文章基本信息

标题：Design and Implementation of Improved Naive Bayes Algorithm for Sentiment Analysis on Movies Review
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作者：Shivangi Sharma
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：285
DOI：10.15680/IJIRCCE.2017.0501042
出版社：S&S Publications
摘要：Social movie review monitoring has been growing day by day so analyzing of social data plays animportant role in knowing customer behavior. So we are analyzing Social data such as forms for movie reviews usingsentiment analysis which checks the attitude of customer for particular movie brand. This has created a good sensibleuse of Sentiment Analysis and there has been a lot of innovation during this area in recent days. Sentiment analysisrefers to a broad range of fields of text mining, natural language processing and computational linguistics. It historicallyemphasizes on classification of text document into positive and negative classes. Sentiment analysis of any textdocument has emerged as the most useful application in the area of sentiment analysis .So our aim is to develop adictionary based on social media keywords and find hidden relationship pattern from these keywords. The Proposedsystem is used to find out adjective and nouns forms of various keywords used in the social media standard dataavailable online. This provides hidden relation between different keywords and a dictionary of the keywords on thebasis of categories of different comments &tweets. In this, the development of sentiwords dictionary is done usingmining algorithm. The dictionary can be further used for classification of words of text documents.
关键词：data mining; Sentiment analysis; subjectivity; objectivity; sentiword.net; Naïve bayes