Published Paper Details:

Music is believed to be the language of emotions, and listening to music is an activity that is part of everyday living. These emotions are referred to as rasa (aesthetics) in ancient Sanskrit literature. Raga which is an important aspect of Indian Classical Music (ICM) has a close relationship with rasa or aesthetics. Lyrics or words in any language are a medium of expressing an emotion or rasa through it. Indian Classical Music has a rich history that captivates listeners and invokes emotions. The ability of music to elicit emotions has been integral to the aesthetics and reception of India's elite raga-based traditions. This model proposes an automated method to analyze and identify the emotion or the sentiment through the lyrics of a poem or song. This method will assist the music composer in composing melodies with the support of the raga framework to enhance the emotion or rasa of the song. This can also assist the music enthusiast to recognize the emotion of the song/poem by reading the lyrics. With the inherent ambiguity of Indian Classical Music, defining the emotions it evokes becomes far more challenging. Due to the nature of Creative interpretations, a single musical performance can elicit a wide range of emotional responses in the audience. One of the most challenging test cases is the categorization of emotions caused by ICM; yet, with significant advances in deep learning, this music emotion detection task is becoming more relevant and robust. Develop classifiers that use textual properties to automatically determine the presence of one or more emotions.