Thesis linked to the implementation of the María de Maeztu Strategic Research Program.

Open access to PhD thesis carried out at the Department can be found at TDX

Please visit these pages for information on our PhD, MSc and BSc programs.

 

Back Oramas S, Espinosa-Anke L, Gómez F, Serra X. Natural language processing for music knowledge discovery. Journal New Music Research

Oramas S, Espinosa-Anke L, Gómez F, Serra X. Natural language processing for music knowledge discovery. Journal New Music Research

Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generation, and sentiment analysis. Each of these approaches is presented alongside different use cases (i.e. flamenco, Renaissance and popular music) where large collections of documents are processed, and conclusions stemming from data-driven analyses are presented and discussed.

Additional material: