Location Based Sentiment Analysis of Products or Events over Social Media

Abstract

Nowadays social media has become a very momentous and trendy communication medium amongst all online surfers, users and data scientists because of the recent advancements in it. It constituted the study of information diffusion, user communication and user control over social networks. All types of users share their opinions on various aspects of day to day activities every day. Therefore social media web-sites are rich sources of data for opinion mining. Such data can be efficiently used for sentiment analysis. This research aims to analyze location based social media data to compute the popularity of the products/events. And this is achieved by integrating sentiment analysis, location based data analysis and machine learning approach. An application has been developed which captures the real time communication over social media sites and implements sentiment analysis on collected data. This research work uses publicly available and location enabled social media data. Analysis results are used to optimize the decision making.