This document summarizes a research paper that proposes using data mining clustering algorithms on social network data to identify targeted users for internet advertising. Specifically, it involves gathering post and comment data from a Facebook brand page, preprocessing the data by tokenizing, stemming, and removing stop words. Then a clustering algorithm will classify the posts and comments into categories to discover influential users. The goal is to develop a systematic technique to improve marketing strategies and target key users for online advertisements using insights from social network data and data mining.
Abstract
Over the last decade, the way people communicate with each other has been changing astonishingly. The
extensive new plethora of media has given to customers more options to gather and provide information
about products and services. This study attempted to identify and measure the degree to which Social
Networking Sites influence people's professional lives, their social skills and work productivity and
ultimately boost effectiveness. Quantitative and qualitative methodologies were used for this research.
The results reveal that Social Networking Sites play an essential role in employees‟ relations with
customers, that Instant Messaging (IM) services offered by Social Networking Sites can be a crucial
element for organizations in disseminating information, enabling knowledge sharing, increasing
productivity and promoting teamwork. It seems that customer engagement and Customer Relationship
Management (CRM) are vital tools for organizational effectiveness, not only to maintain loyal clients but
also to survive and keep maintaining profitability.
Keywords: Social Media, Social Commerce, Social Networking, CRM, Instant Messaging (IM), Web
2.0, Facebook, Instagram, Linked In, Twitter, Marketing, Social Media Marketing, Cyprus.
Abstract
Over the last decade, the way people communicate with each other has been changing astonishingly. The
extensive new plethora of media has given to customers more options to gather and provide information
about products and services. This study attempted to identify and measure the degree to which Social
Networking Sites influence people's professional lives, their social skills and work productivity and
ultimately boost effectiveness. Quantitative and qualitative methodologies were used for this research.
The results reveal that Social Networking Sites play an essential role in employees‟ relations with
customers, that Instant Messaging (IM) services offered by Social Networking Sites can be a crucial
element for organizations in disseminating information, enabling knowledge sharing, increasing
productivity and promoting teamwork. It seems that customer engagement and Customer Relationship
Management (CRM) are vital tools for organizational effectiveness, not only to maintain loyal clients but
also to survive and keep maintaining profitability.
Keywords: Social Media, Social Commerce, Social Networking, CRM, Instant Messaging (IM), Web
2.0, Facebook, Instagram, Linked In, Twitter, Marketing, Social Media Marketing, Cyprus.
Social networks are websites which allow users to communicate, share knowledge about similar interests,
discuss favorite topics, review and rate products/services, etc. Even though social network marketing is still
in its infancy, it holds a potential success for businesses if it is carefully integrated in the marketing mix. This
paper discusses the advantages and risks that social network marketing holds. Future opportunities for
social networks, particularly mobile social networking, are also discussed
Can social media become the final frontier in customer experience management? This research paper was published in Nirma International Conference on Management, 5th Jan 2012. ISBN 93-81361-68-1
A study on Gen y consumer attitude toward social media marketing in TrichyAnup Mohan
This study aims to specify Generation Y consumers’ attitude toward social media marketing. Given this context the questionnaire prepared for gathering data was distributed among 150 students of Jamal Mohamed College,Trichy belonging to age group 18-33 during August 2013.This research paper is based on my M.Phil dissertation.
Author and Download:
http://blog.resonateinsights.com/white-paper-motivations-in-the-marketing-mix/
What’s the difference between a consumer and a customer? Motivation.
Please, download document from original source. Document here for study purposes and personal use.
Are Social Networks more persuasive than traditional Word-of-MouthSimranDas4
A deep research study was conducted on the topic, where I have compared and highlighted both Social Networks and Word-of-Mouth and how both has influenced the buying behaviour of the consumers.
Impact of social branding on purchase intention: An empirical study of social...Sparkles Soft
Impact of social branding on purchase intention: An empirical study of social media websites.
Writer
Jahanzeb Khan
SPARKLES SOFT
www.sparklessoft.com
MobileWhatsApp/Viber: 00923004604250
00923124604250
Skype sparkles.soft
Vonage/Viber 00923004604250
thesis help, uk dissertation help, custom thesis writing in uk, uk mba thesis,
Are Social Networking more persuasive than Traditional Word of MouthKUMAR GAURAV
In the present scenario of 21st century when every thing is changing so fast traditional things are losing its importance. This research is conducted to investigate and compare the reliability of recommendation made through social networking and traditional word of mouth.
Hypothesis-
H1- WOM and social networking influence the customer
purchase decision.
H2- Social networking recommendation are more reliable
than traditional WOM.
Major findings are-
-Consumers awareness towards Social Networking and traditional WOM is high.
-Social Network Marketing is more reliable that traditional WOM.
Suggestions-
-Companies should try to promote positive word about their products through social networking and WOM because traditional advertising id losing its effectiveness and due to increased consumerism.
-Companies should to use social networking efficiently to increase their market share because it is not only cost effective but reliable too.
-Quality should be maintained because consumer believe that spreading positive WOM and social networking is difficult because they are not controlled by the marketers and its possible only when product quality is good.
A presentation on developing effective websites and social media marketing strategy to the rural sector. Presented at the marketing to the rural sector conference, Auckland NZ in September 2010
marketingThe Effectiveness of social media in event Mr Nyak
marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing
Usman Koroma
Vé máy bay vietnam airlines nội bài đi luang prabang giá rẻthuy01baydep
Bạn đang băn khoăn không biết nên mua vé máy bay Vietnam Airlines giá rẻ ở đại lý nào uy tín.
Baydep.vn tự hào là đại lý bán vé ủy quyền của hãng hàng không Vietnam Airlines tại Việt Nam.
Social networks are websites which allow users to communicate, share knowledge about similar interests,
discuss favorite topics, review and rate products/services, etc. Even though social network marketing is still
in its infancy, it holds a potential success for businesses if it is carefully integrated in the marketing mix. This
paper discusses the advantages and risks that social network marketing holds. Future opportunities for
social networks, particularly mobile social networking, are also discussed
Can social media become the final frontier in customer experience management? This research paper was published in Nirma International Conference on Management, 5th Jan 2012. ISBN 93-81361-68-1
A study on Gen y consumer attitude toward social media marketing in TrichyAnup Mohan
This study aims to specify Generation Y consumers’ attitude toward social media marketing. Given this context the questionnaire prepared for gathering data was distributed among 150 students of Jamal Mohamed College,Trichy belonging to age group 18-33 during August 2013.This research paper is based on my M.Phil dissertation.
Author and Download:
http://blog.resonateinsights.com/white-paper-motivations-in-the-marketing-mix/
What’s the difference between a consumer and a customer? Motivation.
Please, download document from original source. Document here for study purposes and personal use.
Are Social Networks more persuasive than traditional Word-of-MouthSimranDas4
A deep research study was conducted on the topic, where I have compared and highlighted both Social Networks and Word-of-Mouth and how both has influenced the buying behaviour of the consumers.
Impact of social branding on purchase intention: An empirical study of social...Sparkles Soft
Impact of social branding on purchase intention: An empirical study of social media websites.
Writer
Jahanzeb Khan
SPARKLES SOFT
www.sparklessoft.com
MobileWhatsApp/Viber: 00923004604250
00923124604250
Skype sparkles.soft
Vonage/Viber 00923004604250
thesis help, uk dissertation help, custom thesis writing in uk, uk mba thesis,
Are Social Networking more persuasive than Traditional Word of MouthKUMAR GAURAV
In the present scenario of 21st century when every thing is changing so fast traditional things are losing its importance. This research is conducted to investigate and compare the reliability of recommendation made through social networking and traditional word of mouth.
Hypothesis-
H1- WOM and social networking influence the customer
purchase decision.
H2- Social networking recommendation are more reliable
than traditional WOM.
Major findings are-
-Consumers awareness towards Social Networking and traditional WOM is high.
-Social Network Marketing is more reliable that traditional WOM.
Suggestions-
-Companies should try to promote positive word about their products through social networking and WOM because traditional advertising id losing its effectiveness and due to increased consumerism.
-Companies should to use social networking efficiently to increase their market share because it is not only cost effective but reliable too.
-Quality should be maintained because consumer believe that spreading positive WOM and social networking is difficult because they are not controlled by the marketers and its possible only when product quality is good.
A presentation on developing effective websites and social media marketing strategy to the rural sector. Presented at the marketing to the rural sector conference, Auckland NZ in September 2010
marketingThe Effectiveness of social media in event Mr Nyak
marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing The Effectiveness of social media in event marketingThe Effectiveness of social media in event marketing
Usman Koroma
Vé máy bay vietnam airlines nội bài đi luang prabang giá rẻthuy01baydep
Bạn đang băn khoăn không biết nên mua vé máy bay Vietnam Airlines giá rẻ ở đại lý nào uy tín.
Baydep.vn tự hào là đại lý bán vé ủy quyền của hãng hàng không Vietnam Airlines tại Việt Nam.
Auction Game Theory Based Adaptive Position Update Strategy for Geographic Ro...IJSRD
The Auction game based Adaptive Position Update strategy for geographic routing, which dynamically adjusts the frequency of position updates based on the mobility dynamics of the nodes and the forwarding patterns in the network. Adaptive position update is based on three simple principles: first principle is nodes whose movements are harder to predict update their positions more frequently (and vice versa), then the second principle is nodes closer to forwarding paths update their positions more frequently (and vice versa) and last principle is Forwarding nodes are selected based on distance and residual energy with bidding among the neighbors. Several experimental analyses, which is validated by NS2 simulations of a well-known geographic routing protocol, Greedy Perimeter Stateless Routing Protocol (GPSR), shows that game based Adaptive Position Update strategy for geographic routing can significantly improve the packet delivery ratio and improve the routing performance in terms of throughput in comparison with periodic beaconing and other recently proposed updating schemes. Finally give a better result in throughput and packet delivery ration by incurring a relatively smaller delay in delivering the packets. As the no. of nodes increases, this results in better packet delivery ratio of around 98%. The tradeoff between packet delivery ratio and Routing Over Head is slightly increased, The benefits of our work further confirmed by undertaking evaluations in realistic network scenarios, which account for localization error, realistic radio propagation, and sparse network.
I Improving the Employability Framework through SIIP – Curriculum development, Skill enhancement, Staff Exchange, Industrial Projects, Accreditaon, Survey & Rankings.
II. Role of SIIP in promong inclusive growth – Enhancing Alumni involvement, Students' Job placement, Entrepreneurship, Internships
III. Scaling up of successful SIIP models – Best pracces
Declaración redactada para dar a conocer de manera conjunto el actuar que esta llevando el gobierno de chile para validad algún proceso de consulta sin haberla realizada.
Social media is currently functioning as specialized instruments for business which helps in building brand picture and clients relationship. Internet based life has changed the manner in which organizations cooperate with clients
Journal of Economics and Business Research, ISSN 2068 - 35.docxtawnyataylor528
Journal of Economics and Business Research,
ISSN: 2068 - 3537, E – ISSN (online) 2069 – 9476, ISSN – L = 2068 – 3537
Year XX, No. 2, 2014, pp. 155-164
Social Media Marketing to Increase Brand Awareness
M. Bîja, R. Balaş
Monica Bîja
Faculty of Economics
"Aurel Vlaicu" University of Arad, Romania
Raluca Balaş
Economic College, Arad
Abstract
Social networks are becoming more and more
widespread and they are literally conquering the World
Wide Web. Facebook has managed to arrive even in poor
and remote territories which apparently have nothing to
do with our always on the move modern world.
However, only on the African continent there are more
than 100 million active Facebook users who represent
50% of the African population having access to Internet.
Thus, it would be huge marketing mistake for businesses
not to take into consideration this opportunity to get in
touch with prospective customers (Neti, 2011). Social
media is hot and has turned into a “must” for businesses
looking for brand awareness. Therefore, the techniques
used to attract customers by means of social networks
have gained quite a high degree of sophistry (Neti,
2011). In an age in which the average internet user
accesses his/her social network account at least fourteen
times a day, companies cannot afford to be absent from
this medium. The aim of the present paper is to present
the concept and characteristics of social media and how
it can be used in order to increase brand awareness.
M. Bîja, R. Balaş
8
Keywords: social media marketing, social networks,
social media strategies, brand awareness.
Introduction
Kietzmann J.H. (2001) explains that consumers used the Internet
for its content: they read it, they watched it, and they used it in order to
purchase various products and services. Nowadays, more and more
consumers are utilizing content sharing sites, blogs, social networking
and wikis - to create, modify, share and discuss Internet content. This
represents the social media phenomenon, which can have an enormous
impact on a business’ reputation, sales and why not on its survival in an
environment getting fiercer and fiercer as days pass by.
The Social Media Marketing is not such a new phenomenon as
many might be tempted to believe. It did not begin yesterday or the day
before yesterday. It is actually more than ten years old. The entire
phenomenon began with the launch of LinkedIn in 2003. But since this
is a network targeted mainly to businesses its popularity is much lower
than that of the social networks dedicated to the public at large
(Pradiptarini, 2011).
LinkedIn was soon followed by MySpace and Facebook in 2004.
The hysteria of sharing pictures, videos and thoughts on line was
augmented by the launch of YouTube in 2005 and of Twitter in 2006
(Pradiptarini, 2011). These are the main players on the market. They are
doubled by some mi ...
A brief description of what social media marketing is all about and how companies can take advantage of social media marketing to engage their customers.
AICTE Sponsored National Conference on “Artificial intelligence in Marketing”, Department of Management Studies, PSNA college of Engineering & Technology, Dindigul, Tamil Nadu, India on 23rd December 2020
This is my final year project on Social media Marketing for BBA examination under MAKAUT
Disclaimer-
This all facts are collected data from various new sportal and social sites
Leveraging Social Media to Gain Market Shares in Services MarketingSocial Samosa
Surveys indicate that only 53% of the enterprises use social media as a part of their strategy and only half of these have an effective social media strategy in place.
Instructions for the Business Research Project OptionIf the stu.docxnormanibarber20063
Instructions for the Business Research Project Option:
If the student picks the Business Research Project option, the guidelines below outline the project's expectations:
The purpose of this project is to pick a current issue or force affecting businesses, important to many businesses, and to research it. Examples would include globalization, increased focus on diversity of the workforce, greater competition, etc.
The research performed should focus on history and background of the issue and how it is affecting businesses today.
The remainder of the paper will address the possible trends of the issue [such as increasing globalization or increasing competition] and alternatives business managers have to address the issue.
Required Major parts for paper:
I. Introduction [What is the topic, why it is important….to whom]
II. Review of existing literature [history, background, current company experiences]
III. Impact on business [in the past, now, going forward]
IV. Going forward [projected trends, pending legislation, likely regulation, political pressures]
V. Management options to address likely trends going forward; these could include actions to mitigate risks of the trends or actions to take advantage of the trends
VI. Conclusion
Topic
The issue chosen for research is the role of new media on marketing in 2017 and beyond. The research project will explore available figures to find out if businesses are still spending big on traditional media advertising, including radio, television, and print media. The data will be compared to spending on online advertising over the past half decade. If indeed businesses are changing their advertising strategies, it will be important to show the effectiveness of new media. According to Forbes, people are watching more videos online and thus businesses may have to take note and create not only interesting but also informative content for their consumers. Social media has already been embraced by most corporations as a form of communication to customers. However, the paper will try and see the importance of having an actual social media strategy and the importance of well trained persons to handle these accounts.
BUSINESS RESEARCH OUTLINE 2
Business Research Outline
I. Introduction
The topic of this research is new media marketing. This is a form of marketing that is anchored on promotion of brands and the sale of products through emerging online channels. New media marketing leverages on the elements of both established and emerging online channels to engage potential and current customers. This channels include display advertising, content marketing and social networking platforms (Calder, Malthouse, & Maslowska, 2016). New media marketing aims at getting the consumer to interact with the brand and engaging them in a way that increases awareness and ultimately product sales. New media marketing has become significantly vital in the digital era and huge a.
BEST DIGITAL MARKETING INSTITUTE IN BANGALOREAmreenShaikh60
When it comes to finding the best digital marketing institute in Bangalore, several factors need to be considered, such as course curriculum, faculty expertise, industry reputation, student reviews, and placement records. While there are several excellent institutes in Bangalore, one that consistently stands out is NIDM
Here is my PowerPoint highlighting social media when it comes to marketing. I added some advantages, disadvantages, and some history on social media itself.
Maintaining Data Confidentiality in Association Rule Mining in Distributed En...IJSRD
The data in real world applications is distributed at multiple locations, and the owner of the databases may be different people. Thus to perform mining task, the data needs to be kept at central location which causes threat to the privacy of corporate data. Hence the key challenge is to applying mining on distributed source data with preserving privacy of corporate data. The system addresses the problem of incrementally mining frequent itemsets in dynamic environment. The assumption made here is that, after initial mining the source undergoes into small changes in each time. The privacy of data should not be threatened by an adversary i.e. the miner and target database owner should not be able to recover original data from transformed data.
Performance and Emission characteristics of a Single Cylinder Four Stroke Die...IJSRD
The current trends in CI engine are to use Water-diesel emulsion as alternative fuel. It can be employed directly to the existing CI Engine system with no additional modifications. This system helps in reduction of NOx as well as PM, which in turn improve the combustion efficiency of the engine. However there are still investigations have to be done. The current work mainly concentrated on diesel engine run on water-diesel emulsions and its effect on engine performance and emissions were studied. The various loads were applied on a constant speed diesel engine run on water-diesel emulsions of varying ratios of 0.2:1, 0.3:1. 0.4:1 and 0.5:1. Emission and performance characteristics were measured and were compared with base diesel operation. The emissions like NOx and smoke density were found to decrease greatly and brake thermal efficiency was found to increase at high loads. Smoke level was 4.2 BSU and 3 BSU for base diesel and water diesel emulsion of 0.4. The ignition delay was found to increase with water diesel emulsions. This also increased the maximum rate of pressure rise and peak pressure. The engine was found to run rough with water-diesel emulsions. The optimal water-diesel ratio was found to be 0.4:1 by weight. HC and CO emissions were found to increase with water diesel emulsions.
Preclusion of High and Low Pressure In Boiler by Using LABVIEWIJSRD
Pressure is an important physical parameter to be controlled in process boiler, heat exchanger, nuclear reactor and steam carrying pipeline. In the article the issue has been face in boiler operation due to pressure is handled. In boiler, the problem is due to maximum and minimum range of pressure. Due to the issues there is a chance to causes the hazop. To avoid such the problem the high and low pressure in boiler has to control. In the paper such the problem has sorted out by implementing ON-OFF control. Here the proposed control action for pressure control is implemented with the help of LabVIEW (Laboratory Virtual Instrument Engineering Workbench) software and NI ELVIS hardware. In the idea the boiler’s low range and high is monitored and controlled valve desirably. And also the high range and low range of pressure in the boiler is signified to plant operator by alarm signal.
Prevention and Detection of Man in the Middle Attack on AODV ProtocolIJSRD
In this paper it is discuss about AODV protocol and security attacks and man in the middle attack in detail. AODV Protocol is use to find route and very important protocol for communication in wireless network. So AODV protocol should be Secured and it is a big challenge. There are various attacks that occur on it. Here in this paper it discussed about the detection and preventions of man-in-the-middle attack in detail.
Comparative Analysis of PAPR Reduction Techniques in OFDM Using Precoding Tec...IJSRD
In this modern era, Orthogonal Frequency Division Multiplexing (OFDM) has been proved to be an explicit promising technique for wired and wireless systems because of its several advantages like high spectral efficiency, robustness against frequency selective fading, relatively simple receiver implementation etc. Besides having a number of advantages OFDM suffers from few disadvantages like high Peak to Average Power Ratio (PAPR), Intercarrier Interference (ICI), Intersymbol Interference (ISI) etc. These detrimental effects, if not compensated properly and timely, can result in system performance degradation. This paper mainly concentrates on reduction of PAPR.A comparisons have been made between various precoding techniques against conventional OFDM.
Evaluation the Effect of Machining Parameters on MRR of Mild SteelIJSRD
Today’s life is totally based on Internet. Now a days people cannot imagine life without Internet. Information and communication technology plays vital role in today’s online networked society. In today’s life, we are very close to the online social networks. Online social networks are used for posting and sharing information across various social networking sites. But user’s privacy is not maintained by online social networks. For maintaining users sensitive information’s privacy online social networks provides little or no support. For filtering unwanted messages we propose a system using machine learning (ML). Using machine learning in soft classifier content based filtering performed. In proposed system filtering rules (FR’s) are provided for content independent filtering.. Blacklists are used for more flexibility by which filtering choices are increased. Proposed system provides security to the Online Social Networks.
Filter unwanted messages from walls and blocking nonlegitimate user in osnIJSRD
Today’s life is totally based on Internet. Now a days people cannot imagine life without Internet. Information and communication technology plays vital role in today’s online networked society. In today’s life, we are very close to the online social networks. Online social networks are used for posting and sharing information across various social networking sites. But user’s privacy is not maintained by online social networks. For maintaining users sensitive information’s privacy online social networks provides little or no support. For filtering unwanted messages we propose a system using machine learning (ML). Using machine learning in soft classifier content based filtering performed. In proposed system filtering rules (FR’s) are provided for content independent filtering.. Blacklists are used for more flexibility by which filtering choices are increased. Proposed system provides security to the Online Social Networks.
Keystroke Dynamics Authentication with Project Management SystemIJSRD
Generally user authentication is done using username and password that is called as login process. This login process is not more secure because, however a login session is still unprotected to impersonator when the user leaves his computer without logging off. Keystroke dynamics methods can be made useful to verify a user by extracting some typing features then, after the authentication process has successfully ended. From the last decade several studies proposed the use of keystroke dynamics as a behavioral biometric tool to verify users. We propose a new method, for representing the keystroke patterns by joining similar pairs of consecutive keystrokes. The above proposed method is used to consider clustering the di-graphs which are based on their temporal features. In this project, authentication system is provide to project management system that make more Secure management system without acknowledging unauthorized user. The Project Management System addresses the management of software projects. It provides the framework for organizing and managing resources in such a way that these resources deliver all the work required to complete a software project within defined scope, time and cost constraints. The system applies only to the management of software projects and is a tool that facilitates decision making.
Diagnosing lungs cancer Using Neural NetworksIJSRD
Artificial Neural Networks is the new technology. It is the branch of Artificial Intelligence and also it is an accepted new technology. Now a days Neural Networks Plays a Vital role in Medicine, Particularly in some fields such as cardiology, oncology etc. And also it has many applications in many areas like Science and Technology, Education, Business, Business and Manufacturing, etc. Neural Networks is most useful for making the decision more Effective. In this Paper, by the use of Neural Networks how the severe disease Lungs Cancer has been diagnosed more effectively. This Paper discussed about how the Lungs cancer can be identified effectively in earlier stages and diagnosed using Neural Networks and some devices. The Neural Networks has been successfully applied in Carcinogenesis. The main aim of this research is by the use of Neural Networks the Carcinogenesis can be diagnosed more cost-effective, easy to use techniques and methods. This Paper discussed about how the Lungs cancer can be identified effectively in earlier stages and diagnosed using Neural Networks and some devices. Sputum Cytology is used to detect the Lungs Cancer in Early stages.
A Survey on Sentiment Analysis and Opinion MiningIJSRD
In Today’s world, the social media has given web users a place for expressing and sharing their thoughts and opinions on different topics or events. For this purpose, the opinion mining has gained the importance. Sentiment classification and Opinion Mining is the study of people’s opinion, emotions, attitude towards the product, services, etc. Sentiment Analysis and Opinion Mining are the two interchangeable terms. There are various approaches and techniques exist for Sentiment Analysis like Naïve Bayes, Decision Trees, Support Vector Machines, Random Forests, Maximum Entropy, etc. Opinion mining is a useful and beneficial way to scientific surveys, political polls, market research and business intelligence, etc. This paper presents a literature review of various techniques used for opinion mining and sentiment analysis.
A Defect Prediction Model for Software Product based on ANFISIJSRD
Artificial intelligence techniques are day by day getting involvement in all the classification and prediction based process like environmental monitoring, stock exchange conditions, biomedical diagnosis, software engineering etc. However still there are yet to be simplify the challenges of selecting training criteria for design of artificial intelligence models used for prediction of results. This work focus on the defect prediction mechanism development using software metric data of KC1.We have taken subtractive clustering approach for generation of fuzzy inference system (FIS).The FIS rules are generated at different radius of influence of input attribute vectors and the developed rules are further modified by ANFIS technique to obtain the prediction of number of defects in software project using fuzzy logic system.
Experimental Investigation of Granulated Blast Furnace Slag ond Quarry Dust a...IJSRD
In this experimental work ninety nine cubes has been prepared having dimension 70.7x70.7x70.7 mm are cast as per IS:4031 (2000). In this experimental investigation cement mortar mix 1:3 by volume were selected for 0%, 20%, 40%, 60%, 80% and 100% partially replacement of natural sand (NS) by Granulated blast furnace slag (GBFS) and quarry dust (QD) [3 cubes on each parameter respectively] for W/C ratio of 0.55 respectively. All the cubes were tested under compressive testing machine. To compare the average compressive strength of natural sand (NS) with granulated blast furnace slag (GBFS) and quarry dust (QD).
Product Quality Analysis based on online ReviewsIJSRD
Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Study of Clustering of Data Base in Education Sector Using Data MiningIJSRD
Data mining is a technology used in different disciplines to search for significant relationships among variables in n number of data sets. Data mining is frequently used in all types’ areas as well as applications. In this paper the application of data mining is attached with the field of education. The relationship between student’s university entrance examination results and their success was studied using cluster analysis and k-means algorithm techniques.
Fault Tolerance in Big Data Processing Using Heartbeat Messages and Data Repl...IJSRD
Big data is a popular term used to define the exponential evolution and availability of data, includes both structured and unstructured data. The volatile progression of demands on big data processing imposes heavy burden on computation, communication and storage in geographically distributed data centers. Hence it is necessary to minimize the cost of big data processing, which also includes fault tolerance cost. Big Data processing involves two types of faults: node failure and data loss. Both the faults can be recovered using heartbeat messages. Here heartbeat messages acts as an acknowledgement messages between two servers. This paper depicts about the study of node failure and recovery, data replication and heartbeat messages.
Investigation of Effect of Process Parameters on Maximum Temperature during F...IJSRD
In case of friction stir welding, the maximum temperature along the weld line within appropriate range at tool workpiece interface is responsible for quality of welded joint. Through this paper, an attempt is made to establish a relationship between the input process parameters and the maximum temperature along the weld line during friction stir welding of aluminium alloy AA-7075. The design of pre-experimental simulation has been performed in accordance with full factorial technique. The simulation of friction stir welding has been performed by varying input parameters, tool rotational speed and welding speed. The analysis of variance (ANOVA) is used to investigate the effect of input parameters on maximum temperature during friction stir welding. A correlation was established between input parameters and maximum temperature by multiple regression lines. This study indicates that the tool rotational speed is the main input parameter that has high statistical influence on maximum temperature along the weld line during friction stir welding of aluminium alloy AA-7075.
Review Paper on Computer Aided Design & Analysis of Rotor Shaft of a RotavatorIJSRD
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Extracting Targeted Users from SNS using Data Mining Approach
1. IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 544
Extracting Targeted Users from SNS using Data Mining Approach
Ms. Shankari V. Gajul1
Prof. Dr. Raj B. Kulkarni2
1
P.G. Student 2
Associate Professor
1,2
Department of Computer Science & Engineering
1,2
Walchand Institute of Technology, Solapur, India
Abstract— In the recent year‟s development of Internet is
an increasingly important factor in today‟s lifestyle. As
online advertising budgets of marketers are growing every
year, internet advertising has developed in similar way. The
following types of online advertisement: banner
advertisement, pop-up advertisement, web advertising also
called. To deliver promotional marketing messages to
consumers, internet advertising can be used as internet
advertising is a type of marketing. Fast retrieval of the
relevant information from databases has always been a
significant issue. Data clustering is one of the chief
techniques among the numerous techniques developed for
this purpose. Social media is the collaborative tools used for
communication that helps the companies to gain the
potential users and makes them visible who have no
knowledge of their products. Companies can locate target
users by analysing their interests, in particular brand and for
this purpose social media advertising can be used. It will
lead to a systematic approach by developing a technique to
effectively improve the marketing plans. This can be
possible if we are using data mining clustering algorithm to
find out key users to rise up the marketing tactics in internet
advertisement. It describes the general working behaviour,
the methodologies followed by these approaches and the
parameters which affect the performance of these
algorithms. The main objective of this paper is to gather
more core concepts and techniques in the large subset of
cluster analysis.
Key words: Social network advertising, Facebook, Facebook
API, FCM Clustering algo
I. INTRODUCTION
The internet has substituted old media such as the radio,
television and the newspaper to certain extent, and thus has
turned out to be a major source of information consumption.
The main advantages of the Internet include its mass
availability and its almost instant access to current
information. [1] [2]
Internet is most popularly used for purchasing
products and services and for exploring data & information.
In addition, advertisers can rapidly profit for changing
advertising scripts from relatively low costs. This helps
them to segment their market in a better way. As Internet
advertising is growing rapidly, it is imperative to scrutinize
the factors that influence its effectiveness. [3]
Internet is world's most powerful media advertising
for two foremost reasons: First, nearly every home has con
Second, Internet has daily viewers that are larger than the
total of the whole historical audience of traditional media.
The prospect of reaching a target audience influences the
brand, encourages the efficiency of the website‟s sales, and
leads to convey the information to consumers. [4]
In recent years, a transformation in the relationship
between companies and customers has revealed. The
expansion of Web 2.0 and social network as (Facebook,
Twitter, You tube, etc) have had a marvellous impact on the
manner companies conduct marketing. [5],[16] The
customer has obtained more control over and through the
communication regarding the company and its products. The
customers and social networking is the mainstay of any
business. It represents a prospect to develop even closer and
more profitable relationships with customers. So the
company must respond to this change. In fact, companies
can achieve benefits through using social network in their
marketing: they can attain a better understanding of needs of
the customer and can develop better relationships with
customers. Companies ought to sketch their activities in
social networks for better control and measurement. This
will help companies to accomplish the measurable
commercial benefits. The proper behaviour can also alter the
way in how the companies consider their customers.
Companies can track their clients more easily, achieve their
requirements, and manage and evaluate their activities.
These all tasks can be done only when the coordination
between the social networking and marketing is effectively
achieved.
Social media have great impact on and vitally
altering the way we communicate, collaborate, and
consume. They represent one of the most transformative
impacts of information technology on business [6] as they
drastically change how consumers and firms interact.
Consumers spend an increasing amount of their
time online and consequently percentage of the adults using
social media significantly rises. Hence companies spend
increasing amount of their marketing budget towards online
and social media advertising. They also discover new ways
to set up strong connections with their customers into the
online world, and amplify their social connections.
Therefore, nowadays companies are competing gradually
more for consumers' attention and engagement with their
brand in the social media space. Content generation, nurture
of positive online word-of-mouth (WOM), and utilization of
social links among customers are some quintessential
effective means of non-paid advertising for companies to
spread their message in real time and generate leads
associated with key marketing objectives.
The usage of social/online media supports social
interactions and user contributions which subsequently lend
a hand in the online buying and selling of products and
services. Since 2007, many thousands of enterprises opened
pages or business accounts on Facebook, MySpace, Second
Life, LinkedIn, and other social networks, and hundreds of
companies created internal enterprise social networks. They
do it by collecting testimonials, product feedbacks and
reviews, and new product ideas, and by utilizing target
marketing new concepts (e.g., personalized event shopping).
As a result companies can increase their
understanding of the positive and negative dispositions of
customers to brands, products, and shopping experiences.
Companies can use social media to engage people in many
2. Extracting Targeted Users from SNS using Data Mining Approach
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activities which help not only to create interactive win-win
relationship with customers, prospects, suppliers and
employees, but also to improve the internal operations of a
business.
Advertisers view social network services and
especially Facebook and Twitter as a primary source for
generating traffic which is sent from these sites to vendors‟
marketing Web pages.
A. The Internet Is Driving Social Media:
The major facilitator of social media is currently facebook
where millions of fans leveraging acebook‟s business pages
and accounts, some that has over 10 million fans each (e.g.,
Coca-Cola). Social media marketing is growing with the
growth of the Internet. The Internet is now a major
influential medium, (possible the major one) in our society
and according to many marketing gurus (e.g.,yug.com), it is
more powerful than television and print media. Furthermore,
people are spending more and more time on the Internet and
less in other media because the Internet in general and social
networks in particular, now allow you to do almost
everything you want online. Thus, businesses take their
content and messages to where people spend their time.
Social media advertising appeared to be a logical
and cost-effective choice. To capture individuals who were
digitally literate and interested in pursuing distance
education, as an online program recruiting a channel like a
social network site (SNS) would be an attractive way.
Additionally it was speculated that due to their acquaintance
with online interactions, this group would be keen to enquire
about the program and share information through an SNS.
At educational institutions across the country,
social media marketing is attaining position. It gives a
practical opportunity for marketing higher education
offerings. [7]. Targeted social media advertising is a
reasonable selection, as it has the capacity to reach an ever-
growing online market effortlessly compared to traditional
advertising mediums and financial outlay measures as
fractional.
B. Social Networking Sites - Brief Description:
Social networking sites are tools for building virtual
communities, or social networks, for individuals with
similar education, lifestyles, interests, or activities. Burke
(2006) defines social networking sites as a loose attachment
of people who intermingle through websites.
The majority social networking sites also offer
other means of online communications, such as email,
instant messaging, chat, blogs, discussion group, etc.
Dwyer, Hiltz, and Passerini (2007) advise that the
main inspiration for social networking is communication
and sustaining relationships.
Two main social networking sites are
MySpace.com and Facebook.com. According to QuantCast
(2009), MySpace.com is the tenth most visited site with
58M+ unique monthly U.S. visitors, whilst Facebook.com is
the third most visited site with 95M+ unique monthly U.S.
visitors. These sites have become synonymous with social
networking. They have founded solid user bases, and, in
turn, have created apprehensions regarding the user privacy
and protection. Additionally, social networking sites are
escalating themselves in new areas. For example, facebook
is pursuing a strategy to become an operating system for the
Internet (Shafer, 2008).
Facebook is still the number one communication
tool for engaging with students. Facebook is an extremely
good tool to choose to reach parents, alumni, staff, and
others. Some social media tools have built in analytics.
Facebook allows managers of pages to view recent
analytics. These include the number of posts/day, the reach,
number of engaged users, the number talking about the post,
and the virality. By means of Application Programming
Interface, facebook permits the users to create and distribute
different custom-made applications and features. These
features can be business-related ads, promotions, or coupons
.These features can also be non-business applications such
as games, quizzes, meetings, groups, fan clubs, etc.
C. Social Media Marketing Definition:
Fundamental information is necessary for the success of a
business. Popular and successful way to obtain information
is by Social marketing, [9] which products or services can
be of curiosity to customer is determined by marketing
process. Social networks assist in improving the marketing
to realize new insights about the brand. This offers novel
ways to execute the basic marketing programs, and new
methods to succeed in online discussions of important
business. So they can exercise these new opportunities. For
this they require the tools that their companies can supervise
and take part in conversations across the Internet effectively.
The aim is to tie the success of activities in social networks
with marketing programs and processes. [8], [15]
Social networking sites are the supply of infinite
clients and situations. The challenge is to control this
information in a suitable and meaningful manner for the
company. This brings real benefits for the company. For
core activities in marketing on the Internet, Social
networking is a proper framework. Social networks grant the
opportunity to converse with customers on a personal level,
which is generally difficult to achieve or unfeasible through
traditional channels. For traditional marketing, social
networking sites are not a substitute for marketing. It should
be treated as a supplementary path with exclusive
characteristics that can complement other marketing
activities. With this approach, we can increase the
effectiveness of each channel.
D. Social Media Marketing A New Form Of The
Communication:
Traditional media such as television, newspaper, radio and
magazine, are one way, static technologies. For instance, the
magazine publisher is a large organisation that distributed
expensive content to consumer, while advertisers pay for the
privilege of inserting their ads into the content.
For people who typically share a common interest
or activity, social networks can be used as immense devices.
And Social networks also endow with a variety of means to
interact the users with each other. And every person, who
wants to join a social networking site he must create his own
profile. This profile describes his interests, his need and his
wishes. Through the person‟s profile we can know his
friends (other users) who have similar interests by searching
the network, or inviting others to join. These networks offer
a unique opportunity for highly targeted marketing.
3. Extracting Targeted Users from SNS using Data Mining Approach
(IJSRD/Vol. 3/Issue 10/2015/115)
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The use of social network can make a contribution
to the success of the company. The Internet based
applications have the advantage that they are actively
working with the customers and can get feedback directly
from there.
II. LITERATURE REVIEW
Google AdSense is the first major contextual advertising
program which allows website publishers to display relevant
Google ads on their web pages and earn money. It's also a
way for those publishers to provide the Google search
service on their websites and to share the revenue of
displaying Google ads on the search results pages. [17]
Search Advertising Using Web Relevance
Feedback Broder presented an improvement to
advertisement matching in search engine websites. The main
idea of this work is to use web search results as new features
which will be integrated with the search query keywords
which, in turn, will be used in selecting the suitable
advertisements that will be shown alongside the search
results. When a user enters his query, it will be first sent to
the web search engine, and then, the returned top-scoring
pages of the search engine results will be used to gather
additional knowledge about the query. To retrieve relevant
ads, the entire content of the ad is used. This work uses text
classification, made by human editors, in order to identify
commonalities between relevant but different vocabularies,
and builds a document centroid-based classifier that maps an
input fragment of text into a number of relevant query
classes. Furthermore, this approach uses a tool, called
Altavista's Prisma refinement tool, for phrase extraction.
This tool analyzes the fragment of text to identify named
entities and other stable phrases. [10], [14]
The proposed system is focused on following
important factors i.e. identifying the target users by
analyzing their interest, designing of market plan, and
building the categories of their interests. Categories have
been found based on their influence by using clustering
technique. Our study analyses the content of the posts
shared on a facebook brand page. We focus on identification
of the topics, referred to within the posts, categories of the
posts, as an indication of intention for participation and
emotions that people share through the posts.
The paper focuses on the analysis of the user posts
shared on a facebook brand page.
The facebook brand page targets the younger
customers with a social network marketing approach. In this
paper, we examine classification of posts with their
categories and sentiment shared on this brand page.
III. PROBLEM STATEMENT
For the long running business, a social media presence is
crucial. Social Media in marketing assists the companies to
grab the potential users. It furnishes the knowledge of
products of companies to the users and makes the users
noticeable to the companies. Thus Social Media in
marketing has developed as a substantial means of
communication. With the help of Social Media advertising,
companies can find out target end users by analysing their
interests, taste in particular brand or area. It will lead to a
systematic approach by developing a technique to
effectively improve the marketing plans. This can be
possible if we are using data mining clustering algorithm to
find out key users to rise up the marketing tactics in internet
advertisement.
IV. PROPOSED WORK
Social media is a means to find the users. Here we have
proposed an efficient design & a clustering technique to
boost up the internet advertising way towards identifying the
target users. [11], [12], [18], [19]
The steps are involved in applying clustering algorithm to
find the target users: [20], [21]
1) Preprocessing: Includes a set of data is provided to the
system.
2) Data Gathering: Includes Data extraction from
Facebook.
3) Tokenization: Is carried out by selecting the query
from Msg table and eliminate special and non-letter
characters.
4) Cleaning: Is done by removal of stop words.
5) Clustering: Includes Classification of Post Message
and Comment into different categories.
6) Discovering targeted users: Includes finding of
important users.
Facebook is an online Social Networking Service
allows users to create their own profile. Facebook have its
own database. Facebook have API (Application
Programming Interface) which means it is an intermediate
between facebook & programmer. That interface is called as
Graph API. The user who wants to access data of facebook
page which can be possible through Graph API4. [21], [22],
[23]
The dataset consists of posts from the facebook
brand page. The data collection is performed from the
official launch of the facebook page. Posts can be fetched
using a Facebook Graph API4. By the use of a uniform
representation of the objects in the graph, the Graph API
offers admittance to facebook social graph (e.g., people,
pages, etc.) and the connections between them. For proposed
system we have used the feed connection of the page object.
Feed connection represents a list of all Post objects
containing the post details, i.e. the message, post type, likes,
comments, time of creation, etc. The elements extracted
from the facebook Graph API were stored in a relational
database for further investigation.
As extracted information is goes for the filteration
process. Filteration includes tokenization & cleaning
functions. Filteration is based on the lists of stop words &
stemming words, these words are provided in the process of
filtering the contents of messages i.e. post messages. The
filteration process is done on the basis of posts i.e. (Likes,
Shares, and Comments).
By filteration process we can remove stop words &
convert stemmed word into stem word (root word) using
stemming technique. Due to this filteration process we get
the relevant data. On the basis of the relevant data we can
perform the clustering process. This process includes
functions of classification of post message into different
categories. In order to make efficient analysis of posts we
have collected a dataset of posts. Depending on the posts
called as buzzwords data is collected. Efficient information
retrieval can be used to retrieve dataset from posted walls by
4. Extracting Targeted Users from SNS using Data Mining Approach
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users. Depending on the collected dataset clustering process
will categories those into different categories using keyword
based classifier. By using clustering process we can identify
the people who are interested in information related to a
particular category. This process involves extraction of users
who have liked or shared or commented the posts in that
category. Following figure shows the communication
diagram. The communication diagram is shows in fig.1.
Fig. 1: Communication Diagram
The system performs the preprocessing in three main steps:
1) Extraction of post messages that have been commented
on by customers;
2) Identifying likes, comments of each post reviews;
3) Find target user names as a result. These steps are
performed in multiple sub-steps.
Given the input as page URL & No. of posts, the
system first access the post reviews, after that extract the
post messages such as likes, comments of each post, and
extracted data is stored in a database. On the basis of post
messages filteration process performs tokenization &
cleaning function due to which we will get the relevant data.
Clustering process is performing on the basis of the relevant
data. This process includes functions of classification of post
messages into different categories. After this the next
process is to identifying the users who are interested in
information related to a particular category. This process
involves extraction of users who have liked or commented
on the post in the categories.
Following figure shows the system architecture.
The system architecture is shows in fig. 2
Fig. 2: System Architeture
The following points are included in extraction of data:
A. Facebook Developer
Facebook developer it is an Open Source for developers,
researchers. Facebook helps developers, especially those
who are new to programmatic advertising, start building on
the Ads API on the facebook platform. Facebook
Developers have their own Tools. These tools can use to
query, add and remove data. That tool is called „Graph API
Explorer‟. By using this tool user can get the facebook data.
[20]
B. Graph Api Explorer
Facebook's Graph API Explorer is to retrieve data from
Facebook pages. An "API Explorer" is an interface that
helps you craft a request URL. This URL is a like a
command line that tells Facebook to do something on your
behalf. i.e. a GET request to pull data from your Facebook
profile. The Graph API is the core of Facebook Platform,
enabling developers to read from and write data into
Facebook.
[21], [22], [24], [25], [26], [27].
C. Access Tokens
When someone connects with an app using facebook Login,
the app will be able to obtain an access token which
provides temporary, secure access to facebook APIs. An
access token is an opaque string that identifies a user, app,
or page and can be used by the app to make graph API calls.
[26] The fig.3 shows user access token & user ID.
5. Extracting Targeted Users from SNS using Data Mining Approach
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D. Loading Graph Api Explorer
Allowing access to a facebook-owned app called Graph API
Explorer. Graph API Explorer is an app, which is run by FB,
and is stored on the FB servers, not your computer, so you
can access it anywhere you can log into facebook. [26]
E. Setting Up Graph Api Explorer
To successfully fetch posts, consider the followings: , [13],
[25].
Visit: http://www.facebook.com
http://developers.facebook.com/tools/explorer?&version=v1
.0
– If required, allow that app access to your facebook
information
– First log onto facebook & then go for the Tools - Graph
API Explorer of facebook developer
– Find the 'Get Access Token' button and click it
– For getting access token Click On “Get Access Token”
tab.
– In the panel that appears, click & tick all check boxes of
'Select Permissions', „User Data Permission‟, &
„Extended Permissions‟
– This extended permissions you may need for additional
features which allow to comment or like posts, as you
tell it to in the options menu. Without that flag checked,
you'll just get an error from facebook about your token
not having permission to do that. Be sure that
'read_stream' is selected or otherwise not blank
– If you need autolike/autocomment support, also select
'publish_actions' from the 'user data permissions' tab.
Click the 'Get Access Token' button & you will get
“Access Token” in access token tab.
– Now find the box that says 'Access Token' and select its
value Copy that value and paste it into the box on this
prompt.
– This shows the information on the response panel.
– Note: this token does not last forever; you may need to
repeat this process.
F. Restfb
RestFB is a pure Java Facebook Graph API which is sent
data to and from Facebook. RestFB is a single JAR - just
drop it into your app and you're ready to go.
RestFB is a simple and flexible Facebook Graph
API and Old REST API client written in Java. It is open
source software. RestFB is a single JAR - just drop it into
your app and you're ready to go. [13]
Fig. 3: User Access Token & User ID
V. OBJECTIVES & SCOPE
The objective of the system is to find out the key users
through social media.
The Scope of this project is to analyze and predict
user‟s behaviour over a period of time based on his
historical actions and their personal information and to
target advertisements based on this analysis.
It will allow the advertiser to select only those
users who meet certain profitability criteria based on their
individual needs and design marketing tactics for them using
internet advertisement.
Marketers can understand how to reach consumers
through improved behavioural targeting, media buying and
planning.
VI. EXPERIMENTAL ANALYSIS
A. Input :
1) Page Url
Enter the page URL of a particular object for fetch page
data.
A page URL is a string which is used to access facebook
pages; which is existed on the web link.
2) Post (No. Of Posts)
Enter the no. of posts for a page URL of a particular object.
Posts are a simple way to put public posts by a Page or a
person on facebook into the content of your web page. The
post will show any media attached to it, as well as the
number of likes, shares, and comments that the post has.
Posts will let people see the information that on
Facebook.com, and they will enable people to follow or like
content authors or Pages.
B. Equations :
The following equations are used to find out the word
frequency:
1) Occurences
= WC/TC *10000
Where, WC-Word Count
TC- Total no. of words in a message
2) Word Frequency For Posts:
n
f(Wi)Post
i=0
Where, n= Total no. of stemmed words in Posts
f(Wi)=Word Count Frequency
3) Word Frequency For Comments:
m
f(Wi)Comment
i=0
Where, m=Total no. of stemmed words in Comments
f(Wi)=Word Count Frequency
Total words= n+m i.e. TC
Total count= f(Wi) i.e. WC
C. Output
We will get the output as in the form of Buzzwords, Weight
and Usernames as shown in fig.4.
1) Buzzwords- Very popular words which are related to
posts categories.
2) Weight- Word count frequency
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3) Usernames- Names of targeted users which are
separated by „#‟ symbol.
Fig. 4: Fetch Page Data
No. Of posts Buzzwords
No. of
targeted users
3 66 102
6 89 158
8 103 199
12 138 213
15 208 285
20 267 289
22 275 345
25 310 392
28 345 411
32 381 477
Table I. The no. of posts with their counted no. of
buzzwords & no. of users.
Fig. 5: Graph shows the implementation of above table.
From this statistics we can say that as the number of post
increases, the proportion of getting number of buzzwords
and number of targeted users are also gets increased. Hence
we can say that the big historical data for mining give better
results.
VII. CONCLUSION
Now a day, social media has become a new marketing tool,
from the perspective of e- marketing, e-advertisement and
product development. Social media delivers market
intelligence. So that more than 60% of marketers can use
social media to attract users and to learn about what the
current market trends and demands.
The proposed system is to find out the target users by
analysing their interests, needs and taste in particular brand
or area. And produce the categories of their interests by
tracking their activities in social networking site.
VIII. FUTURE WORK
A Page URL is to fetch the page data. Businesses, brands or
other organizations can built their own app & that
businesses use to exploit facebook‟s marketing possibilities
is by creating a “page” for their business which facebook
users can follow.
Businesses can then use their page to market their
products, offer deals, and build their brand. Facebook
developers can use to help their users connect and share
with such users' and increase engagement for their website
or application.
This will helpful for the mobile companies to fetch
the data not only for particular page URL but also all types
of mobile pages because of this we will get accurate or
generalized data.
REFERENCES
[1] Tchai Tavor, “Online Advertising Development and
their Economic Effectiveness”.
[2] P. IndiraPriya, Dr. D.K.Ghosh, “A Survey on Different
Clustering Algorithms in Data Mining Technique”,
2013-14.
[3] WP- Microsoft Advertising Mel Calson, “Social media”,
Feb 2010.
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