{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T19:54:02Z","timestamp":1761162842859,"version":"build-2065373602"},"reference-count":28,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2016,12,27]],"date-time":"2016-12-27T00:00:00Z","timestamp":1482796800000},"content-version":"vor","delay-in-days":361,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["asistdl.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proc. Assoc. Info. Sci. Tech."],"published-print":{"date-parts":[[2016,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    That music seekers consider song subject metadata to be helpful in their searching\/browsing experience has been noted in prior published research. In an effort to develop a subject\u2010based tagging system, we explored the creation of automatically generated song subject classifications. Our classifications were derived from two different sources of song\u2010related text: 1) lyrics; and 2) user interpretations of lyrics collected from\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/songmeanings.com\">songmeanings.com<\/jats:ext-link>\n                    . While both sources contain subject\u2010related information, we found that user\u2010generated interpretations always outperformed lyrics in terms of classification accuracy. This suggests that user interpretations are more useful in the subject classification task than lyrics because the semantically ambiguous poetic nature of lyrics tends to confuse classifiers. An examination of top\u2010ranked terms and confusion matrices supported our contention that users' interpretations work better for detecting the meaning of songs than what is conveyed through lyrics.\n                  <\/jats:p>","DOI":"10.1002\/pra2.2016.14505301041","type":"journal-article","created":{"date-parts":[[2016,12,27]],"date-time":"2016-12-27T06:08:13Z","timestamp":1482818893000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Music subject classification based on lyrics and user interpretations"],"prefix":"10.1002","volume":"53","author":[{"given":"Kahyun","family":"Choi","sequence":"first","affiliation":[{"name":"School of Information Sciences University of Illinois"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin Ha","family":"Lee","sequence":"additional","affiliation":[{"name":"Information School University of Washington"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Hu","sequence":"additional","affiliation":[{"name":"Faculty of Education University of Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. 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