Web-based application for sentiment analysis of live tweets

Abstract

Sentiment analysis has gained a lot of importance and popularity during past few years. As an increasing number of people use social media to express their opinions, the ability to perform sentiment analysis in-order to predict opinions and attitudes has also increased. In this paper, we present our web-based application, that allows for visualization of current sentiments associated with a keyword (hashtag, phrase or word) of Twitter messages by plotting them on a map. This allows users to not only measure the sentiment but also map it's intensity in terms of geography. The primary motivation behind building this application is to provide a single automated platform, which serves as a complete end-to-end system for sentiment analysis of Twitter messages along with their visualization.