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Sentiment Analysis based Music Ratification


Amit Menon , Atharva College of Engineering; Forum Bhayani, Atharva College of Engineering; Krishnanjali Shinde, Atharva College of Engineering


Sentiment, Music, Analysis, Reviews, Ratings


The aim of this paper is to present an approach to music rating by performing sentiment analysis using supervised learning methods. The recent boost of use of web has resulted in large quantities of user generated data being created every day. People use the web now, to review any product from different sectors like food, electronics. Enterprises too have realized the value of online feedback for future sales. Though sentiment analysis has largely been employed in movie reviews and product recommendation systems, it has largely been kept away for the music portal. The current music charts largely rely on the number of downloads, number of air plays, and physical sales of the songs. This paper though limited to theoretical discussion, aims to create a new ranking system with more emphasis on user opinion, to see if there is a disparity in these two approaches and also reviews the related work done in this field.

Other Details

Paper ID: NCTAAP065
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 274-277

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