BanglaMusicMooD: A Music Mood Classifier from Bangla Music Lyrics

This research work is aimed at using word-level features for mood classification. The goal of this project is to build a classifier model to detect the mood of the song by analyzing the lyrics of Bangla song. We have used the most famous approach “Bagging” (standing for “bootstrap aggregating”) that targets at constructing an ensemble model that is more robust than the individual models composing it. We used this learning to predict the probability of different classes based on various attributes. Our work proposed support vector machine (SVM) ensembles with bagging that outperforms better performance in terms of classification accuracy greatly. We have worked on two types of Bangla moods such as happy and sad, corresponding to the Bangla meaning. At the end of the experiment, our proposed method performed well to classify the mood.