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A Wide Evaluation of ChatGPT on Affective Computing Tasks
Mostafa M. Amin
, Rui Mao
, Erik Cambria
,
Bjorn W. Schuller
Chair of Health Informatics
University Hospital Augsburg
Technical University of Munich
SyncPilot GmbH
Nanyang Technological University
Munich Center for Machine Learning
Research output
:
Contribution to journal
›
Article
›
peer-review
42
Scopus citations
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Keyphrases
Affective Computing
100%
Computing Task
100%
Chat Generative Pre-trained Transformer (ChatGPT)
100%
Foundation Models
33%
Computing Problems
33%
GPT-4
33%
GPT-3.5
33%
Engagement Measurement
33%
Subjectivity Detection
33%
Emergent Properties
16%
Recurrent Neural Network
16%
Well-being Indicators
16%
Machine Learning Models
16%
Regression-based Method
16%
Sentiment Analysis
16%
Ranking Problem
16%
Pairwise Ranking
16%
Sarcasm Detection
16%
NLP Methods
16%
Emotion Intensity
16%
Personality Assessment
16%
Suicide Tendency
16%
Implicit Signal
16%
Neural Transformer
16%
Aspect Polarity Classification
16%
Rank Classification
16%
Sentiment Intensity
16%
Aspect Extraction
16%
Toxicity Detection
16%
Artificial Intelligence Paradigms
16%
Opinion Extraction
16%
Computer Science
Affective Computing
100%
ChatGPT
100%
Generative Pre-Trained Transformer 4
33%
Foundation Model
33%
Recurrent Neural Network
16%
Sentiment Analysis
16%
Sarcasm Detection
16%
Emergent Property
16%
Polarity Classification
16%
Artificial Intelligence
16%
Machine Learning Model
16%