Text Mining
Text Mining is the computational process of discovering meaningful patterns, relationships, and insights from unstructured text data by leveraging techniques from natural language processing, data mining, and computational linguistics to transform textual information into structured knowledge.
22.3K
Publications
1.4M
Citations
46.1K
Authors
6.5K
Institutions
Publications per year
2017–2026
9.3K
22.3K
Mark Hall, Eibe Frank, Geoffrey Holmes et al. · ACM SIGKDD Explorations Newsletter · 2009 · 17.8K citations
Mining and summarizing customer reviews
Minqing Hu, Bing Liu · 2004 · 7.7K citations
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan · 2002 · 7K citations · Full text
Opinion Mining and Sentiment Analysis
Bo Pang, Lillian Lee · Foundations and Trends® in Information Retrieval · 2008 · 6.2K citations
1–5 of 22.3K
46.1K
48
h-index
40
h-index
University of Illinois Urbana-Champaign, United States
52 publications · 6.2K citations
32
h-index
29
h-index
27
h-index
1–5 of 46.1K
6.5K
University of Illinois Urbana-Champaign
Urbana, United States
68 h-index
601 publications
51K citations
University of Illinois Chicago
Chicago, United States
67 h-index
243 publications
67.4K citations

Chinese Academy of Sciences
Beijing, China
67 h-index
590 publications
61.8K citations
Carnegie Mellon University
Pittsburgh, United States
66 h-index
376 publications
54.8K citations
Tsinghua University
Beijing, China
65 h-index
626 publications
45.9K citations
Stanford University
Stanford, United States
60 h-index
318 publications
92.1K citations

Cornell University
Ithaca, United States
57 h-index
180 publications
79.6K citations
Microsoft (United States)
Redmond, United States
57 h-index
266 publications
29.5K citations
1–8 of 6.5K
294 publications · 25K citations
82
h-index
344 publications · 18K citations
69
h-index
TKDE · 165 publications · 17.1K citations
67
h-index
163 publications · 22.3K citations
61
h-index
253 publications · 12.7K citations
59
h-index
1–5