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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my.usm.eprints.37269 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 |
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QA75.5-76.95 Electronic computers. Computer science Toqir A., Rana Cheah, Yu N Sukumar, Letchmunan Topic Modeling in Sentiment Analysis: A Systematic Review |
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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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Article |
author |
Toqir A., Rana Cheah, Yu N Sukumar, Letchmunan |
author_facet |
Toqir A., Rana Cheah, Yu N Sukumar, Letchmunan |
author_sort |
Toqir A., Rana |
title |
Topic Modeling in Sentiment Analysis: A Systematic Review |
title_short |
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_sort |
topic modeling in sentiment analysis: a systematic review |
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ITB Journal Publisher |
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2016 |
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http://eprints.usm.my/37269/1/%28Topic_Modeling_in_Sentiment%29_1442-9685-3-PB.pdf http://eprints.usm.my/37269/ http://journals.itb.ac.id/index.php/jictra/article/view/1442 |
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