POLITICAL ANALYSIS OF PAWAN KALYAN USING DATA ANALYTICS

             Political parties making use of Digital Platforms to interact with people and party workers, posting campaigning photos on Instagram and videos on YouTube, debating on Twitter and Facebook were strong indicators of the impact of the OSM(open street map) on the General Elections 2019. With hardly any political leader or party not having his account on the micro blogging site Twitter and the surge in the political conversations on Twitter, inspired us to take the opportunity to study and analyze this huge ocean of elections data. Our count of tweets related to pawan kalyan from October 1 ,2017 to January 8 ,2018 with the help of Twitter API.

We analyzed the complete dataset to and interesting patterns in it and also to verify if the trivial things were also evident in the data collected. We found that the activity on Twitter peaked during important events related to pawan kalyan. It was evident from our data that the political behavior of the pawan kalyan affected their followers count and thus popularity on Twitter. Yet another aim of our work was to find an efficient way to classify the political orientation of the users on Twitter. To accomplish this task, i used four different techniques: two were based on the content of the tweets made by the user, one on the user based features and another one based on community detection algorithm on the retweet and user mention networks. We found that the community detection algorithm worked best with an efficiency of more than 80%. It was also seen that the content based methods did not fare well in the classification results. With an aim to monitor the daily incoming data, we built a portal to show the analysis of the tweets of the last 24 hours. This portal analyzed the tweets to and the most trending topics, hashtags, the kind of sentiments received by the users, location of the tweets and also monitored the popularity of various celebrities and political leaders and their parties accounts on Twitter. To the best of our knowledge, this is the first academic pursuit to analyze the elections data and classify the users in the India General Elections 2019.

                                 DOWNLOAD THE COMPLETE REPORT HERE