Artificial Intelligence

    

Lyrics-Based Music Band and Genre Topic Similarity Analysis

Authors: Dimitrios Geromichalos

Based on hundreds of thousands of song lyrics from thousands of bands, Word2Vec models have been trained to quantitatively identify similarities between band texts and terms. Using prominent examples, this demonstrates for the cases studied, that music bands can be assigned to a similarity network solely on the basis of their song lyrics, which also corresponds to their musical style. Furthermore, using exemplary words, it is demonstrated that semantic term networks vary strongly from genre to genre. In addition, the semantic similarity matrices were studied using network analysis methods. As it turned out, term and band text networks differ significantly. While the former resemble random networks, the latter partly exhibit powerlaw behavior. Both also exhibit threshold-dependent regimes.

Comments: 10 Pages. Updated version

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Submission history

[v1] 2022-07-09 02:53:24
[v2] 2022-07-22 00:19:25

Unique-IP document downloads: 764 times

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