Graduate School and Research Center in Digital Sciences

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.

Document Bibtex

Title:Predicting the emotion of playlists using track lyrics
Type:Poster / Demo
Language:English
City:Paris
Country:FRANCE
Date:
Department:Data Science
Eurecom ref:5703
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Bibtex: @poster / demo{EURECOM+5703, year = {2018}, title = {{P}redicting the emotion of playlists using track lyrics}, author = {{G}iammusso, {S}ara and {G}uerriero, {M}ario and {L}isena, {P}asquale and {P}alumbo, {E}nrico and {T}roncy, {R}apha{\"e}l}, number = {EURECOM+5703}, month = {09}, institution = {Eurecom} address = {{P}aris, {FRANCE}}, url = {http://www.eurecom.fr/publication/5703} }
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