Text mining Mill: Computationally detecting influence in the writings of John Stuart Mill from library records
- DOI
- 10.1093/llc/fqab010
- Published
- 2021-02-27
- Container
- Digital Scholarship in the Humanities
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1093/llc/fqab010,
title = {Text mining Mill: Computationally detecting influence in the writings of John Stuart Mill from library records},
author = {Helen O’neill and Anne Welsh and David A Smith and Glenn Roe and Melissa Terras},
year = {2021},
journal = {Digital Scholarship in the Humanities},
doi = {10.1093/llc/fqab010},
url = {https://doi.org/10.1093/llc/fqab010}
}RIS
TY - JOUR TI - Text mining Mill: Computationally detecting influence in the writings of John Stuart Mill from library records AU - Helen O’neill AU - Anne Welsh AU - David A Smith AU - Glenn Roe AU - Melissa Terras PY - 2021 JO - Digital Scholarship in the Humanities DO - 10.1093/llc/fqab010 UR - https://doi.org/10.1093/llc/fqab010 ER -
APA
O’neill, H., Welsh, A., Smith, D. A., Roe, G., & Terras, M. (2021). Text mining Mill: Computationally detecting influence in the writings of John Stuart Mill from library records. Digital Scholarship in the Humanities. https://doi.org/10.1093/llc/fqab010
Source records
- hal · retrieved 2026-09-26T03:03:35.300Z