Prediction and visualization of user emotion from music listening activity using ML

Prediction and visualization of user emotion from music listening activity using ML

Authors

  • Jobin T J ktu
  • Akhil Siby

DOI:

https://doi.org/10.5281/zenodo.6367400

Keywords:

music, mood, emotional states, machine learning, listening activity

Abstract

Music is one medium used by humans to
communicate their emotions. It is extremely powerful and
capable to induce and manipulate human emotions. In this
paper, Music listening data mining and finding other musical
features are significant for identifying a person’s emotional
state. This article focuses on identifying the mood of a user by
analysing the songs he/she listens.

Published

2023-02-23

How to Cite

Jobin T J, & Akhil Siby. (2023). Prediction and visualization of user emotion from music listening activity using ML. National Conference on Emerging Computer Applications, 4(1). https://doi.org/10.5281/zenodo.6367400

Issue

Vol. 4 No. 1 (2022): NCECA 2022 Part I