Sentiments mining and classification of music lyrics using SentiWordNet

The Lyrical part of a song is a rich source of datasets containing words that are helpful in analysis and classification of sentiments generated from it Sentimental analysis is not mere a social analytics but it is a field of study in which whole perception of individuals are automated to find the underlying details of the subject. The goal of this experiment is doing a linguistic analysis of Lyrics to classify them whether the respective songs are suitable for audience or not by classifying them with positive and negative content present in them. In order to perform this, Words containing sentiments have been analyzed and tagged using POS-Tagger. They are finally processed with the Sentiment scores fetched from SentiWordNet.