A Survey on Emotion Based Sentiment Analysis

Abstract

Sentiment Analysis (SA) is a new and emerging field of research which deals with information extraction and
knowledge discovery from text using Natural Language Processing and Data Mining technique, which help to track the
mood of public about specific products and social or political event. Emotion Detection is one of the most emerging
issues in human machine interaction. Detecting emotional state of a person from textual data is an active research field
along with recognizing emotions from Twitter. We are mainly focusing on recognizing emotions from twitter’s tweets.
Proposed emotion recognize system takes input as a tweets and produces one of the six emotion classes (i.e. happy, sad,
joy, anger, surprise, disgust) as the output. The aim is to get predictive analysis about user’s behavior as well as public
stance and attitude towards various events around the globe.