Comments summarization

The abundance of social media platforms and other traditional types of websites allowing their users to communicate via comments as well as the availability and spread of various comment hosting services resulted in a lot of information being generated every day in a form of comments. Comments are g...

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Bibliographic Details
Main Author: Adilkhanov, Bauyrzhan
Other Authors: Sun Aixin
Format: Final Year Project (FYP)
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/59257
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author Adilkhanov, Bauyrzhan
author2 Sun Aixin
author_facet Sun Aixin
Adilkhanov, Bauyrzhan
author_sort Adilkhanov, Bauyrzhan
collection NTU
description The abundance of social media platforms and other traditional types of websites allowing their users to communicate via comments as well as the availability and spread of various comment hosting services resulted in a lot of information being generated every day in a form of comments. Comments are generally short written remarks expressing someone’s opinions or reactions on a particular topic. When considered in large amounts, comments often prove to contain very useful information for both platform users as well as variety of organizations. However, as appealing the data contained in comments might be, it is not very easy to see the overall picture of the topics discussed in the numerous comments of such a typical nowadays news or blog article. Although many websites provide some kind of comments filtering functionality, none of those filters provide a way to get an overview or summary of all discussions occurring in the comments. Therefore, the objective of this project is to solve the aforementioned problem by designing and implementing a software that given an article from a particular website (Yahoo! News in this case) and its associated comments, would generate a summary of these comments taking into account all of the important topics discussed in the article itself as well as in its comments. Through the use of Natural Language Processing and Information Retrieval techniques, the program is implemented in this project that solves the problem mentioned.
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spelling ntu-10356/592572023-03-03T20:51:36Z Comments summarization Adilkhanov, Bauyrzhan Sun Aixin School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing The abundance of social media platforms and other traditional types of websites allowing their users to communicate via comments as well as the availability and spread of various comment hosting services resulted in a lot of information being generated every day in a form of comments. Comments are generally short written remarks expressing someone’s opinions or reactions on a particular topic. When considered in large amounts, comments often prove to contain very useful information for both platform users as well as variety of organizations. However, as appealing the data contained in comments might be, it is not very easy to see the overall picture of the topics discussed in the numerous comments of such a typical nowadays news or blog article. Although many websites provide some kind of comments filtering functionality, none of those filters provide a way to get an overview or summary of all discussions occurring in the comments. Therefore, the objective of this project is to solve the aforementioned problem by designing and implementing a software that given an article from a particular website (Yahoo! News in this case) and its associated comments, would generate a summary of these comments taking into account all of the important topics discussed in the article itself as well as in its comments. Through the use of Natural Language Processing and Information Retrieval techniques, the program is implemented in this project that solves the problem mentioned. Bachelor of Engineering (Computer Science) 2014-04-28T05:20:46Z 2014-04-28T05:20:46Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59257 en Nanyang Technological University 54 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Adilkhanov, Bauyrzhan
Comments summarization
title Comments summarization
title_full Comments summarization
title_fullStr Comments summarization
title_full_unstemmed Comments summarization
title_short Comments summarization
title_sort comments summarization
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
url http://hdl.handle.net/10356/59257
work_keys_str_mv AT adilkhanovbauyrzhan commentssummarization