{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/natural-language-processing-for-music","title":"Natural Language Processing for Music Knowledge Discovery","arxiv_id":"1807.02200","date":"2018-07-06","proceeding":null,"authors":["Sergio Oramas","Luis Espinosa-Anke","Francisco Gómez","Xavier Serra"],"abstract":"Today, a massive amount of musical knowledge is stored in written form, with\ntestimonies dated as far back as several centuries ago. In this work, we\npresent different Natural Language Processing (NLP) approaches to harness the\npotential of these text collections for automatic music knowledge discovery,\ncovering different phases in a prototypical NLP pipeline, namely corpus\ncompilation, text-mining, information extraction, knowledge graph generation\nand sentiment analysis. Each of these approaches is presented alongside\ndifferent use cases (i.e., flamenco, Renaissance and popular music) where large\ncollections of documents are processed, and conclusions stemming from\ndata-driven analyses are presented and discussed.","url_abs":"http://arxiv.org/abs/1807.02200v1","url_pdf":"http://arxiv.org/pdf/1807.02200v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"natural-language-processing-for-music","repo_url":"https://github.com/xzhangfox/ANALYSE-AND-CLASSIFY-MUSIC-BY-LYRICS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"graph-generation","task_name":"Graph Generation"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}