Prediction of 2019 Indian Election Using Sentiment Analysis

the aim of this paper is to study and compare people's opinions on Indian Government Schemes to evaluate the reputation of Schemes using sentiment analysis. In this research paper developed on social media twitter datasets of particular schemes and its polarity of sentiments. Popularity of Internet has been rapidly increased. Sentiment analysis and opinion mining is the field of study that analyses people's opinions, sentiments, evaluations and attitudes, from written English language. The proposed research classify recent opinions into different categories based on Twitter datasets, positive polarity of schemes, and Negative polarity of schemes and Neutral Polarity of Schemes. In this research worked on Sentiment Analysis for the purpose of prediction of 2019 Indian election. For that proposed work used sentiment analysis score technique. Sentiment Analysis is the computational evaluations of opinions, feedbacks, discussions, emotions present in the text. From text to find the meaningful sentence polarity is important task. Sentiment analysis over Twitter offers people a fast and effective way to measure the public's feelings towards their party and politicians. Here we have eight major schemes and their last three years twitter datasets from year 2016 to year 2018. All the twitter datasets are created by own during research work. On the basis of that data and its polarity. Found meaningful patterns and we get easy prediction to 2019 Indian Election. We were used this sentiment classifier for finding political sentiment from real time tweets. In the field of politics, where political entities need to understand public opinion and thus determine their campaigning strategy. Sentiment analysis on social media data has been seen by many as an effective tool to monitor user preferences and inclination. For this eight schemes for prediction that are GST, Demonetization, Digital India, Make In India, Startup India, Swacha Bharat, Kashmir, Yoga Day with minimum 1500 tweets are compared. Finally for prediction purpose we focused on Positive and Negative polarity of datasets and this is base for prediction of 2019 Indian election.