paper/paper.md
In JosiahParry/geniusR: Easily Access Song Lyrics from Genius.com
title: 'genius: analysis-ready song lyric retrieval'
tags:
- R
- music information retrieval
- natural language processing
- tidy text
- tidy data
- lyrics
authors:
- name: Josiah Parry
orcid: 0000-0001-9910-865X
affiliation: 1
affiliations:
- name: Northeastern University, School of Public Policy and Urban Affairs
index: 1
date: 16 December 2019
bibliography: index.bib
Summary
Music is a rather unique phenomenon. One song can be considered a dataset with myriad bits of information which can be represented by musical notation, audio signals, lyrics, among many other forms of representation. The extraction of information from music is referred to as music information retrieval (MIR). MIR has been largely focused on audio signal processing and has not put the same effort into the analysis of music text data [@Mayer2010]. Concomitantly, the field of music psychology has been studying the psychological implications of lyrics [@wellbeing; @violence; @soundtracks; @relaxing]. However, there seems to be no consistent MIR system in place for the acquisiton and analysis of song lyrics [@napier].
genius is an R package that provides a consistent interface for acquiring song lyrics in R. The package was developed with tidy data principles in mind [@tidydata; @tidytext]. As such, the toolkit that genius provides integrates with the tidy text framework. genius functionality returns one-token-per-document-per-row where each token is a line of a song. This adherance to tidy text principles allows users to transition between tidy and alternative text analysis frameworks.
As song lyrics are only one aspect of music, it is often useful to acquire audio features and metadata as well. To this end, genius has been integrated with the spotifyr package [@spotifyr]. This integration, for example, enables researchers to fetch a single artist's discography with audio features and lyrics in a matter of seconds.
By providing a robust and consistent framework for acquiring song lyrics, genius aids researchers by drastically reducing the amount of time and effort spent in collecting, cleaning, and preparing song lyrics for analysis.
References
JosiahParry/geniusR documentation built on Nov. 5, 2021, 11:09 a.m.
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title: 'genius: analysis-ready song lyric retrieval' tags: - R - music information retrieval - natural language processing - tidy text - tidy data - lyrics authors: - name: Josiah Parry orcid: 0000-0001-9910-865X affiliation: 1 affiliations: - name: Northeastern University, School of Public Policy and Urban Affairs index: 1 date: 16 December 2019 bibliography: index.bib
Summary
Music is a rather unique phenomenon. One song can be considered a dataset with myriad bits of information which can be represented by musical notation, audio signals, lyrics, among many other forms of representation. The extraction of information from music is referred to as music information retrieval (MIR). MIR has been largely focused on audio signal processing and has not put the same effort into the analysis of music text data [@Mayer2010]. Concomitantly, the field of music psychology has been studying the psychological implications of lyrics [@wellbeing; @violence; @soundtracks; @relaxing]. However, there seems to be no consistent MIR system in place for the acquisiton and analysis of song lyrics [@napier].
genius is an R package that provides a consistent interface for acquiring song lyrics in R. The package was developed with tidy data principles in mind [@tidydata; @tidytext]. As such, the toolkit that genius provides integrates with the tidy text framework. genius functionality returns one-token-per-document-per-row where each token is a line of a song. This adherance to tidy text principles allows users to transition between tidy and alternative text analysis frameworks.
As song lyrics are only one aspect of music, it is often useful to acquire audio features and metadata as well. To this end, genius has been integrated with the spotifyr package [@spotifyr]. This integration, for example, enables researchers to fetch a single artist's discography with audio features and lyrics in a matter of seconds.
By providing a robust and consistent framework for acquiring song lyrics, genius aids researchers by drastically reducing the amount of time and effort spent in collecting, cleaning, and preparing song lyrics for analysis.
References
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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