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：8
页码：1205-1209
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Twitter, the most popular and free microblogging site nowadays which had a great hand in voicingpublic opinion by posting tweets on Twitter on a widerange of topics or domain like drugs, elections, etc. whichis used for sentiment analysis to identify its polarity.Recently implemented Demonetization in India had adrastic change on the Indian economy. People post theiropinions on the Twitter that whether they are in favor ofit or against it. The task of sentiment analysis is used tofind the sentiments of tweets about Demonetization inIndia. There have been four approaches used i.e. Lexiconapproach, Naïve Bayes approach, Naïve bayes withbinary features approach and Extension of Naïve bayesusing lexicons approach to classify the tweets onDemonetization in terms of positive, negative and neutralpolarity. After this, the standard measure of evaluation(Precision, Recall and F-measure) is calculated for allapproaches and the comparison between all theapproaches help us to find the best approach of sentimentanalysis.
