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Conference Paper: Exploring the Music Library Association Mailing List: A Text Mining Approach
Title | Exploring the Music Library Association Mailing List: A Text Mining Approach |
---|---|
Authors | |
Issue Date | 2017 |
Publisher | International 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? |
Abstract | Music 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 Identifier | http://hdl.handle.net/10722/243925 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Hu, X | - |
dc.contributor.author | Choi, K | - |
dc.contributor.author | Hao, Y | - |
dc.contributor.author | Cunningham, SJ | - |
dc.contributor.author | Lee, JH | - |
dc.contributor.author | Laplante, A | - |
dc.contributor.author | Bainbridge, D | - |
dc.contributor.author | Downie, JS | - |
dc.date.accessioned | 2017-08-25T03:01:19Z | - |
dc.date.available | 2017-08-25T03:01:19Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | The 18th International Society for Music Information Retrieval Conference, Suzhou, China, 23-27 October 2017, p. 302-308 | - |
dc.identifier.isbn | 978-981-11-5179-8 | - |
dc.identifier.uri | http://hdl.handle.net/10722/243925 | - |
dc.description.abstract | Music 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.language | eng | - |
dc.publisher | International Society for Music Information Retrieval. | - |
dc.relation.ispartof | Proceedings of the 18th International Society for Music Information Retrieval Conference | - |
dc.title | Exploring the Music Library Association Mailing List: A Text Mining Approach | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hu, X: xiaoxhu@hku.hk | - |
dc.identifier.authority | Hu, X=rp01711 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.hkuros | 275073 | - |
dc.identifier.spage | 302 | - |
dc.identifier.epage | 308 | - |
dc.publisher.place | Suzhou, China | - |