Standout Papers
- CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON (2012)
- Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon (2010)
- NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews (2014)
- SemEval-2016 Task 6: Detecting Stance in Tweets (2016)
- SemEval-2018 Task 1: Affect in Tweets (2018)
- Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words (2018)
- Using natural language processing to analyse text data in behavioural science (2025)
Immediate Impact
18 from Science/Nature 69 standout
Citing Papers
Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface
2024 Standout
Quantifying the impact of misinformation and vaccine-skeptical content on Facebook
2024 StandoutScience
Works of Saif M. Mohammad being referenced
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON
2012 Standout
Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon
2010 Standout
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Saif M. Mohammad | 3425 | 682 | 591 | 1036 | 65 | 4.6k | |
| Peter D. Turney | 3412 | 389 | 689 | 737 | 38 | 4.6k | |
| Dan Jurafsky | 2571 | 244 | 312 | 733 | 101 | 4.5k | |
| Johan Bollen | 1555 | 333 | 1202 | 1505 | 69 | 6.1k | |
| Panagiotis G. Ipeirotis | 1204 | 554 | 685 | 2115 | 64 | 5.7k | |
| George Paltoglou | 1501 | 230 | 460 | 867 | 84 | 3.1k | |
| Peter Pirolli | 845 | 274 | 755 | 525 | 77 | 3.6k | |
| Rada Mihalcea | 4208 | 269 | 929 | 308 | 180 | 5.2k | |
| Svetlana Kiritchenko | 2411 | 232 | 418 | 466 | 41 | 2.9k | |
| Munmun De Choudhury | 970 | 1672 | 226 | 1159 | 130 | 3.9k | |
| Joseph Weizenbaum | 1998 | 758 | 300 | 580 | 30 | 4.0k |
All Works
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