Tweet Sentiment Analysis
Tweet Sentiment Analysis is a computational task within opinion mining that involves identifying and extracting subjective information in the form of sentiment polarity—positive, negative, or neutral—from individual Twitter posts as its primary textual unit.
3.8K
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266.5K
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10.4K
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2.7K
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Publications per year
2017–2026
2.6K
Parents
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Opinion Mining and Sentiment Analysis
Bo Pang, Lillian Lee · Foundations and Trends® in Information Retrieval · 2008 · 6.2K citations
Twitter mood predicts the stock market
Johan Bollen, Huina Mao, Xiao‐Jun Zeng · Journal of Computational Science · 2011 · 5.1K citations · Full text
Sentiment Analysis and Opinion Mining
Bing Liu · Synthesis lectures on human language technologies · 2012 · 3.3K citations
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
2010 · 2.7K citations · Full text
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Delhi Technological University
New Delhi, India
21 h-index
63 publications
2.8K citations
Universidad Rey Juan Carlos
Madrid, Spain
21 h-index
54 publications
2.6K citations
Nanyang Technological University
Singapore, Singapore
20 h-index
57 publications
3.6K citations
Vellore Institute of Technology University
Vellore, India
20 h-index
55 publications
2.6K citations

Harbin Institute of Technology
Harbin, China
19 h-index
52 publications
14.1K citations

Yeungnam University
Daegu, South Korea
19 h-index
31 publications
1.9K citations
Harvard University
Cambridge, United States
19 h-index
68 publications
3.7K citations

King Abdulaziz University
Jeddah, Saudi Arabia
19 h-index
37 publications
1.7K citations
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Repository · 93 publications · 4.8K citations
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