ArticleBehavior research methods2025
EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.
Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Reducing social biases in text-based emotion prediction using semantic blinding and semantic propagation graph neural networks.Scientific reports · 2026Article
- Random Forest Predicts Human Ratings of Creative Stories Using Very Small Training Samples.Behavioral sciences (Basel, Switzerland) · 2026Article
- Quantifying feature importance for online content moderation.EPJ data science · 2026Article
- Dataset of natural conversations about appearance using fNIRS.Scientific data · 2025Article
- Enhanced activation in the dorsolateral prefrontal cortex and inferior parietal lobule during recovery from body dissatisfaction.Social cognitive and affective neuroscience · 2025Article
- Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists.Wiley interdisciplinary reviews. Cognitive scienceReview
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Authors and funding
7 authors.
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Abstract
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically validated lexicons for detecting the eight emotions in Plutchik's theory. We show that EmoAtlas can match or surpass transformer-based natural language processing techniques, BERT or large language models like ChatGPT 3.5 or LLaMAntino, in detecting emotions from Italian and English online posts and news articles (e.g., achieving 85.6
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