Twitter Based Outcome Predictions of 2019 Indian General Elections Using Decision Tree
Ferdin Joe John Joseph · 2019
Social Media is a huge corpus of raw data available to process and analyze the mood of the people. Various institutions and corporations use social media data to understand market response of their products. Twitter data is widely available one for this purpose. Similar to market analysis, this data is used to map political mood of the general public. Most of the existing methodologies use tweets downloaded on a particular criterion. There is very limited study done on daily mood mapping of political views among people. This paper addresses a methodology to predict the outcome of the 2019 Indian general elections using the sentiment analysis of twitter data. Decision tree classifier is used to train and test data and the predicted outcome is found to be close to that of the actual outcome and most of the pre poll analysis done so far. The experiments reported in this paper are only on tweets in English language and having the most number of retweets by the users. This methodology is efficient enough to map the mood of people over a timely basis across various phases of polls.