Topic Modeling in Sentiment Analysis: A Systematic Review

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

Preview

PDF Download (241kB) | Preview

Abstract

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.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Pusat Pengajian Sains Komputer (School of Computer Sciences) > Article
Depositing User:	Mr Noorazilan Noordin
Date Deposited:	30 Oct 2017 07:39
Last Modified:	30 Oct 2017 07:39
URI:	http://eprints.usm.my/id/eprint/37269

Actions (login required)

View Item