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  • 标题:Fuzzy Aspects in Sentiment Analysis and Opinion Mining
  • 本地全文:下载
  • 作者:Dr. Ranjana Rajnish
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:5
  • 页码:7750
  • DOI:10.15680/IJIRSET.2016.0505190
  • 出版社:S&S Publications
  • 摘要:“What other people think” has always been an important piece of information for most of us duringthedecision-making process. Dependence on internet based reviews for this decision making has become important inthis era. Long-time back before emergence of Web 2.0 when an individual wanted to buy any product or utilize anyservice, he used to ask or discuss with the friends/relatives about the same & then take decision accordingly. But,nowadays Social media provides Terabytes of information about every product or service. With the growingavailability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunitiesand challenges arise as people now actively use information technologies to seek out and understand the opinions ofothers. Opinion Mining and Sentiment Analysis have thus become more important and significant. Opinions are fuzzyin nature and can be expression between beyond true and false or 0 or 1. Fuzzy sets constitute the oldest and mostreported soft computing paradigm [16]. They are well-suited to modelling different forms of uncertainties andambiguities, often encountered in real life. Integration of fuzzy sets with other soft computing tools has led to thegeneration of more powerful, intelligent and efficient systems.This paper discusses about different levels of opinion mining, sentiment lexicon, issues and challenges in OpinionMining & Sentiment Analysis, concept of Fuzzy logic and how well it suits to the problem of OM & SA.
  • 关键词:Opinion Mining; Sentiment Analysis; Sentiment Lexicon; Fuzzy Logic & Fuzzy Sets
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