文章基本信息

标题：SENTIMENT ANALYSIS OF TWITTER DATA FOR DEMONETIZATION IN INDIA ? A TEXT MINING APPROACH
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作者：Kaustav Roy ; Disha Kohli ; Rakeshkumar Kathirvel Senthil Kumar 等
期刊名称：Issues in Information Systems
印刷版ISSN：1529-7314
出版年度：2017
卷号：18
期号：4
页码：9-15
出版社：International Association for Computer Information Systems
摘要：In recent years, a merely boom was witnessed on analysis of opinions from social media because usually it isvery difficult to obtain such a high volume of opinions through any other normal means of collecting opinionsimilar to surveys, polls etc. One such social media where opinions are expressed is Twitter and it plays asignificant influence on any phenomenon. Hence, an accurate method for predicting sentiments could enable usto understand public view, and the impact of the event on social and economic setup can be analyzed. Thesehave the potential to create positive or negative impact on general mindset of the society. The main focus of thispaper is to analyze the sentiments expressed on Demonetization on Twitter so that public opinions and views areextracted, analyzed and used to understand the negative and positive impact of this act on the people of India.
关键词：Twitter; Opinion Mining; Sentimental Analysis; Demonetization; SAS