Beyond Sentiment: The Manifold of Human Emotions
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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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2012-02
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