Summary of Computational Lexical Analysis Of Flamenco Genres, by Pablo Rosillo-rodes et al.
Computational lexical analysis of Flamenco genres
by Pablo Rosillo-Rodes, Maxi San Miguel, David Sanchez
First submitted to arxiv on: 9 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a computational analysis of Flamenco lyrics to identify characteristic patterns in this long-lived music tradition. A Multinomial Naive Bayes classifier is used to categorize over 2000 lyrics into their respective Flamenco genres, termed as palos. The study finds that lexical variation across styles enables accurate identification of distinct palos and reveals semantic fields that characterize each style. A network analysis is performed using an inter-genre distance metric, revealing historical connections and evolutions between palos. The work complements previous qualitative discussions with quantitative analyses, providing new insights into the origin and development of traditional music genres. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses computers to analyze Flamenco lyrics and figure out what makes different types of Flamenco music unique. They looked at over 2000 lyrics and used a special computer program to sort them into different categories. The results show that different styles of Flamenco have distinct words and themes, which helps us understand the history and evolution of this important cultural tradition. |
Keywords
» Artificial intelligence » Naive bayes
