Text Mining Features is a methodological construct in computational linguistics that distinguishes itself by encoding textual attributes into structured representations to facilitate machine learning and data mining tasks.
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2017–2026
609
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Publications
1.3K
Mining and summarizing customer reviews
Minqing Hu, Bing Liu · 2004 · 7.7K citations
A Comparative Study on Feature Selection in Text Categorization
Yiming Yang, Jan Pedersen · 1997 · 4.8K citations
quanteda: An R package for the quantitative analysis of textual data
Kenneth Benoit, Kohei Watanabe, H. P. Wang et al. · The Journal of Open Source Software · 2018 · 1.3K citations · Full text
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Institutions
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Carnegie Mellon University
Pittsburgh, United States
13 h-index
39 publications
2.2K citations
Tsinghua University
Beijing, China
11 h-index
22 publications
1.9K citations
Harbin Institute of Technology
Harbin, China
11 h-index
33 publications
1.5K citations
Columbia University
New York, United States
11 h-index
28 publications
1.8K citations
Beihang University
Beijing, China
10 h-index
42 publications
1.9K citations
The University of Texas at Austin
Austin, United States
10 h-index
25 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
24 publications
1.4K citations
Microsoft (United States)
Redmond, United States
9 h-index
12 publications
3.6K citations
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- Expert Systems with Applications
27 publications · 4K citations
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- IEEE Access
24 publications · 2K citations
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- Information Processing & Management
15 publications · 1.3K citations
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- arXiv (Cornell University)
Repository · 16 publications · 420 citations
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- Procedia Computer Science
11 publications · 315 citations
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