The Manifold of Human Emotions

2013/01/15 by Seungyeon Kim, Fuxin Li, Kim, Seungyeon +5
Computer Science · Engineering · Psychology · #Advanced Text Analysis Techniques #Artificial intelligence #Cognitive psychology #Computation and Language (cs.CL) #Computer science #Emotion and Mood Recognition #Engineering #FOS: Computer and information sciences #Manifold (fluid mechanics) #Psychology #Sentiment Analysis and Opinion Mining #Sentiment analysis #Set (abstract data type) #cs.CL

paper · pdf · doi:10.48550/arxiv.1301.3214

published in arXiv (Cornell University) (Cornell University) · 3 pages, 2 figures

arxiv created 2013/01/15 · openalex publication_date 2013/01/15 · arxiv updated 2013/01/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/08

Abstract

Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper, we consider higher dimensional extensions of the sentiment concept, which represent a richer set of human emotions. Our approach goes beyond previous work in that our model contains a continuous manifold rather than a finite set of human emotions. We investigate the resulting model, compare it to psychological observations, and explore its predictive capabilities.

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