The pace of the monitoring of the Social media and the analysis of the social data keeps on rising high and it plays a major role in understanding the behavior of the people. Twitter, being the ninth largest social networking site in the world, is being eminent and powerful with its specialty of the short message named tweets with which people can share their opinions and also trend something worldwide with hash tags and common phrases. The Sentiment Analysis used here is to check the opinion of people related to the Government Schemes by the Central Government in the recent years with the help of Twitter Data Analysis. The tweets of the chosen schemes are classified based on the polarity and finally they are classified as positive or negative or neutral based on the opinions. This work is carried out using Digital India and Make in India tweets. Indians all over the world are sharing their ideas by tweeting and there are billions and billions of tweets tweeted every second across the world. The Sentiment Analysis is performed using R Studio. As the first step, the tweets needed for analysis are extracted with proper authentication with the help of Twitter API. The extracted tweets are cleaned by removing the stop words followed by the emotion and polarity classification. The final step is to generate the word cloud and then the comparison of the positive and the negative and the neutral tweets of the two schemes.

Sentiment Analysis and Opinion Mining, Natural Language Processing, R - Studio

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