---
title: "Experimental and Cognitive Psychology — papers"
description: "Experimental and Cognitive Psychology: 343 papers of the Elamur Research library · page 1 of 5 · 1–25, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/"
---
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# 💭 Experimental and Cognitive Psychology

343 papers · page 1 of 5 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Experimental and Cognitive Psychology is a subfield of Psychology in the OpenAlex classification of science. The topics most of its papers here are on: «Emotion and Mood Recognition», «Categorization, perception, and language», «Phonetics and Phonology Research».

## Papers

**1** [2](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/page/2/) … [5](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/page/5/) [next →](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/page/2/)

1. [**An Argument for Basic Emotions**Paul Ekman*1992 · 9,900 citations*](https://md.research.elamur.ai/free/en/papers/ekman-1992-argument-basic-emotions/)
2. [**Categorization and Representation of Physics Problems by Experts and Novices**Michelene T. H. Chi, Paul J. Feltovich, Robert Glaser*1981 · 5,250 citations*](https://md.research.elamur.ai/free/en/papers/chi-1981-categorization-representation-physics-problems-experts/)
3. [**Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis**Theresa Wilson, Janyce Wiebe, Paul Hoffmann*2005 · 3,979 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2005-recognizing-contextual-polarity-phrase-level/)
4. [**Lexicon-Based Methods for Sentiment Analysis**Maite Taboada, Julian Brooke, Milan Tofiloski, et al.*2011 · 3,556 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2011-lexicon-based-methods-sentiment-analysis/)
5. [**Using Information Content to Evaluate Semantic Similarity in a Taxonomy**Philip Resnik*1995 · 3,419 citations*](https://md.research.elamur.ai/free/en/papers/resnik-1995-information-content-evaluate-semantic-similarity/)
6. [**Twitter as a Corpus for Sentiment Analysis and Opinion Mining**Alexander Pak, Patrick Paroubek*2010 · 2,905 citations*](https://md.research.elamur.ai/free/en/papers/pak-2010-twitter-as-corpus-sentiment-analysis/)
7. [**SemEval-2014 Task 4: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, John Pavlopoulos, et al.*2014 · 2,405 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2014-semeval-2014-task-4-aspect/)
8. [**Tensor Fusion Network for Multimodal Sentiment Analysis**Amir Zadeh, Minghai Chen, Soujanya Poria, et al.*2017 · 2,107 citations*](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/)
9. [**MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations**Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, et al.*2018 · 1,668 citations*](https://md.research.elamur.ai/free/en/papers/poria-2018-meld-multimodal-multi-party-dataset/)
10. [**SemEval-2016 Task 5: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2016 · 1,656 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/)
11. [**SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation**Felix Hill, Roi Reichart, Anna Korhonen*2015 · 1,622 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/)
12. [**WordNet Affect: an Affective Extension of WordNet**Carlo Strapparava, Alessandro Valitutti*2004 · 1,573 citations*](https://md.research.elamur.ai/free/en/papers/strapparava-2004-wordnet-affect-affective-extension-wordnet/)
13. [**SemEval-2015 Task 12: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2015 · 1,446 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2015-semeval-2015-task-12-aspect/)
14. [**Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions**Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.*2011 · 1,411 citations*](https://md.research.elamur.ai/free/en/papers/socher-2011-semi-supervised-recursive-autoencoders-predicting/)
15. [**ReferItGame: Referring to Objects in Photographs of Natural Scenes**Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, et al.*2014 · 1,276 citations*](https://md.research.elamur.ai/free/en/papers/kazemzadeh-2014-referitgame-referring-objects-photographs-natural/)
16. [**DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset**Yanran Li, Hui Su, Xiaoyu Shen, et al.*2017 · 1,195 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-dailydialog-manually-labelled-multi-turn/)
17. [**SemEval-2017 Task 4: Sentiment Analysis in Twitter**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,159 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/)
18. [**SemEval-2018 Task 1: Affect in Tweets**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,092 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/)
19. [**SemEval-2016 Task 4: Sentiment Analysis in Twitter**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,081 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)
20. [**Context-Dependent Sentiment Analysis in User-Generated Videos**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2017 · 1,019 citations*](https://md.research.elamur.ai/free/en/papers/poria-2017-context-dependent-sentiment-analysis-user/)
21. [**Predicting Pragmatic Reasoning in Language Games**Michael C. Frank, Noah D. Goodman*2012 · 1,007 citations*](https://md.research.elamur.ai/free/en/papers/frank-2012-predicting-pragmatic-reasoning-language-games/)
22. [**Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon**Saif Mohammad, Peter Turney*2010 · 1,005 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2010-emotions-evoked-common-words-phrases/)
23. [**Robust Sentiment Detection on Twitter from Biased and Noisy Data**Luciano Barbosa, Junlan Feng*2010 · 952 citations*](https://md.research.elamur.ai/free/en/papers/barbosa-2010-robust-sentiment-detection-twitter-biased/)
24. [**Dependency-Based Construction of Semantic Space Models**Sebastian Padó, Mirella Lapata*2007 · 906 citations*](https://md.research.elamur.ai/free/en/papers/pado-2007-dependency-based-construction-semantic-space/)
25. [**DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation**Deepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.*2019 · 850 citations*](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/)

**1** [2](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/page/2/) … [5](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/page/5/) [next →](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/page/2/)

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