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Conference Paper: Exploring the Music Library Association Mailing List: A Text Mining Approach

TitleExploring the Music Library Association Mailing List: A Text Mining Approach
Authors
Hu, XChoi, KHao, YCunningham, SJLee, JHLaplante, ABainbridge, DDownie, JS
Issue Date2017
PublisherInternational Society for Music Information Retrieval.
Citation
The 18th International Society for Music Information Retrieval Conference, Suzhou, China, 23-27 October 2017, p. 302-308 How to Cite?
AbstractMusic librarians and people pursuing music librarianship have exchanged emails via the Music Library Association Mailing List (MLA-L) for decades. The list archive is an invaluable resource to discover new insights on music information retrieval from the perspective of the music librarian community. This study analyzes a corpus of 53,648 emails posted on MLA-L from 2000 to 2016 by using text mining and quantitative analysis methods. In addition to descriptive analysis, main topics of discussions and their trends over the years are identified through topic modeling. We also compare messages that stimulated discussions to those that did not. Inspection of semantic topics reveals insights complementary to previous topic analyses of other Music Information Retrieval (MIR) related resources.
Persistent Identifierhttp://hdl.handle.net/10722/243925
ISBN
978-981-11-5179-8

 

DC FieldValueLanguage
dc.contributor.authorHu, X-
dc.contributor.authorChoi, K-
dc.contributor.authorHao, Y-
dc.contributor.authorCunningham, SJ-
dc.contributor.authorLee, JH-
dc.contributor.authorLaplante, A-
dc.contributor.authorBainbridge, D-
dc.contributor.authorDownie, JS-
dc.date.accessioned2017-08-25T03:01:19Z-
dc.date.available2017-08-25T03:01:19Z-
dc.date.issued2017-
dc.identifier.citationThe 18th International Society for Music Information Retrieval Conference, Suzhou, China, 23-27 October 2017, p. 302-308-
dc.identifier.isbn978-981-11-5179-8-
dc.identifier.urihttp://hdl.handle.net/10722/243925-
dc.description.abstractMusic librarians and people pursuing music librarianship have exchanged emails via the Music Library Association Mailing List (MLA-L) for decades. The list archive is an invaluable resource to discover new insights on music information retrieval from the perspective of the music librarian community. This study analyzes a corpus of 53,648 emails posted on MLA-L from 2000 to 2016 by using text mining and quantitative analysis methods. In addition to descriptive analysis, main topics of discussions and their trends over the years are identified through topic modeling. We also compare messages that stimulated discussions to those that did not. Inspection of semantic topics reveals insights complementary to previous topic analyses of other Music Information Retrieval (MIR) related resources.-
dc.languageeng-
dc.publisherInternational Society for Music Information Retrieval.-
dc.relation.ispartofProceedings of the 18th International Society for Music Information Retrieval Conference-
dc.titleExploring the Music Library Association Mailing List: A Text Mining Approach-
dc.typeConference_Paper-
dc.identifier.emailHu, X: xiaoxhu@hku.hk-
dc.identifier.authorityHu, X=rp01711-
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros275073-
dc.identifier.spage302-
dc.identifier.epage308-
dc.publisher.placeSuzhou, China-

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