The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text

Abstract excerpt

<p>We introduce Target-Event-Agent Networks (TEA Nets) as a computational framework to extract subjects (``Agents"), verbs (``Events"), and objects (``Targets") from texts. Grounded in cognitive network science and artificial intelligence, TEA Nets are implemented as an open-source Python library. We test TEA Nets in three case studies, demonstrating the framework's ability to perform interpretable emotion detecti...

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• Affect
• Brain
• Environment
• Forecasting
• Memory
• Phenotype
• Psychotherapy

Identifiers and source

Literature Corpus work

dc85c1bc-83af-5cd6-89ee-aa1e31427f07

DOI

10.31234/osf.io/dyt6g_v1