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DBLP
Conference object . 2023
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Reading Songs: A Computational Analysis of Popular Songs lyrics.

Authors: Corbara, Silvia; Molinari, Alessio;

Reading Songs: A Computational Analysis of Popular Songs lyrics.

Abstract

There is no doubt that certain songs are so easily liked by the public because of their melody. However, certain songs strike us for their lyrics, either because they convey an important (for us) meaning, or for their captivating sound when sung. Since the year 1958, the Billboard magazine held the special section Hot 100, with a rank of the 100 most popular songs of the week. Exploiting this invaluable source regarding the musical taste of the past decades until our days, we perform an analysis over various aspects of popular songs lyrics, especially focusing on the question: what is the importance of lyrics, when classifying musical artists and genres? We find out that, as we expected, many artists are not immediately recognizable only by their lyrics; some of them, however, and especially if they belong to some specific genres (such as rap), stand out, opening to the possibility of further analysis over their styles and themes

Country
Italy
Keywords

Lyrics analysis; popular songs; music

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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