期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：7
页码：13129
DOI：10.15680/IJIRSET.2016.0507186
出版社：S&S Publications
摘要：In Sentiment Classification refers to the computational techniques for classifying whether the sentimentsof movie review are positive or negative. Statistical Techniques based on Term Frequency and Term Presence, usingSupport Vector Machine used Sentiment Classification. This paper presents approach for classifying a term as positiveor negative established on its frequency in positively labeled documents is compared with negatively labeleddocuments. Our approach is related on term weight methods that are used for information obtain and sentimentclassification. It differs particularly from these standard methods due to our model of logarithmic differential termdistribution for sentiment classification. Terms with approximately equal to distribution in positively labeleddocuments and negatively labeled documents were classified. Our model was estimated by compare with state of artmethods for sentiment classification using the movie review dataset.
关键词：Sentiment Analysis; TFIDF; Term presence and Term Frequency; Support Vector Machine..
