META SEARCH ENGINE WITH AN INTELLIGENT INTERFACE FOR INFORMATION RETRIEVAL ON...ijcseit
This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines,
and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the
World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search
provides the user with results for queries on that domain. Meta Search Engines send the user’s search
queries to various search engines and combine the search results. This paper introduces intelligent user
interfaces for selecting domain, category and search engines for the proposed Multi-Domain Meta Search
Engine. An intelligent User Interface is also designed to get the user query and to send it to appropriate
search engines. Few algorithms are designed to combine results from various search engines and also to
display the results.
Microblogging today has gotten an acclaimed specific instrument among Internet clients. Endless clients share assessments on various bits of life dependably. Accordingly, microblogging districts are rich wellsprings of information for assessment mining and tendency assessment. Since microblogging has shown up by and large lately, there several investigation works that were given to this point. In our paper, we base on using Twitter, the most notable microblogging stage, for the task of feeling examination. We advise the most ideal approach to thus accumulate a corpus for assessment and evaluation mining purposes. We play out a semantic assessment of the amassed corpus and clarify found wonders. Utilizing the corpus, we build up an end classifier, that can pick positive, negative, and honest evaluations for an annual. Test assessments show that our proposed strategies are convincing and act in a way that is better than actually proposed procedures. In our appraisal, we worked with English, in any case, the proposed procedure can be utilized with some other language. Krunal Dhardev | Dr. Kamalraj R "Twitter Sentiment Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42385.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/42385/twitter-sentiment-analysis/krunal-dhardev
The purpose of this project is to analyze the book reviews and ratings based on the service provider. The project is primarily based on Data warehouse implementation and BI queries for Analysis for Online Book Reviews collected from Amazon, Goodreads & Bookcrossing and Twitter
META SEARCH ENGINE WITH AN INTELLIGENT INTERFACE FOR INFORMATION RETRIEVAL ON...ijcseit
This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines,
and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the
World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search
provides the user with results for queries on that domain. Meta Search Engines send the user’s search
queries to various search engines and combine the search results. This paper introduces intelligent user
interfaces for selecting domain, category and search engines for the proposed Multi-Domain Meta Search
Engine. An intelligent User Interface is also designed to get the user query and to send it to appropriate
search engines. Few algorithms are designed to combine results from various search engines and also to
display the results.
Microblogging today has gotten an acclaimed specific instrument among Internet clients. Endless clients share assessments on various bits of life dependably. Accordingly, microblogging districts are rich wellsprings of information for assessment mining and tendency assessment. Since microblogging has shown up by and large lately, there several investigation works that were given to this point. In our paper, we base on using Twitter, the most notable microblogging stage, for the task of feeling examination. We advise the most ideal approach to thus accumulate a corpus for assessment and evaluation mining purposes. We play out a semantic assessment of the amassed corpus and clarify found wonders. Utilizing the corpus, we build up an end classifier, that can pick positive, negative, and honest evaluations for an annual. Test assessments show that our proposed strategies are convincing and act in a way that is better than actually proposed procedures. In our appraisal, we worked with English, in any case, the proposed procedure can be utilized with some other language. Krunal Dhardev | Dr. Kamalraj R "Twitter Sentiment Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42385.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/42385/twitter-sentiment-analysis/krunal-dhardev
The purpose of this project is to analyze the book reviews and ratings based on the service provider. The project is primarily based on Data warehouse implementation and BI queries for Analysis for Online Book Reviews collected from Amazon, Goodreads & Bookcrossing and Twitter
Meta documents and query extension to enhance information retrieval processeSAT Journals
Abstract In this paper, we present two facets indispensable for the efficiency of our information retrieval system: meta-documents and query extension. Meta-document represents a structure used to annotate our web documents collection and query extension represents an automatic process aimed to enhance user query expression by additional terms. The two facets are indirectly related since added terms to a given query are taken from an ontology based on meta-documents. The cooperation between meta-documents and query extension aims to have an enhanced information retrieval process. In this paper, we present our proposition particularity and its evaluation results which show its efficiency. Keywords: Information Retrieval, Meta-Document, Annotation, Query, Semantic Extension, OWL Ontology, Semantic Proximity.
Internet users often subscribe to many RSS feeds to stay up to date on the latest news. However, this information is spread out across many sources, which makes it difficult for users to keep track of the most important headlines. Therefore, it is essential to come up with a tool to bring together news from different sources and present the user with a single feed containing the intersection of all other feeds.
An Improved Web Explorer using Explicit Semantic Similarity with ontology and...INFOGAIN PUBLICATION
The Improved Web Explorer aims at extraction and selection of the best possible hyperlinks and retrieving more accurate search results for the entered search query. The hyperlinks that are more preferable to the entered search query are evaluated by taking into account weighted values of frequencies of words in search string that are present in anchor texts and plain texts available in title and body tags of various hyperlink pages respectively to retrieve relevant hyperlinks from all available links. Then the concept of ontology is used to gain insights of words in search string by finding their hypernyms, hyponyms and synsets to reach to the source and context of the words in search string. The Explicit Semantic Similarity analysis along with Naïve Bayes method is used to find the semantic similarity between lexically different terms using Wikipedia and Google as explicit semantic analysis tools and calculating the probabilities of occurrence of words in anchor and body texts .Vector Space Model is being used to calculate Term frequency and Inverse document frequency values, and then calculate cosine similarities between the entered Search query and extracted relevant hyperlinks to get the most appropriate relevance wise ranked search results to the entered search string
https://www.youtube.com/watch?v=nvlHJgRE3pU
Won ITAC Graduation Projects Competition, ITAC ID: GP2015.R10.75
A web application that analyze big volumes of product reviews, social networks posts and tweets related to a given product. Then, present these results of this big data analytical job in a user friendly, understandable, and easily interpreted manner that can be used by different customers for different purposes.
Technologies used:
1- Hadoop
2- Hadoop Streaming
3- R Statistical
4- PHP
5- Google Charts API
Detailed Investigation of Text Classification and Clustering of Twitter Data ...ijtsrd
As of late there has been a growth in data. This paper presents a methodology to investigate the text classification of data gathered from twitter. In this study sentiment analysis has been done on online comment data giving us picture of how to discover the demands of a people. Ziya Fatima | Er. Vandana "Detailed Investigation of Text Classification and Clustering of Twitter Data for Business Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38527.pdf Paper Url: https://www.ijtsrd.com/engineering/computer-engineering/38527/detailed-investigation-of-text-classification-and-clustering-of-twitter-data-for-business-analytics/ziya-fatima
Twitter word frequency count using hadoop components 150331221753pradip patel
Abstract- Analysis of twitter data can be very useful for marketing as well as for promotion strategies. This paper
implements word frequency count for 1.5+ million twitters dataset .The hadoop components such as Apache pig and
MapReduce framework are used for parallel execution of the data. This parallel execution makes the implementation
time-effective and feasible to execute on a single system
Twitter word frequency count using hadoop components 150331221753pradip patel
Analysis of twitter data can be very useful for marketing as well as for promotion strategies. This paper implements word frequency count for 1.5+ million twitters dataset .The hadoop components such as Apache pig and MapReduce framework are used for parallel execution of the data. This parallel execution makes the implementation time-effective and feasible to execute on a single system.
Sentiment analysis and classification of tweets using rapid miner toolValarmathi Srinivasan
In today’s world, Social networking sites like Twitter, Facebook are the great source of communication for internet users.
So it becomes an important source for understanding the opinions, views or emotions of people.
Here, the sentiment analysis is been performed of twitter data for the purpose of classification on the views, people have shared on Twitter, which is one of the most used social networking sites nowadays.
Using RapidMiner tool, various operations have been performed on the twitter data such as, Collecting tweets, analyzing sentiments, categorizing tweets and visualizing the sentiment polarity such as positive, negative and neutral to provide better view and the data will be stored in SQLSERVER Database for future use.
Political Prediction Analysis using text mining and deep learning.pptxDineshGaikwad36
Social media platforms have vast users connected platforms like Twitter has 330 Million,
Facebook has 2.2 Billion, Google+ has 111 Million and LinkedIn has 467 Million which is
enough to create an impression through social media. We have proposed a system to
determine current sentiment on twitter using Twitter API for open access which includes
opinions from different content structures like latest news, audits, articles and social media
posts. And Deep Learning method to study Historic Data for predicting future results.
Previous implementations of prediction analysis on Twitter Data were not successful to fulfill
analysis on live Twitter Data. Thus, we have proposed a system which will predict the result
on live Twitter data and also generate the statistical graph which classify the polarity of
positive and negative tweets. With the help graphs, reports, trends and tweets one can predict
the future results of the political party and also can be used to create the campaigns.
Meta documents and query extension to enhance information retrieval processeSAT Journals
Abstract In this paper, we present two facets indispensable for the efficiency of our information retrieval system: meta-documents and query extension. Meta-document represents a structure used to annotate our web documents collection and query extension represents an automatic process aimed to enhance user query expression by additional terms. The two facets are indirectly related since added terms to a given query are taken from an ontology based on meta-documents. The cooperation between meta-documents and query extension aims to have an enhanced information retrieval process. In this paper, we present our proposition particularity and its evaluation results which show its efficiency. Keywords: Information Retrieval, Meta-Document, Annotation, Query, Semantic Extension, OWL Ontology, Semantic Proximity.
Internet users often subscribe to many RSS feeds to stay up to date on the latest news. However, this information is spread out across many sources, which makes it difficult for users to keep track of the most important headlines. Therefore, it is essential to come up with a tool to bring together news from different sources and present the user with a single feed containing the intersection of all other feeds.
An Improved Web Explorer using Explicit Semantic Similarity with ontology and...INFOGAIN PUBLICATION
The Improved Web Explorer aims at extraction and selection of the best possible hyperlinks and retrieving more accurate search results for the entered search query. The hyperlinks that are more preferable to the entered search query are evaluated by taking into account weighted values of frequencies of words in search string that are present in anchor texts and plain texts available in title and body tags of various hyperlink pages respectively to retrieve relevant hyperlinks from all available links. Then the concept of ontology is used to gain insights of words in search string by finding their hypernyms, hyponyms and synsets to reach to the source and context of the words in search string. The Explicit Semantic Similarity analysis along with Naïve Bayes method is used to find the semantic similarity between lexically different terms using Wikipedia and Google as explicit semantic analysis tools and calculating the probabilities of occurrence of words in anchor and body texts .Vector Space Model is being used to calculate Term frequency and Inverse document frequency values, and then calculate cosine similarities between the entered Search query and extracted relevant hyperlinks to get the most appropriate relevance wise ranked search results to the entered search string
https://www.youtube.com/watch?v=nvlHJgRE3pU
Won ITAC Graduation Projects Competition, ITAC ID: GP2015.R10.75
A web application that analyze big volumes of product reviews, social networks posts and tweets related to a given product. Then, present these results of this big data analytical job in a user friendly, understandable, and easily interpreted manner that can be used by different customers for different purposes.
Technologies used:
1- Hadoop
2- Hadoop Streaming
3- R Statistical
4- PHP
5- Google Charts API
Detailed Investigation of Text Classification and Clustering of Twitter Data ...ijtsrd
As of late there has been a growth in data. This paper presents a methodology to investigate the text classification of data gathered from twitter. In this study sentiment analysis has been done on online comment data giving us picture of how to discover the demands of a people. Ziya Fatima | Er. Vandana "Detailed Investigation of Text Classification and Clustering of Twitter Data for Business Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38527.pdf Paper Url: https://www.ijtsrd.com/engineering/computer-engineering/38527/detailed-investigation-of-text-classification-and-clustering-of-twitter-data-for-business-analytics/ziya-fatima
Twitter word frequency count using hadoop components 150331221753pradip patel
Abstract- Analysis of twitter data can be very useful for marketing as well as for promotion strategies. This paper
implements word frequency count for 1.5+ million twitters dataset .The hadoop components such as Apache pig and
MapReduce framework are used for parallel execution of the data. This parallel execution makes the implementation
time-effective and feasible to execute on a single system
Twitter word frequency count using hadoop components 150331221753pradip patel
Analysis of twitter data can be very useful for marketing as well as for promotion strategies. This paper implements word frequency count for 1.5+ million twitters dataset .The hadoop components such as Apache pig and MapReduce framework are used for parallel execution of the data. This parallel execution makes the implementation time-effective and feasible to execute on a single system.
Sentiment analysis and classification of tweets using rapid miner toolValarmathi Srinivasan
In today’s world, Social networking sites like Twitter, Facebook are the great source of communication for internet users.
So it becomes an important source for understanding the opinions, views or emotions of people.
Here, the sentiment analysis is been performed of twitter data for the purpose of classification on the views, people have shared on Twitter, which is one of the most used social networking sites nowadays.
Using RapidMiner tool, various operations have been performed on the twitter data such as, Collecting tweets, analyzing sentiments, categorizing tweets and visualizing the sentiment polarity such as positive, negative and neutral to provide better view and the data will be stored in SQLSERVER Database for future use.
Political Prediction Analysis using text mining and deep learning.pptxDineshGaikwad36
Social media platforms have vast users connected platforms like Twitter has 330 Million,
Facebook has 2.2 Billion, Google+ has 111 Million and LinkedIn has 467 Million which is
enough to create an impression through social media. We have proposed a system to
determine current sentiment on twitter using Twitter API for open access which includes
opinions from different content structures like latest news, audits, articles and social media
posts. And Deep Learning method to study Historic Data for predicting future results.
Previous implementations of prediction analysis on Twitter Data were not successful to fulfill
analysis on live Twitter Data. Thus, we have proposed a system which will predict the result
on live Twitter data and also generate the statistical graph which classify the polarity of
positive and negative tweets. With the help graphs, reports, trends and tweets one can predict
the future results of the political party and also can be used to create the campaigns.
Show various use cases and scenarios for Hadoop (tooling) on the cloud and modern data architectures.
•New insights into Analytics and Visualization, to impact the business bottom line.
•Tooling and insights provided by non-traditional approaches to data
•Example a 360 view of the customer,
•Sentiment analysis with social media such as Twitter, traffic patterns, etc.
Political prediction analysis using text mining and deep learningVishwambhar Deshpande
We have proposed a system to determine current sentiment on twitter using Twit-
ter API for open access which includes opinions from dierent content structures like
latest news, audits, articles and social media posts. and Deep Learning method to
study Historic Data for predicting future results. we utilized Naive Bayes and dictio-
nary based algorithms to predict the sentiment on Live Twitter Data.
Word cloud formation for a particular #hashtag and sentiment analysis on the particular #hashtag using hadoop, Hive and R.
Collection of the data was done by an Application Programming Interface(API) provided by Twitter.
FLOWER VOICE: VIRTUAL ASSISTANT FOR OPEN DATAIJwest
Open Data is now collecting attention for innovative service creation, mainly in the area of
government, bioscience, and smart X project. However, to promote its application more for consumer
services, a search engine for Open Data to know what kind of data are there would be of help. This paper
presents a voice assistant which uses Open Data as its knowledge source. It is featured by improvement of
accuracy according to the user feedbacks, and acquisition of unregistered data by the user participation.
We also show an application to support for a field-work and confirm its effectiveness.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.