DESIGN, ANALYSIS AND IMPLEMENTATION OF GEOLOCATION BASED EMOTION DETECTION TECHNIQUE OVER TWITTER DATA

Prarthana Kumari, Sudheep Elayidom

Abstract: It has been a topic of utmost importance to researchers that emotions of public has a direct impact on various social science problems such as politics, online business and so on. With emotion analysis, we can bring sensitivity to analytics and stay attuned to the feelings of customers during chat sessions, track social media reactions to a press releases, or gauge the public outlook on financial news. In order to meet these need we create a system for analyzing moods of tweets on any topic trending on twitter.com. We collected 1. 3 × 10^3 emotional tweets, and then these were annotated for emotion, geographic location. Bayes classifier has been used for analysis.

Keywords: Emotion Analysis, Twitter, Geographic Distribution

DOI: https://doi.org/10.15623/ijret.2016.0508037