A Study on Emotion Identification from Music Lyrics
subject: Affective norms; Emotion analysis; Music emotion models; Music lyrics
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.
creator: Ara A.; Gopalakrishna R.
source: Lecture Notes on Data Engineering and Communications Technologies, Vol-72, pp. 396-406.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 23674512
format: Online
language: English
type: Book chapter
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