Natural Language Processing for Music Knowledge Discovery

TitleNatural Language Processing for Music Knowledge Discovery
Publication TypeJournal Article
Year of Publication2018
AuthorsOramas, S., Espinosa-Anke L., Gómez F., & Serra X.
Journal TitleJournal of New Music Research
IssueSpecial issue on Digital Philology for Multimedia Cultural Heritage
Journal Date07/2018
AbstractToday, 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.
preprint/postprint documenthttp://arxiv.org/abs/1807.02200
Final publicationhttps://doi.org/10.1080/09298215.2018.1488878
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