期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：1
页码：207
DOI：10.15680/IJIRCCE.2017.0501029
出版社：S&S Publications
摘要：Sentiment Analysis is a task of extracting information from people opinions towards different entities.Nowadays in era of internet, every person shares their information in social network sites, blogs, product reviewwebsites, web forums etc. Thus, the thoughts of other people provide opinion about different entities that helps indecision making process to manufacturer. Sentiment analysis is the process in text mining that helps finding theopinions, sentiment and subjectivity of text. This survey paper provides a comprehensive overview of such sentimentanalysis feature selection and classification techniques. The main aim to this survey is to provide existingsentimentanalysis techniques and methods that help in sentiment analysis researchers.
关键词：Sentiment Analysis; Text mining; Feature selection; Classification.
