Historical Text Mining
Historical Text Mining is a computational method within cultural analytics that systematically extracts, analyzes, and interprets textual patterns from historical documents to uncover contextual, semantic, or epistemic shifts over time.
77
Publications
3.2K
Citations
217
Authors
95
Institutions
Publications per year
2017–2026
27
Parents
77
Syntactic Annotations for the Google Books NGram Corpus
Yuri Lin, Jean-Baptiste Michel, Erez Aiden Lieberman et al. · 2012 · 376 citations
Alexander Koplenig · Digital Scholarship in the Humanities · 2015 · 107 citations
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95

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
8 publications
146 citations

Uppsala University
Uppsala, Sweden
4 h-index
6 publications
224 citations

Kyoto University
Kyoto, Japan
4 h-index
7 publications
228 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
9 publications
197 citations

The University of Queensland
Brisbane, Australia
2 h-index
6 publications
738 citations
Google (United States)
Mountain View, United States
2 h-index
11 publications
2.6K citations
Harvard University
Cambridge, United States
2 h-index
4 publications
140 citations

University of Manchester
Manchester, United Kingdom
2 h-index
15 publications
696 citations
1–8 of 95
DSH · 4 publications · 252 citations
4
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2 publications · 206 citations
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2 publications · 56 citations
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2 publications · 132 citations
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Repository · 1 publications · 32 citations
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