Predicting the emotion of playlists using track lyrics

Giammusso, Sara; Guerriero, Mario; Lisena, Pasquale; Palumbo, Enrico; Troncy, Raphaël
ISMIR 2018, 19th International Society for Music Information Retrieval Conference, September 23-27, Paris, France

One interesting approach to playlists generation is using emotional information extracted from songs to try to group them according to a certain mood. The goal of this study is
to unravel the emotion patterns underlying the sequences of songs in a playlist using automatic approaches of Emotion Recognition on the lyrics.

Type:
Poster / Demo
City:
Paris
Date:
2018-09-23
Department:
Data Science
Eurecom Ref:
5703
Copyright:
© 2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PERMALINK : https://www.eurecom.fr/publication/5703