A Study on Emotion Identification from Music Lyrics

Title

A Study on Emotion Identification from Music Lyrics

Creator

Ara A.; Gopalakrishna R.

Description

The widespread availability of digital music on the internet has led to the development of intelligent tools for browsing and searching for music databases. Music emotion recognition (MER) is gaining significant attention nowadays in the scientific community. Emotion Analysis in music lyrics is analyzing a piece of text and determining the meaning or thought behind the songs. The focus of the paper is on Emotion Recognition from music lyrics through text processing. The fundamental concepts in emotion analysis from music lyrics (text) are described. An overview of emotion models, music features, and data sets used in different studies is given. The features of ANEW, a widely used corpus in emotion analysis, are highlighted and related to the music emotion analysis. A comprehensive review of some of the prominent work in emotion analysis from music lyrics is also included. 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Source

Lecture Notes on Data Engineering and Communications Technologies, Vol-72, pp. 396-406.

Date

2021-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Affective norms; Emotion analysis; Music emotion models; Music lyrics

Coverage

Ara A., Department of Computer Science and Engineering, Christ (Deemed To Be University), Bengaluru, India; Gopalakrishna R., Department of Data Science, Christ (Deemed to be University), Lavasa Campus, Pune, India

Rights

Restricted Access

Relation

ISSN: 23674512

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-3-030-70713-2_37

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105509388&doi=10.1007%2f978-3-030-70713-2_37&partnerID=40&md5=115085cfee1d8ebbd83760527f51a53b