文章基本信息

标题：Literature Survey on Design and Implementation of Processing Model for Polarity Identification on Textual Data of English Language
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作者：Aparna Trivedi ; Ingita Singh ; Apurva Srivastava 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：6
出版社：IJCSI Press
摘要：This literature work is a survey about Sentiment Analysis of textual data of English language and some of its previous works. Basically sentiment analysis identifies the view point or opinion of a text. For example, classifying a movie review as "Thumbs up" or "Thumbs down". Several public opinion surveys from multiple polling organization and peoples aggregate opinion on a topic can be assessed. This survey includes previous works which show how this technique has evolved over the past one and a half decade expanding its horizon and reaching out to almost all areas such as reviews of products, movies etc., travel advice, stock market predictions and in other decision making areas.
关键词：Opinion Mining; Sentiment Analysis; Polarity Identification.