文章基本信息

标题：Lexical Analysis to Effectively Detect User's Opinion
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作者：Anil Kumar K.M ; Suresha
期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2011
卷号：2
期号：4
DOI：10.5121/ijwest.2011.2408
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper we present a lexical approach that will identify opinion of web users popularly expressed using short words or sms words. These words are pretty popular with diverse web users and are used for expressing their opinion on the web. The study of opinion from web arises to know the diverse opinion of web users. The opinion expressed by web users may be on diverse topics such as politics, sports, products, movies etc. These opinions will be very useful to others such as, leaders of political parties, selection committees of various sports, business analysts and other stake holders of products, directors and producers of movies as well as to the other concerned web users. We use semantic based approach to find users opinion from short words or sms words apart of regular opinionated phrases. Our approach efficiently detects opinion from opinionated texts using lexical analysis and is found to be better than the other approaches on different data sets.
关键词：Artificial Intelligence; Sentiment Analysis; Opinion Mining