Beyond Sentiment: The Manifold of Human Emotions

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Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan Essa ;
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, PMLR 31:360-369, 2013.

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. Besides obtaining significant improvements over a baseline without manifold, we are also able to visualize different notions of positive sentiment in different domains.

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