TY - GEN
T1 - Exploring the music library association mailing list
T2 - 18th International Society for Music Information Retrieval Conference, ISMIR 2017
AU - Hu, Xiao
AU - Choi, Kahyun
AU - Hao, Yun
AU - Cunningham, Sally Jo
AU - Lee, Jin Ha
AU - Laplante, Audrey
AU - Bainbridge, David
AU - Downie, J. Stephen
N1 - Funding Information:
forProposals,CallforApplications,Call CallforPapers,CallforSubmissions,Call letter, support, grant, application, travel, award,
Funding Information:
We thank the anonymous reviewers for their helpful comments. This study is partially supported by a seed research grant funded by the University of Hong Kong, and the Data-Driven Scholarship Autumn Institute jointly sponsored by the iSchool at the University of Illinois and the Faculty of Education at the University of Hong Kong.
Publisher Copyright:
© 2019 Xiao Hu, Kahyun Choi, Yun Hao, Sally Jo Cunningham, Jin Ha Lee, Audrey Laplante, David Bainbridge and J. Stephen Downie.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85062741595
T3 - Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017
SP - 302
EP - 308
BT - Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017
A2 - Cunningham, Sally Jo
A2 - Duan, Zhiyao
A2 - Hu, Xiao
A2 - Turnbull, Douglas
PB - International Society for Music Information Retrieval
Y2 - 23 October 2017 through 27 October 2017
ER -