Mood Based Classification of Music by Analyzing Lyrical Data Using Text Mining
This research task looks at the part lyric content and additionally audio features can play in enhancing audio music mood arrangement. With the developing measure of computerized music and human different requests to music data recovery, programmed music conclusion investigation is turning into a critical and vital assignment for different framework and applications, for example, music association, melody choice in cell phones, music proposal et cetera. This undertaking is to naturally stamp a melody utilizing emotional marks as a part of an emotion set determined by analysts. In the most recent couple of years, it has pulled in more consideration and extensive varieties of related researches have been completed. The proposed system obtained 85% accuracy from the trained mood mapper, which might lead to a more accurate understanding of the music mood in the mood mapping process.
2016 International Conference on Micro Electronics and Telecommunication Engineering (ICMETE)