Music Emotion Prediction based on Hybrid Approach Combining Lyrical and Acoustic Approaches

With the advancements in multimedia technology in recent years, research on music is getting more significant and popular. It is necessary to study the relationship between music lyrics and the emotion of a user. Music based emotion analysis can help with the improvement of an individual’s mood. This can be applied in the form of music recommendation systems, advertisement, etc. In this paper, we propose an emotion based prediction system using music lyrics (using NLP) and its acoustic features. Various moods of a single music are taken into consideration,for this reason, Russel’s space is used to calculate its valence and arousal to define the emotion. The logistic regression is used for prediction and comparative study is done between various classification models for prediction and the best model is taken into consideration, separately for acoustic and lyrics based emotion prediction,Train/Test split is performed to get a 60:40 ratio for the respective approaches and the final emotion is predicted based on the hybrid approach.