Title
Sentiment Analysis of Song Lyrics Using Clustering
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Vásquez-Leon M.
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
Music often helps people to relax and have fun times. However, the search for this in a personalized way based on the feelings of the users is not present in the main search engines. The closest thing to this would be the playlists created arbitrarily by other users. For this reason, we propose a method that allows us to label artists representing different feelings according to their lyrics.
Start page
342
End page
350
Volume
233
Language
English
OCDE Knowledge area
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-85111400230
ISBN
9783030756796
Source
Smart Innovation, Systems and Technologies
ISSN of the container
21903018
ISBN of the container
978-303075679-6
Conference
6th Brazilian Technology Symposium, BTSym 2020
Sources of information:
Directorio de Producción Científica
Scopus