Quantitative Sentiment Analysis of Lyrics in Popular Music

@article{Napier2018QuantitativeSA,
  title={Quantitative Sentiment Analysis of Lyrics in Popular Music},
  author={Kathryn Napier and Lior Shamir},
  journal={Journal of Popular Music Studies},
  year={2018}
}
Popular music has been changing significantly over the years, revealing clear, audible differences when compared with songs written in other eras. A pop music composition is normally made of two parts—the tune and the lyrics. Here we use a digital humanities and data science approach to examine how lyrics changed between the 1950’s and the more recent years, and apply quantitative analysis to measure these changes. To identify possible differences, we analyzed the sentiments expressed in the… 

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References

SHOWING 1-10 OF 44 REFERENCES

Genre of Music and Lyrical Content: Expectation Effects.

Examination of whether people's expectations differ regarding how music lyrics affect individual behavior as a function of music genre indicated that lyrics labeled as heavy metal or rap were perceived as less likely to inspire prosocial behavior but not more likely to inspiring antisocial behavior than the same lyrics labeling as country or pop.

Quantitative analysis of a half-century of K-Pop songs: Association rule analysis of lyrics and social network analysis of singers and composers

The authors conducted statistical data analysis to identify patterns in Korean popular songs and composer–singer networks during the past 50 years. With the use of text mining and association rule

Popular music representation: chorus detection & emotion recognition

The proposes approaches have been tested and proven by the professional online music company, KKBOX Inc. and show promising performance for effectively and efficiently identifying the emotions of a variety of popular music.

The Language of Lyrics

The lyrical content of Billboard No. 1 songs for each year from 1955 to 2003 was investigated across changes in U.S. social and economic conditions. Consistent with the environmental security

Booze, Drugs, and Pop Music: Trends in Substance Portrayals in the Billboard Top 100—1968–2008

A substantial increase was found over the decades, and in particular over the last two: in 1988, 12% of songs referred to either or both classes of substance, compared to 30% in 2008.

Unveiling What Is Written in the Stars: Analyzing Explicit, Implicit, and Discourse Patterns of Sentiment in Social Media

This study provides a fine-grained analysis of the implicit and explicit language used by consumers to express sentiment in text and demonstrates the differential impacts of activation levels, implicit sentiment expressions, and discourse patterns on overall consumer sentiment.

Mood Management via the Digital Jukebox

This study took popular music from the Top 30 charts and, in a pretest, evaluated its energy and joyfulness as musical qualities. The findings were used to create sets of musical selections that were

A Feminist Analysis of Popular Music

Abstract A qualitative content analysis was conducted on lyrics to identify predominant themes in popular music. The songs for analysis were determined by “The Hot 100” list generated by Billboard