Temporal Sentiment Analysis
Temporal Sentiment Analysis is a subfield of sentiment analysis that focuses on detecting and modeling the evolution of sentiments over time within textual data, distinguishing itself by incorporating temporal dynamics to capture how opinions and emotions change across specific time intervals.
187
Publications
11K
Citations
654
Authors
318
Institutions
Publications per year
2017–2026
128
Parents
187
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series
Brendan O’Connor, Ramnath Balasubramanyan, Bryan Routledge et al. · Proceedings of the International AAAI Conference on Web and Social Media · 2010 · 2K citations · Full text
Public Affairs, Political Communication, Political Science +17
Technical analysis and sentiment embeddings for market trend prediction
Andrea Picasso, Simone Merello, Yukun Ma et al. · Expert Systems with Applications · 2019 · 292 citations
1–5 of 187
654
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University of California, Riverside, United States
2 publications · 111 citations
2
h-index
1–5 of 654
318
Harvard University
Cambridge, United States
7 h-index
27 publications
1.1K citations
Hewlett-Packard (United States)
Palo Alto, United States
3 h-index
11 publications
718 citations
Curtin University
Perth, Australia
3 h-index
3 publications
131 citations
L3S Research Center
Hanover, Germany
3 h-index
8 publications
214 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
4 publications
635 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
406 citations

University of Trento
Trento, Italy
3 h-index
4 publications
153 citations

The University of Sydney
Sydney, Australia
3 h-index
3 publications
96 citations
1–8 of 318
Repository · 8 publications · 268 citations
8
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8 publications · 326 citations
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8 publications · 424 citations
8
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6 publications · 2.2K citations
6
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5 publications · 392 citations
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