文章基本信息

标题：Sentiment Analysis: A Survey of Current Research and Techniques
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作者：Jeevanandam Jotheeswaran ; Dr. S. Koteeswaran
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：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305002
出版社：S&S Publications
摘要：Opinions and reviews on products and services are expressed in the Web through blogs, feedback forms;it is essential to develop methods to automatically classify and gauge them to identify the underlying sentiment aboutthe product. Analyzing the polarity of sentiment expressed in data is Opinion Mining (OM). It is a system thatidentifies and classifies opinion/sentiment as represented in electronic text. Economic and marketing researches dependheavily on accurate method to predict sentiments of opinions extracted from internet and predict online customer’spreferences. OM has many steps, and techniques for each step. This study ensures an overall survey about OM relatedto product reviews, and classification algorithms used for sentiment classification.
关键词：Opinion Mining (OM); Sentiment Analysis; Semantics; Machine Learning