Topic Modeling in Sentiment Analysis: A Systematic Review
| Autor: | Toqir Ahmad Rana, Yu-N Cheah, Sukumar Letchmunan |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Journal of ICT Research and Applications, Vol 10, Iss 1, Pp 76-93 (2016) |
| Druh dokumentu: | article |
| ISSN: | 2337-5787 2338-5499 |
| DOI: | 10.5614/itbj.ict.res.appl.2016.10.1.6 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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