Lexicon A Linguistic Approach for Sentiment Classification

Abstract

It is known that social media has become a part and parcel in everyone’s life. Human emotions are constantly being expressed in real time on various social networking sites. The availability of an enormous amount of opinion rich data from various social networking sites has fueled interest in opinion mining and sentiment analysis. There are mainly two approaches for performing sentiment analysis that is a lexicon-based approach and a machine learning based approach. In this paper, we chose to limit our study to just the lexicon-based approach of sentiment analysis. Lexicon based approach relies on the lexicons for classifying input data. Lexicon is a set of words, idioms, phrases, etc. having a semantic meaning. In this paper, prior research done in lexicon-based sentiment analysis has been studied; Also, a review of some state-of-the-art lexicon-based solutions have been presented for polarity classification of Sentiment Analysis. This paper is mainly oriented towards the various lexicons used for polarity classification.