A DEMOGRAPHY BASED ANALYSIS OF USERS' SENTIMENTS ON TWITTER DATA

Abstract

In recent times the popularity of social media has gone up greatly. Due to the great number of people using these platforms and going vocal with their thoughts these can be used to determine public opinion. In this report, we are extracting this opinion of people by analyzing the tweets collected from twitter on major events like T20 World Cup, Paris Attack, Oscar, Olympics, Formula 1 championship etc. Here we have used demographic analysis. We first analyze the opinion of users and then calculate the sentiments of users on different events. In this way, we determine how users' opinion and their positive and negative sentiments differ demographically. With the help of Sentiment Analysis techniques we analyze the demographic behavior of users. It consists of three major modules: a data collection and preprocessing module, apply Opinion Mining, apply Lexicon based Approach for Sentiment analysis. We have performed this analysis on millions of twitter users residing in different locations and have demonstrated the findings using bar charts and pie charts.