LEXER: LEXicon Based Emotion AnalyzeR

Abstract

The huge population of India poses a challenge to government, security and law enforcement. What if we could know beforehand the consequences of any events. Social spaces, such as Twitter, Facebook, and Personal blogs, enable people to show their thoughts regarding public issues and topics. Public emotion regarding future and past events, like public gatherings, governmental policies, shows public beliefs and can be deployed to analyze the measure of support, disorder, or disrupted in such situations. Therefore, emotion analysis of Internet content may be beneficial for various organizations, particularly in government, law enforcement, and security sectors. This paper presents an extension to state-of-art-model for lexicon-based sentiment analysis algorithm for analysis of human emotions.