• Corpus ID: 36321519

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

@inproceedings{Hu2017ExploringTM,
  title={Exploring the Music Library Association Mailing List: A Text Mining Approach},
  author={Xiao Hu and Kahyun Choi and Yun Hao and Sally Jo Cunningham and Jin Ha Lee and Audrey Laplante and David Bainbridge and J. S. Downie},
  booktitle={ISMIR},
  year={2017}
}
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… 

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