Polarity Detection
Polarity Detection is a computational task in natural language processing that identifies the affective orientation of a text, distinguishing between positive, negative, and neutral sentiments as its primary classification objective.
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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
Bo Pang, Lillian Lee · 2004 · 3.3K citations · Full text
Lexicon-Based Methods for Sentiment Analysis
Maite Taboada, Julian Brooke, Milan Tofiloski et al. · Computational Linguistics · 2011 · 3.3K citations · Full text
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Nanyang Technological University
Singapore, Singapore
28 h-index
78 publications
8.7K citations

Chinese Academy of Sciences
Beijing, China
22 h-index
75 publications
5.6K citations
Jordan University of Science and Technology
Irbid, Jordan
19 h-index
58 publications
5K citations
Columbia University
New York, United States
18 h-index
41 publications
14.1K citations
University of Illinois Chicago
Chicago, United States
18 h-index
38 publications
4.9K citations
Tsinghua University
Beijing, China
17 h-index
51 publications
12.2K citations

Indian Institute of Technology Bombay
Mumbai, India
15 h-index
43 publications
2K citations

Harbin Institute of Technology
Harbin, China
14 h-index
50 publications
7.5K citations
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Repository · 49 publications · 3.1K citations
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