IEEE (Sponsored) Future of Information and Communication Conference (FICC-18), Singapore 

SENTIMENT ANALYSIS AND OPINION MINING OF TWITTER DATA FOR MODELING PUBLIC MOOD AND EMOTION ON DEMONETIZATION IN INDIA

On 8th November 2016, Prime Minister Narendra Modi announced the demonetization of all notes of 500 rupees and 1000 rupees denominations in an unscheduled live televised address at 20:00 IST. The surprise nature of the announcement prompted widespread criticism from the opposition parties which caused debates in both houses of parliament. In this modern age where sharing information on social networks such as Twitter has become a part and parcel of the daily life, it motivated us to propose a sentiment analysis and opinion mining to extract public reaction. In this paper, we explain the process of data extraction and preprocessing and summarize the overall public sentiment and analyze the reaction times analytical tools such as word-clouds, time series analysis. Furthermore, a detailed sentiment analysis are also presented to provide a more sophisticated method to model the overall public mood and reactions to social and economic outcomes in order to determine the success or failure of the demonetization policy implemented by the Indian government.