文章基本信息

标题：Statistical Approach for Sentiment Analysis of Product Reviews
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作者：Nilesh Shelke ; Shriniwas Deshpande ; Vilas Thakare 等
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2016
卷号：5
期号：3
页码：477-482
出版社：IJCSN publisher
摘要：Analyzing Internet statistics, the most popularonline activities are communication via e-mail and searchingfor information on goods and services. For getting the ideaabout buying items customer reads reviews and feedback forevaluation of a product. Sentiment analysis is a NaturalLanguage Processing (NLP) and Computational Linguistics(CL) processing technique that defines extract, identifies,analyzes and characterizes the sentiments or opinions in theform of textual information. Most of the existing work donein this domain is by using machine learning. Statisticalapproach has been proposed for extraction of features, theirintensity and polarity
关键词：Sentiment Features; Sentiment Score; Aspects;LSA.