Analyzing Twitter Sentiment on the Effect of Demonetization, 2016

In recent times, people can easily share their opinions, ideas related to any current event, through social networking site, electronic media etc. Sentiment analysis is the computational treatment of user’s opinions, sentiments and subjectivity of text. In this paper we propose a framework for sentiment analysis using R software which can analyze sentiment of users on Twitter data using Twitter API on the current event demonetization. Our methodology involves collection of data from twitter, it's pre-processing and followed by a lexicon based approach to analyze user’s sentiment on the current situation of demonetization.