Topic Modeling in Sentiment Analysis: A Systematic Review

With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media, etc., sentiment analysis has attracted researchers...

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Main Authors: Toqir A., Rana, Cheah, Yu N, Sukumar, Letchmunan
Format: Article
Language:English
Published: ITB Journal Publisher 2016
Subjects:
Online Access:http://eprints.usm.my/37269/
http://eprints.usm.my/37269/1/%28Topic_Modeling_in_Sentiment%29_1442-9685-3-PB.pdf
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author Toqir A., Rana
Cheah, Yu N
Sukumar, Letchmunan
author_facet Toqir A., Rana
Cheah, Yu N
Sukumar, Letchmunan
author_sort Toqir A., Rana
building USM Institutional Repository
collection Online Access
description With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media, etc., sentiment analysis has attracted researchers both in academia and industry, since it deals with the extraction of opinions and sentiments. In this paper, we have presented a review of topic modeling, especially LDA-based techniques, in sentiment analysis. We have presented a detailed analysis of diverse approaches and techniques, and compared the accuracy of different systems among them. The results of different approaches have been summarized, analyzed and presented in a sophisticated fashion. This is the really effort to explore different topic modeling techniques in the capacity of sentiment analysis and imparting a comprehensive comparison among them.
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spelling usm-372692017-10-30T07:39:21Z http://eprints.usm.my/37269/ Topic Modeling in Sentiment Analysis: A Systematic Review Toqir A., Rana Cheah, Yu N Sukumar, Letchmunan QA75.5-76.95 Electronic computers. Computer science With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media, etc., sentiment analysis has attracted researchers both in academia and industry, since it deals with the extraction of opinions and sentiments. In this paper, we have presented a review of topic modeling, especially LDA-based techniques, in sentiment analysis. We have presented a detailed analysis of diverse approaches and techniques, and compared the accuracy of different systems among them. The results of different approaches have been summarized, analyzed and presented in a sophisticated fashion. This is the really effort to explore different topic modeling techniques in the capacity of sentiment analysis and imparting a comprehensive comparison among them. ITB Journal Publisher 2016 Article PeerReviewed application/pdf en http://eprints.usm.my/37269/1/%28Topic_Modeling_in_Sentiment%29_1442-9685-3-PB.pdf Toqir A., Rana and Cheah, Yu N and Sukumar, Letchmunan (2016) Topic Modeling in Sentiment Analysis: A Systematic Review. Journal of ICT Research and Applications, 10 (1). pp. 76-93. ISSN 2337-5787 http://journals.itb.ac.id/index.php/jictra/article/view/1442
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Toqir A., Rana
Cheah, Yu N
Sukumar, Letchmunan
Topic Modeling in Sentiment Analysis: A Systematic Review
title Topic Modeling in Sentiment Analysis: A Systematic Review
title_full Topic Modeling in Sentiment Analysis: A Systematic Review
title_fullStr Topic Modeling in Sentiment Analysis: A Systematic Review
title_full_unstemmed Topic Modeling in Sentiment Analysis: A Systematic Review
title_short Topic Modeling in Sentiment Analysis: A Systematic Review
title_sort topic modeling in sentiment analysis: a systematic review
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/37269/
http://eprints.usm.my/37269/
http://eprints.usm.my/37269/1/%28Topic_Modeling_in_Sentiment%29_1442-9685-3-PB.pdf