Abstract: This Paper is review on Sentiment Analysis of Twitter data for examining the behaviour of people. Here, we focus on Twitter which is the most popular micro blogging platform. We collect tweets from the Twitter. These Tweets express emotions, feelings and point of view of people towards any particular type of subject. From the view of decision maker this collection of tweets provides Valuable source of information. Through this information we are able to examine the behaviour of people. This paper represents how we can examine the behaviour of people by performing Text Classification, Data mining, natural Language Processing and Sentiment Analysis.
Keywords: Data Mining, Sentiment Analysis, Text Classification, Natural Language Processing
| DOI: 10.17148/IJARCCE.2019.8108