期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：5
页码：586-588
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Social networking sites, micro-blogging sites like twitter have millions of people share their thoughts daily in the form of tweets. As tweet is characteristic short and simple manner of expression. So the sentiment analysis of Twitter is discussed in this review paper. The Sentiment Analysis perceive as domain of text mining, natural language processing. The study of sentiment analysis can be performed in various aspects. This paper demonstrates sentiment analysis types and techniques used to perform extraction of sentiment from tweets.
关键词：Opinion Mining; Sentiment Analysis; Text Mining; Twitter
