{"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/music-data-analysis-a-state-of-the-art-survey","title":"Music Data Analysis: A State-of-the-art Survey","arxiv_id":"1411.5014","date":"2014-11-18","proceeding":null,"authors":["Shubhanshu Gupta"],"abstract":"Music accounts for a significant chunk of interest among various online\nactivities. This is reflected by wide array of alternatives offered in music\nrelated web/mobile apps, information portals, featuring millions of artists,\nsongs and events attracting user activity at similar scale. Availability of\nlarge scale structured and unstructured data has attracted similar level of\nattention by data science community. This paper attempts to offer current\nstate-of-the-art in music related analysis. Various approaches involving\nmachine learning, information theory, social network analysis, semantic web and\nlinked open data are represented in the form of taxonomy along with data\nsources and use cases addressed by the research community.","url_abs":"http://arxiv.org/abs/1411.5014v1","url_pdf":"http://arxiv.org/pdf/1411.5014v1.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":[],"tasks":[{"task_slug":"no-reference-image-quality-assessment","task_name":"No-Reference Image Quality Assessment"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/no-reference-image-quality-assessment-on-200k","task":"No-Reference Image Quality Assessment","dataset":"200k Short Texts for Humor Detection","model":"davido","rank_in_archive_order":1,"of":1,"metrics":{"14 gestures accuracy":"kindness"},"uses_additional_data":true}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}