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Music can evoke various emotions, and with the advancement of technology, ithas become more accessible to people. Bangla music, which portrays differenthuman emotions, lacks sufficient research. The authors of this article aim toanalyze Bangla songs and classify their moods based on the lyrics. To achievethis, this research has compiled a dataset of 4000 Bangla song lyrics, genres,and used Natural Language Processing and the Bert Algorithm to analyze thedata. Among the 4000 songs, 1513 songs are represented for the sad mood, 1362for the romantic mood, 886 for happiness, and the rest 239 are classified asrelaxation. By embedding the lyrics of the songs, the authors have classifiedthe songs into four moods: Happy, Sad, Romantic, and Relaxed. This research iscrucial as it enables a multi-class classification of songs' moods, making themusic more relatable to people's emotions. The article presents the automatedresult of the four moods accurately derived from the song lyrics.

Mood Classification of Bangla Songs Based on Lyrics