Thread digunakan untuk menjalankan proses paralel agar aplikasi tidak terasa lambat. Asynctask memungkinkan pekerjaan asynchronous tanpa perlu menangani thread secara manual. Contoh kode menggunakan asynctask untuk menghitung mundur dari 10 ke 0 sambil memperbarui tampilan secara berkala.
Dokumen tersebut merangkum hasil analisis kebutuhan sistem perpustakaan universitas. Analisis mencakup kebutuhan fungsional dan non fungsional sistem serta metode pengumpulan data seperti wawancara, observasi, kuesioner.
Survey on personality predication methods using AIIJAEMSJORNAL
In this paper we present a deep Literature Survey on Personality. Personality is a psychological concept intended to explain the broad range of human behaviors in terms of a few, consistent and observable individual characteristics. In this regard, any technology that includes knowing, predicting and synthesizing human nature is likely to gain from technologies to Personality Computing, i.e. technologies that can deal with human character.This paper is a study of these technologies and seeks to provide not just a strong knowledge and understanding on the state-of – the art, and also a conceptual model underlying the three main issues discussed in the literature, Electronic Recognition of Character(Inference from behavioral knowledge of an individual or group true character),Automatic recognition of identities(Personality inference other people attribute to an applicant based on observable actions) and Automatic combination of identities (Artificial personality production by means of embodied agents).
This document discusses using text mining of online social networks to classify user personality traits. It examines using status updates from Facebook profiles as text data to extract features and classify personalities according to the Big Five model using an RBF neural network. The results showed RBF neural networks achieved higher precision than other common classifiers like SVM and Naive Bayes.
The document defines key concepts in relational databases such as super keys, candidate keys, and primary keys. It provides an example table to demonstrate how these concepts apply. The document also lists some common relational algebra operations and provides examples of how they can be used to write queries on sample databases.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
This document discusses component-based modeling and technology. It covers several topics:
1) It describes different modeling activities and representation techniques used in software development, including diagrams, descriptions, and both graphical and textual representations.
2) It discusses different ways to represent system composition and structure using components, as well as dynamic collaboration using events and actions.
3) It proposes a layered architecture model for applications with four layers - a user interface layer, application layer, access layer, and domain layer.
4) It outlines various modeling process activities including domain investigation, conceptual modeling, user interface modeling, and data modeling.
1.1.1. menjelaskan menu dan ikon pada menu barBahrudin Udin
menampilkan bantuan singkat
Zoom: mengatur besar kecilnya tampilan
dokumen
Status Bar: menampilkan informasi status
dokumen saat ini
View: mengatur tampilan dokumen
Task Pane: menampilkan berbagai perintah
yang dapat dilakukan
Ruler: mengatur spasi, tab, dan margin
paragraf
Scroll Bar: untuk menggeser tampilan
dokumen
Insertion Point: menunjukkan posisi kursor
saat ini
Page Layout: mengatur
Laporan Praktikum Basis Data Modul IV-Membuat Database Pada PHPMYADMINShofura Kamal
Dokumen tersebut membahas tentang pembuatan empat tabel database MySQL menggunakan PHPMyAdmin. Praktikan membuat database bernama "Toko Online" dan kemudian empat tabel di dalamnya yaitu tabel data barang, persediaan barang, penjualan barang, dan data pembeli. Setiap tabel dibuat dengan menentukan nama tabel dan field-fieldnya beserta tipe datanya.
Laporan Praktikum Basis Data Modul VI-Membuat WebsiteShofura Kamal
Dokumen tersebut membahas tentang penggunaan CSS dalam membuat tampilan website. Terdapat penjelasan mengenai jenis-jenis CSS beserta contoh kodenya, dan langkah-langkah praktik membuat website penjualan ikan lele menggunakan CSS untuk mengatur tampilannya. Website tersebut dikoneksikan dengan basis data untuk menyimpan data pelanggan.
Microsoft Office Publisher adalah program aplikasi desktop publishing untuk membuat publikasi seperti brosur, flyer, dan halaman web. Program ini memungkinkan pengguna untuk mendesain layout, menambahkan teks dan gambar, serta mengatur elemen-elemen publikasi. Microsoft Office Publisher 2007 merupakan versi terbaru yang terintegrasi dengan Microsoft Office.
Dokumen ini membahas tentang thread dan asynctask dalam Android. Thread digunakan untuk menjalankan proses paralel agar aplikasi tidak terasa lambat. Asynctask memungkinkan pekerjaan asynchronous tanpa perlu menangani thread secara manual. Contoh kode menggunakan asynctask untuk menghitung mundur dari 10 ke 0 sambil memperbarui tampilan secara berkala.
Dokumen tersebut merangkum hasil analisis kebutuhan sistem perpustakaan universitas. Analisis mencakup kebutuhan fungsional dan non fungsional sistem serta metode pengumpulan data seperti wawancara, observasi, kuesioner.
Survey on personality predication methods using AIIJAEMSJORNAL
In this paper we present a deep Literature Survey on Personality. Personality is a psychological concept intended to explain the broad range of human behaviors in terms of a few, consistent and observable individual characteristics. In this regard, any technology that includes knowing, predicting and synthesizing human nature is likely to gain from technologies to Personality Computing, i.e. technologies that can deal with human character.This paper is a study of these technologies and seeks to provide not just a strong knowledge and understanding on the state-of – the art, and also a conceptual model underlying the three main issues discussed in the literature, Electronic Recognition of Character(Inference from behavioral knowledge of an individual or group true character),Automatic recognition of identities(Personality inference other people attribute to an applicant based on observable actions) and Automatic combination of identities (Artificial personality production by means of embodied agents).
This document discusses using text mining of online social networks to classify user personality traits. It examines using status updates from Facebook profiles as text data to extract features and classify personalities according to the Big Five model using an RBF neural network. The results showed RBF neural networks achieved higher precision than other common classifiers like SVM and Naive Bayes.
This document discusses analyzing human personality characteristics from social media profiles using machine learning techniques. It collects over 3,000 profile summaries from LinkedIn using web scraping. It then uses the WordNet lexical database to form word clusters for extroversion and introversion characteristics. The k-nearest neighbors algorithm is used to classify profiles as extrovert, introvert, or ambivert based on the words in their summaries. The goal is to analyze users' profiles and provide guidance to write profiles that include a balance of introvert and extrovert traits classified as ambivert, which tends to be viewed more positively. Accuracy results from the classification approach are promising but not discussed in detail.
Big five personality prediction based in Indonesian tweets using machine lea...IJECEIAES
The popularity of social media has drawn the attention of researchers who have conducted cross-disciplinary studies examining the relationship between personality traits and behavior on social media. Most current work focuses on personality prediction analysis of English texts, but Indonesian has received scant attention. Therefore, this research aims to predict user’s personalities based on Indonesian text from social media using machine learning techniques. This paper evaluates several machine learning techniques, including naive Bayes (NB), K-nearest neighbors (KNN), and support vector machine (SVM), based on semantic features including emotion, sentiment, and publicly available Twitter profile. We predict the personality based on the Big Five personality model, the most appropriate model for predicting user personality in social media. We examine the relationships between the semantic features and the Big Five personality dimensions. The experimental results indicate that the Big Five personality exhibit distinct emotional, sentimental, and social characteristics and that SVM outperformed NB and KNN for Indonesian. In addition, we observe several terms in Indonesian that specifically refer to each personality type, each of which has distinct emotional, sentimental, and social features.
THE SURVEY OF SENTIMENT AND OPINION MINING FOR BEHAVIOR ANALYSIS OF SOCIAL MEDIAIJCSES Journal
Nowadays, internet has changed the world into a global village. Social Media has reduced the gaps among
the individuals. Previously communication was a time consuming and expensive task between the people.
Social Media has earned fame because it is a cheaper and faster communication provider. Besides, social
media has allowed us to reduce the gaps of physical distance, it also generates and preserves huge amount
of data. The data are very valuable and it presents association degree between people and their opinions.The comprehensive analysis of the methods which are used on user behavior prediction is presented in this paper. This comparison will provide a detailed information, pros and cons in the domain of sentiment and
opinion mining.
IRJET- Personality Recognition using Social Media DataIRJET Journal
This document summarizes a research paper on personality recognition using social media data. The paper proposes analyzing personality traits based on the Big Five model (openness, conscientiousness, extraversion, agreeableness, neuroticism) using Facebook status updates and machine learning. Specifically, it involves collecting Facebook status data through a browser extension, storing it in a database, training a random forest regression model on an existing dataset, and using the model to predict personality trait values for additional Facebook users. The predicted traits are then visualized with radar charts to provide an overview of each user's personality profile.
This document reviews research on predicting personality from Twitter users' tweets using machine learning algorithms. It discusses how tweets have attracted research interest from diverse fields. Different techniques have been used to predict personality from tweets, but there are still shortcomings to address. The aim is to consider the current state of this research area and explore personality prediction from tweets by reviewing past literature and discussing approaches to issues researchers face. It provides an overview of machine learning methods used for personality prediction from tweets, including data collection, preprocessing, model training and evaluation.
Analysis of Social Media Sentiment for Depression Prediction using Supervised...ijtsrd
Sentiment analysis is a new trend in understanding peoples emotions in a variety of scenarios in their daily lives. Social media data, which includes text data as well as emoticons, emojis, and other images, would be used throughout the process, including the analysis and categorization procedures. Numerous trials were carried out in previous research using Binary and Triple Classification, however multi class classification provides more exact and precise classification. The data would be separated into many sub classes based on the polarity in multi class classification. During the categorization procedure, Supervised Machine Learning Methods would be used. Sentiment levels may be tracked or studied via social media. This work examines sentiment analysis on communal media data for apprehension or detection using various artificial intelligence approaches. In the poll, it was visually campaigned that social media data, which included words, emoticons, and emojis, was used for sentiment recognition using various machine learning approaches. For sentiment analysis, the Supervised Learning with Radial Basis Function SL RBF Algorithm has a greater precision value. Yogesh Sahu | Dr. Pinaki Ghosh "Analysis of Social Media Sentiment for Depression Prediction using Supervised Learning and Radial Basis Function" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60158.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/60158/analysis-of-social-media-sentiment-for-depression-prediction-using-supervised-learning-and-radial-basis-function/yogesh-sahu
A Review Paper on Analytic System Based on Prediction Analysis of Social Emot...ijtsrd
Early development of Web, large numbers of documents assigned by readers’ emotions have been generated through new portals. By analyzing to the previous studies which focused on author’s perspective, our research focuses on readers’ emotions invoked by news articles. Our research paper provides meaningful assistance in social media application such as sentiment retrieval, opinion summarization and election prediction. In this paper, we predict the readers’ emotion of news, social media based on the social opinion network. Most specifically, we construct the opinion network based on the semantic distance. The communities in the news network, opinion network indicate specific events which are related to the emotions. Therefore, the news network, opinion network serves as the lexicon between events and corresponding emotions. We discussed neighbor relationship in network to predict readers’ emotions. At the last our result, our methods obtain better result than the state of the art methods. Moreover, our research developed a growing strategy to prune the network for practical application. The experiment shows the rationality of the reduction for application. Miss. Ashwini Ghatol | Prof. A. A. Chaudhari "A Review Paper on Analytic System Based on Prediction Analysis of Social Emotions from User Perspective" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49239.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/49239/a-review-paper-on-analytic-system-based-on-prediction-analysis-of-social-emotions-from-user-perspective/miss-ashwini-ghatol
This document summarizes a research paper that proposes using a logistic regression classifier trained with stochastic gradient descent to predict Twitter users' personalities from their tweets. It begins with an abstract of the paper and an introduction on personality prediction from social media. It then provides more detail on the anatomy of the research, including defining personality prediction from Twitter, its applications, and the general process of using machine learning for the task. Next, it reviews several previous studies on personality prediction from Twitter and social networks, noting their approaches, findings and limitations. It identifies remaining research gaps, such as the need for improved linguistic analysis of tweets and more robust/scalable predictive models. Finally, it proposes using a logistic regression classifier as the personality prediction model to address
The document discusses a citizen report from 2007 that analyzed progress towards achieving Millennium Development Goals (MDGs) in Madhya Pradesh, India. The report found that poverty, especially urban poverty, remained high and was declining slowly. Efforts were needed to boost livelihood opportunities in rural areas through non-farm sector development and industrialization. Investments in schools were also needed to increase access to education.
Sentiment Analysis on Twitter Dataset using R Languageijtsrd
Sentiment Analysis involves determining the evaluative nature of a piece of text. A product review can express a positive, negative, or neutral sentiment or polarity . Automatically identifying sentiment expressed in text has a number of applications, including tracking sentiment towards Movie reviews and Automobile reviews improving customer relation models, detecting happiness and well being, and improving automatic dialogue systems. The evaluative intensity for both positive and negative terms changes in a negated context, and the amount of change varies from term to term. To adequately capture the impact of negation on individual terms, here proposed to empirically estimate the sentiment scores of terms in negated context from movie review and auto mobile review, and built two lexicons, one for terms in negated contexts and one for terms in affirmative non negated contexts. By using these Affirmative Context Lexicons and Negated Context Lexicons were able to significantly improve the performance of the overall sentiment analysis system on both tasks. This thesis have proposed a sentiment analysis system that detects the sentiment of corpus dataset using movie review and Automobile review as well as the sentiment of a term a word or a phrase within a message term level task using R language. B. Nagajothi | Dr. R. Jemima Priyadarsini "Sentiment Analysis on Twitter Dataset using R Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28071.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28071/sentiment-analysis-on-twitter-dataset-using-r-language/b-nagajothi
Personality Prediction with social media using Machine LearningIRJET Journal
This document discusses predicting personality traits using machine learning models trained on social media data. It begins with an abstract describing previous research on using social media data for personality prediction. It then discusses extracting personality-related features from social media posts and using those features to train classifiers like random forests, logistic regression, and KNN. The document outlines collecting and preprocessing Twitter and Facebook data, extracting features, building classification models, and evaluating performance on predicting traits like extraversion and openness. In the end, it discusses challenges in personality prediction and opportunities for future work.
Personality Prediction with social media using Machine LearningIRJET Journal
This document discusses predicting personality traits using machine learning models trained on social media data. It begins with an abstract describing previous research on using social media data for personality prediction. It then discusses extracting features from social media data like tweets and comments using techniques like Myers-Briggs Type Indicator. Various machine learning algorithms are explored for classification, including random forest, logistic regression, and KNN. The methodology section outlines the steps of data collection, feature extraction, model generation and evaluation. In summary, the document proposes using machine learning to predict personality types from social media data by extracting features and training classification models.
Comparative Study of Cyberbullying Detection using Different Machine Learning...ijtsrd
The advancement of social media plays an important role in increasing the population of youngsters on the web. And it has become the biggest medium of expressing one’s thoughts and emotions. Recent studies report that cyberbullying constitutes a growing problem among youngsters on the web. These kinds of attacks have a major influence on the current generation’s personal and social life because youngsters are ready to adopt online life instead of a real one, which leads them into an imaginary world. So, we are proposing a system for early detection of cyberbullying on the web and comparing different machine learning Algorithms to obtain the optimal result. We are comparing four different algorithms which can be effectively used for the detection of cyberbullying, with the implementation of the bag of words algorithm with different n gram methods. Comparatively naïve Bayes algorithm has the highest accuracy of 79 with trigram implementation of the bag of words algorithm. Rohini K R | Sreehari T Anil | Sreejith P M | Yedumohan P M "Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30765.pdf Paper Url :https://www.ijtsrd.com/computer-science/artificial-intelligence/30765/comparative-study-of-cyberbullying-detection-using-different-machine-learning-algorithms/rohini-k-r
This document summarizes a research paper on opinion mining from Twitter data. It discusses the challenges of sentiment analysis on short Twitter posts, including named entity recognition, anaphora resolution, parsing, and detecting sarcasm. It also reviews several papers on related topics, such as frameworks for Twitter opinion mining using classification techniques, using Twitter as a corpus for sentiment analysis, and analyzing opinions during the 2012 Korean presidential election on Twitter. Overall, it covers key techniques in opinion mining like identifying opinion targets and orientation. It proposes future work to develop a web application to compare Twitter opinion mining performance and use supervised learning to improve accuracy.
Improving the believability in the interaction of synthetic virtual agents: T...Karlos Svoboda
1. The document discusses improving believability in interactions between humans and virtual agents by incorporating personality into virtual agents. It describes how personality is fundamental to individuality in humans and how integrating personality concepts into virtual agents can increase their believability, especially in group dynamics.
2. It presents a computational model called Synthetic Group Dynamics that supports creating group dynamics between virtual agents engaged in cooperative tasks. The model uses a metaphorical human-like model of personality to generate individuality and coherence between agents.
3. An experiment is described that uses real human personality data extracted from a database to endow virtual agents with personality based on the Synthetic Group Dynamics model, with the aim of improving believability in the agents
In this research work we have built a systems which pulls tweets , pre-process each tweet to remove unwanted artifacts and the gives stemming treatment to each token in the tweet to finally get the score value which is calculated on the basis of numerical strength expressed in mathematical expression for intimacy, trust , social distance between the parties interacting on digital media twitter. The nature of relationship with respect their tie is calculated on the bases of multivariate linear regression analysis and to further improve on this method which have conducted polynomial regression for finding a better and more accurate way to data fit the twitter tie dataset which is apparent from the statistical test value of Coefficient of determinant and other statistical test .The values of y-intercepts are interpreted and illustrated in results section .
Analysis of Economics Social Data Categorization on Inter Group Contact in U....ijtsrd
On the basic of general idea, Several different model of Inter group contact have been developed, each making somewhat different predications of the optimal conditions for effective contact experience. Om Prakash Maurya | Dr. Shiv Mangal Yadav | Ajeet Kumar "Analysis of Economics Social Data Categorization on Inter Group Contact in U.P. (India)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33680.pdf Paper Url: https://www.ijtsrd.com/economics/other/33680/analysis-of-economics-social-data-categorization-on-inter-group-contact-in-up-india/om-prakash-maurya
Similar to User Personality Prediction on Facebook Social Media using Machine Learning (20)
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a master’s degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacher’s knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
“One Language sets you in a corridor for life. Two languages open every door along the way” Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learners’ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachers’ confidence in teaching and improving students’ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachers’ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on students’ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. “Carbon capture and storage” can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD33414 | Volume – 4 | Issue – 6 | September-October 2020 Page 504
network properties such number of friends on social media
as well as their connections with personality traits. We
investigate the feature with larger co-relation with
Personality Traits. Finally, we proposed machine learning
algorithm for predication of personality by using Boosting.
The data collected by means of social media platform my
personality project data set.
A. Big Five Mode
Big five model is mostly used recently to measure the
personality. It describes the human personality structure. It
diminishes the greater number of personal objectives five
most personality traits. That model the composition OCEAN
[12][13]. The Table 1 Shows the five facts defining each of
factor with their characteristics [14] such as Openness,
Conscientiousness, Extraversion, Agreeableness,
Neuroticism.
Openness: It is a general gratefulness for art, emotions,
imagination and variation of knowledge.
Conscientiousness: It is tendency to display self-
discipline, try for achievements. The average level of
conscientiousness moves up among the young to adults
and then dismiss among the older to adults.
Extra-version: It is distinguishing by spread of
activities, energy creation from external means.
Agreeableness: It is Trait reflects the personality in
which the people are more cooperative. It reflects the
help-fullness personality.
Neuroticism: It is negative traits of personality express
the sad emotions like depression, or moody.
TABLE1. OVERVIEW OF BIG FIVE MODEL
Personality Traits Some characteristics
Openness(O)
Openness measures the curiosity, tolerance, imagination, creativity, tolerance,
political liberalism, and appreciation for culture. People scoring high on Openness
such as switch, new and unusual ideas, appreciate and have a good sense of aesthetics
Conscientiousness(C)
Conscientiousness measures desire for a coordinated approach to life in comparison
to a spontaneous one. People scoring high on Conscientiousness are more likely to be
well organized, reliable, and consistent. people scoring high on conscientiousness
pursue long-term goals, enjoy planning and seek achievements.
Extraversion(E)
Extroversion measures a tendency to seek stimulation in the external world,to
express the positive emotions and give the company of others. People scoring high on
Extroversion tend to be more outgoing, friendly, and socially active. They are usually
energetic and talkative.
Agreeableness(A)
Agreeableness relates to a focus on maintaining positive social relations, being
friendly, compassionate, and cooperative. People scoring high on Agreeableness tend
to trust others and adapt to their needs. They also related to the short bound by social
trust and conventions
Neuroticism(N)
Neuroticism measures the tendency to experience mood swings andemotions such as
guilt, anger, anxiety, and depression.
The remaining of this paper is arrange as follows. We discussed the literature survey related to personality predication. we
describe the System Architecture and System Overview. we describe the System Analysis. Next, Result and Discussion.Finally,
we conclude our paper.
REVIEW OF LITERATURE
There are number of research paper on personality predication on social media Personality predication subjects divided in to
two methods: Computational Fundamentals Social network analysis.
Tandera et al. [2]They used the two datasets, one from mypersonaliy Facebook dataset and other is manuallycomposed.They
Predict the Personality of the person by using the BigFiveModel. Using the Support vector machine,theyachievedthetopmost
Prediction accuracy of 70.40%.
Pennebaker Key et al. [3] Introduce work related to personality extraction from the text they examine the words in different
factors such as diaries, college assignments and social psychological manuscripts to observe the personality related features
with linguistic library. The Result shows that Agreeableness personality trades tents to use more text the neuroticism used
more negative/sad words.
Ana CES lim et al. [4]wrote a pioneering work dedicated to personality prediction into a multi-label classification problem. In
that, they process more than one personality trait. They were classified the personality traits of Twitter using Naïve Bayesian
prediction model.
Argaman et al [5] They classified the personality traits namely neuroticism and Extraversion using Lingui sting feature. They
observed that neuroticism iscorrespondence to the functional lexical feature and the extraversion trait resultinlessobserved.
In N.M.A listeria et al [6] They introduced the Naïve Bayesian method for the classification of personality traits. In that, the
Naive Bayesian method consists of two phases such as the Learning phase and classification phase. The user- written text is
used as input for predicting the personality then match them to find the partner on online dating sites.
SoujanyaPoria et al. [7] They proposed a new approach for personality detection which is based on incorporating the
sentiment, affective and common-sense knowledge from the text using resources. In their approach, they combined common
3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD33414 | Volume – 4 | Issue – 6 | September-October 2020 Page 505
sense knowledge-based features with phycho-linguistic features and frequency-based features and later the features were
employed in supervised classifiers. Further, they developed five support vector machinemodelsforfivepersonalitytraits.They
designed five Social Media Optimization (SMO) based supervised classifiers for five personality traits. Their experimental
results show that the use of common-sense knowledge with perceptual and sentiment information with psycho-linguistic
features and frequency-based analysis at lexical level that upgrades the accuracy of the current frameworks.
Go beak et al [8] predicted the personality of 279 Facebook users. In which the find the word count as Linguistic feature and
friend count as SNA feature.
Sibel Adult et al [9] Predict the personality of user from Facebook Data and text from Twitter. They introduced the number of
measures related to number of social media. They analyzed these features based on textual analysis of message send by
another user. The aim of our study examines the all personality traits from the structure of social network analysis to the
personality interaction using my personality project dataset [10] as well as Facebook API.
Ong e al. [11] Predict the personality based on Twitter information in Bahasa Indonesia. The system uses the 329 users of
Twitter social media to predict the personality. They use the XGboost classification model.
SYSTEM OVERWIEW
A. Problem statement
To effectively evaluate the performance of XGBoost usingmachine learning for the accuracyofpersonalitypredictionofuseron
social media.
B. system Architecture
Personality Prediction model consist of following terms
1. Data Preprocessing
All the data goes through preprocessing stages before it processed. Preprocessing perform steps. Consist of removing URLs,
Symbols, Names, Stemming, removing stop word and lower cases. In our work we use python and machine learning. Data
before using the machine learning perform the data preprocessing.
2. Feature Extraction
A User’s behavior on social media isoffered by current behavior ofanother user. In many applicationsavailable for explaining
such behavior happen and expand [15]. In our work all data from Dataset classified in two parts:
Text Feature Extraction: Analyze the content of social media status texts uses the dictionaries.
Social network behavior analysis:Which consist ofNetwork size, Transitivity, Brokerage,Densitythisinformationdenotes
the users network behavior on Facebook.
Figure 2 System overview
Before the text data feed in machine learning for extorting the feature, the raw text status represented in the following forms:
Bag ofwords representation [16]: In this presentation every sentence is the different set of words in whichwedon’tconsidera
grammar here repetition of word together in feature future classification.
SNA (Social Network Analysis): Itis method ofcollectingand examining data from social network suchasFacebook,tweeter
and Instagram. In our study we used feature related to social network of user with personality trades such as network size
betweenness, density, brokerage and Transitivity.
4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD33414 | Volume – 4 | Issue – 6 | September-October 2020 Page 506
Network size: This introduce the number of social friends on social media [17].
Betweenness: Refers the number of parks between pair of individuals those are not connected to each other directlythrough
the density it indicates the potential connection on network that are actual connections more density network induces more
dissipation between persons in information flow [18].
Brokerage: It is a state or situation in which person connects another people and the unconnected action or fills the gap in
social structure.
Transitivity: it is based on friend of my friend is also my friend in which single are directly connected to each other one of
them is only accessible with other individual represent them frequency of interaction between the network nodes [19] [20].
3. Feature Selection
For constructing classification model the feature connection is important. feature selection is preprocessingstepforamachine
learning. feature selection is use for dimensionality reduction and can effectively find the both irrelevant and redundant
features. There are two methods to major the correlation between two random variables.
Based on Classified Liner correlation.
Based on information theory [21].
To Measure the stability of linear correlation between two variable and criticize the important features for personality traits
prediction we use the Pearson Correlation coefficient. It isa part of the linear correlation between two variables X and Y [21].
For the pair of variable(X,Y),the linear Correlation coefficient formula of r(X,Y) is given by:
(3)
Where
(4)
And
(5)
These are the mean of the X and Y Variable and n is sample size. The value of correlation coefficient in between -1 and 1. If X
and Y Variable arecompletely parallel then r(X, Y) takes the Value 1 as Positive Correlation or for NegativeCorrelationittakes
the value as -1. If both variables are independent on each other it takes the value as Zero [22][23].
4. Prediction Model
After finding the correlation between the features, we apply the classifier for predicting the personality traits.
We use the XGBoost model as classifier. XGBoost is an algorithm. Also, it has recently been dominating applied machine
learning. XGBoost is a gradient boosted decision trees implementation. It is a type of software library in Python. There are
number of interfacesavailable to access thismodel suchasPython interfacealong with integrated modelinscikit-learn.weuse
the Python interfaces for XGBoost model. The Algorithm for Building the XGBoosting Model Perform the following Steps:
Load All the Python Libraries Here We load all the libraries of python such as XGBoost, Readr, Stringr.
Next part is to load all collected Dataset (Here We Use the mypersonality Dataset of Facebook User)
First Load the label Of Train Data.
Next Combine the Training and Testing Data.
Perform Data Cleaning
Here All the Feature are Categorized in various format and Perform the Data Prepossessing
Splitting of Training and Testing Data.
Tune and Run he Model.
Predicting score test set.
XGboosting algorithm working
1. First model F0 is defined to predict the target variable Y.
2. fit model to the residual h1(x) =Y-F0.
3. Create a new model using the h1(x) and F0 to give the F1, it is boosted version of F0.
4. The mean squared error of F1 will be lower than the F0.
5. To Improve the performance of F1 model, then residuals of F1 and create a new model F2. F2(x)<-F1(x)+h2(x)
6. This can be done for the ‘m’ iterations.
5. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD33414 | Volume – 4 | Issue – 6 | September-October 2020 Page 507
RESULT AND ANALYSIS
Table 2 shows that the word “love” shows the positive emotions to words the extraverted personality traits. Table shows the
Probability score of all personality traits and category of the personality. Table 3 shows the personality score of the “python”
word. The Python word gives the openness type of personality trait. Based on the correlation results for the social network
features, we found that extraversion represents the highest correlated trait.
TABLE 2 SHOWS THE RESULT OF THE TEXT ANALYSIS OF THE “LOVE” WORD
Text analysis Personality traits Prediction Score Prediction Probability score Trait Category
“Love”
Openness(O) 0.8692 4.319 True
Conscientiousness(C) 0.4149 3.662 False
Extraversion(E) 0.4452 3.472 True
Agreeableness(A) 0.5590 3.776 True
Neuroticism(N) 0.5982 2.627 True
TABLE 3 SHOWS THE RESULT OF THE TEXT ANALYSIS OF THE “PYTHON” WORD
Text analysis Personality traits Prediction Score Prediction Probability score Trait Category
“Python”
Openness(O) 0.664 4.123 True
Conscientiousness(C) 0.441 3.518 False
Extraversion(E) 0.351 3.330 False
Agreeableness(A) 0.424 3.393 False
Neuroticism(N) 0.461 2.808 False
Table 4 shows the personality analyzer whichindicate that the all profiles are collected from the social media andcalculatethe
personality score.
TABLE 4 SHOWS THE RESULT OF THE SOCIAL MEDIA FRIENDS PERSONALITY PREDICTION SCORE
Users
Prediction Score Prediction Probability Score
O C E A N O C E A N
User1 0.98 0.19 0.21 0.67 0.17 4.23 3.14 3.29 3.49 2.71
User2 0.64 0.71 0.23 0.6 0.50 3.67 3.49 3.23 3.68 3.01
User3 0.99 0.10 0.14 0.12 0.05 4.20 3.19 3.38 3.04 2.53
User4 0.71 0.39 0.37 0.51 0.38 4.16 3.43 3.37 3.49 2.70
User5 0.66 0.44 0.35 0.42 0.47 4.12 3.51 3.21 3.39 2.82
The Personality Prediction score of the all five personality traitsare shown in the figure 3. The result shows that the openness
personality traits give the highest personality score after prediction.
Figure 3 Shows the personality score of all Five personality traits prediction
We compare the result of accuracywith the existingmachine learning algorithm. Figure 4showsthatthepersonalityprediction
result analysis. Finally, for achieving maximum prediction accuracy, Xgboosting model is used for the maximum accuracy.
TABLE 4 SHOWS THE ACCURACY OF ALL PERSONALITY TRAIT IN PROPOSED AND EXISTING SYSTEM
Performance Measures Personality Traits Proposed System % accuracy Existing system % accuracy
Accuracy
Openness(O) 78.66 68
Conscientiousness(C) 64.5 61.6
Extraversion(E) 76 44
Agreeableness(A) 60.8 54.8
Neuroticism(N) 64 64.8
6. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD33414 | Volume – 4 | Issue – 6 | September-October 2020 Page 508
Figure 4 Performance analysis
CONCLUSION
Social network analysis hasincreased largelyinrecenttimes.
To extract the personality of any person on the social
networking websites is very useful for many applications in
various domains like including job success, attractiveness,
and happiness.Personality detection from social media is to
extract the feature from there updates and the behavior
attribute of a person from the written text on social media.
This Prediction Model help to predict the personality of user
from social media. Xgboosting predictionmodeloutperforms
than the other prediction models on the all personalitytraits.
Acknowledgment
I have huge delight in presenting the project” User
Personality prediction on Social Media Using Machine
Learning” under the guidance of Dr. S. R. Jadhao and PG
Coordinator Prof. A. S. Vaidya. I gratefully thanks our HOD
Dr. D. V. Patil to Gokhale Education Society’s R. H. Sapat
College of Engineering, Management Studies Research,
Nashik-5 for giving required equipment’s, web get and
Research Books. I also Thank to Teaching and Non-teaching
staff of GESRHSCOE who helped me.
References
[1] Islam Md. Rafiqul, Kabir Ashad, Ulhaq Anwar, wang
Hua,, “Depression Detection from Social network data
using Machine Learning techniques,” by springer
Nature Switzerland AG 2018.
[2] Tandera T, Hendro, Suhartono D, Wongso R, Yen Lina
Praseti, “Personality prediction system fromFacebook
users,” Procedia Comput. Sci., vol. 116, pp. 604–611,
Dec. 2017.
[3] J. W. Pennebaker, R. L. Boyd, K. Jordan, and K.
Blackburn, “The development and psychometric
properties of LIWC2015,” Tech. Rep. 2015.
[4] Lima, Ana CES, and Leandro N. De Castro, “Multi-label
Semi-supervised Classification Applied to Personality
Prediction in Tweets,”Computational Intelligence and
11th BrazilianCongress on Computational Intelligence
(BRICS-CCI and CBIC), 2013 BRICS Congress on. IEEE,
2013.
[5] S. Argamon, S. Dhawle, M. Koppel, and J. Pennebaker,
“Lexical predictors of personality type,” Tech. Rep.,
2005.
[6] N. M. A Lestari, I. K. G. D .Putra, A. A. K. A. Cahyawan,
“Personality types classification for Indonesian text I
partners searching website using Na¨ıve Bayes
Methods”, International Journal of software and
Informatics Issue,2013.
[7] SoujanyaPoria, AlexandarGelbukh, Basant Agarwal,
Erik Cambria, and Newton Howard, “Common Sense
Knowledge Based Personality. Recognition fromText”,
Springer-Verlag Berlin Heidelberg pp. 484–496, 2013.
[8] J. Golbeck, C. Robles, and K. Turner, “Predicting
personality with social media,”in Proc.ExtendedAbstr.
Hum. Factors Comput. Syst. (CHI), 2011, pp. 253–262.
[9] S. Adali and J. Golbeck, “Predicting personality with
social behavior,” in Proc. IEEE/ACM Int. Conf. Adv.
Social Netw. Anal. Mining (ASONAM), Aug. 2012, pp.
302–309.
[10] M. Kosinski, S. C. Matz, S. D. Gosling, V. Popov, and D.
Stillwell, “Facebook as a research tool for the social
sciences: Opportunities, challenges, ethical
considerations, and practical guidelines,” Amer.
Psychol., vol. 70, no. 6, pp. 543–556, 2015.
[11] V. Ong; et al.,” Personality prediction based on twitter
information in Bahasa Indonesia,” in Proc. Federated
Conf. Comput. Sci. Inf. Syst. (FedCSIS), 2017, pp. 367–
372.
[12] L. R. Goldberg, “The structure of phenotypic
personality traits,”Amer.Psychol., vol. 48, no.1,pp.26–
34, 1993.
[13] E. C. Tupes and R. E. Christal, “Recurrent personality
factors based on trait ratings,”J. Pers., vol. 60, no. 2, pp.
225–251, 1992.
[14] O. P. John and S. Srivastava, “The big five trait
taxonomy: History, measurement, and theoretical
perspectives,” Handbook of Personality: Theory and
Research, vol. 2. 1999, pp. 102–138
[15] T. P. Michalak, T. Rahwan, and M. Wooldridge,
“Strategic social network analysis,” inProc.AAAI,2017,
pp. 4841–4845.
[16] Soumya George K,Shibily Joseph, “TextClassificationby
Augmenting BagOf Words(BOW) Representationwith
Co-occurencefeaure”, IOSR Journal of computer
Engineering, 2014, pp 34-38.
7. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD33414 | Volume – 4 | Issue – 6 | September-October 2020 Page 509
[17] J. E. Lonnqvist, J. V. Itkonen, M. Verkasalo, and P.
Poutvaara, “The five factor model of personality and
degree and transitivity ofFacebook social networks,”J.
Res. Person., vol. 50, pp. 98–101, Jun. 2014
[18] H. Lin and L. Qiu, “Sharing emotion on Facebook:
Network size, density, and individual motivation,” in
Proc. Extended Abstr. Hum. Factors Comput. Syst.
(CHI), 2012, pp. 2573–2578.
[19] M. E. J. Newman and J. Park, “Why social networks are
different from other types of networks,” Phys. Rev. E,
Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top., vol.
68, no. 3, p. 036122, 2003.
[20] M. Aghagolzadeh, I. Barjasteh, and H. Radha,
“Transitivity matrix ofsocial network graphs,” in Proc.
IEEE Stat. Signal Process. Workshop (SSP), Aug. 2012,
pp. 145–148.
[21] L. Yu and H. Liu, “Feature selection for high-
dimensional data: A fast correlation-based filter
solution,” in Proc. 20th Int. Conf. Mach. Learn. (ICML),
2003, pp. 856–863.
[22] Cramer, Fundamental, “Statistics for Social Research:
Step-by-Step Calculations and Computer Techniques
Using SPSS for Windows,” Evanston, IL, USA:
Routledge, 2003.
[23] Hall M A, “Correlation-Based Feature Selection for
Machine Learning,” 1999.