期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：10
页码：3786-3794
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Sentiment analysis is a kind of text classification that classifies texts based on the sentiment orientation of opinions they contain. It is also known as opinion mining refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review. To determine this sentiment polarity. Sentiment Analysis can be used to determine sentiment on a variety of levels. It will score the entire document as positive or negative, and it will also score the sentiment of individual words or phrases in the document. The previews and review of this paper has significant research on the subject of sentiment analysis, expounding its basic terminology, tasks and granularity levels. Sentiment analysis aims to define the attitude of a speaker or a writer regarding some topic or the overall contextual polarity of a document. Among all varieties of social media, Twitter is a valuable resource or main data source for collecting data such as views, reviews etc. for data mining. In this paper we have collected some tweets from social networking sites. So that analysis will be done on those tweets to provide some prediction of business intelligence. Results of trend analysis will be display as tweets with different segments presenting positive, negative and neutral.
关键词：computational linguistics; Data Mining; Natural language processing; analysis; twitter social media.
