文章基本信息

标题：Twitter Sentiment Analysis Using Adaboost Classification
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作者：Sachin Madhukar Ramteke ; Sachin N. Deshmukh
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：2016
卷号：4
期号：4
页码：6444
DOI：10.15680/IJIRCCE.2016.0404022
出版社：S&S Publications
摘要：In this paper, we study into the benefits of e xpressive features for recognizing the sentiment of Twitter messages i.e. Tweets. We analyse the effectiveness of existing lexical resources and additionally features that take information about the casual and innovative language used in Twitter. In this paper take a supervised classification approach to the problem, but authority obtaining hashtags into Twitter data for establishment training data
关键词：Twitter; Hash Tag; Sentiment Analysis; Features Selection; Adaboost Classification