Opinion Mining
Opinion Mining is a subfield of natural language processing that systematically identifies and extracts subjective information, such as sentiments, attitudes, and emotions, from textual data within social media and other discourse environments.
14.1K
Publications
944.6K
Citations
31.4K
Authors
5K
Institutions
Publications per year
2017–2026
9K
14.1K
Mining and summarizing customer reviews
Minqing Hu, Bing Liu · 2004 · 7.7K citations
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan · 2002 · 7K citations · Full text
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher, Alex Perelygin, Jean Y. Wu et al. · 2013 · 6.8K 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 14.1K
31.4K
69
h-index
50
h-index
36
h-index
35
h-index
34
h-index
1–5 of 31.4K
5K
Nanyang Technological University
Singapore, Singapore
75 h-index
371 publications
48.8K citations
University of Illinois Chicago
Chicago, United States
66 h-index
239 publications
72.6K citations
Tsinghua University
Beijing, China
61 h-index
476 publications
46.8K citations

Chinese Academy of Sciences
Beijing, China
56 h-index
462 publications
27.4K citations

Harbin Institute of Technology
Harbin, China
53 h-index
434 publications
42.7K citations
National University of Singapore
Singapore, Singapore
48 h-index
159 publications
15K citations

Cornell University
Ithaca, United States
48 h-index
150 publications
64.3K citations

Peking University
Beijing, China
46 h-index
261 publications
20.8K citations
1–8 of 5K
210 publications · 21.3K citations
78
h-index
347 publications · 21.5K citations
76
h-index
160 publications · 14.8K citations
66
h-index
128 publications · 10.7K citations
61
h-index
Repository · 385 publications · 17.7K citations
60
h-index
1–5