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.
%0 Generic
%1 Kim2012
%A Kim, Seungyeon
%A Li, Fuxin
%A Lebanon, Guy
%A Essa, Irfan
%D 2012
%K analysis emotions sentiment toread
%T Beyond Sentiment: The Manifold of Human Emotions
%U http://arxiv.org/abs/1202.1568
%X 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.
@misc{Kim2012,
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.
},
added-at = {2012-02-12T10:50:22.000+0100},
author = {Kim, Seungyeon and Li, Fuxin and Lebanon, Guy and Essa, Irfan},
biburl = {https://www.bibsonomy.org/bibtex/2d169c08d5241a0912f3d60c97d87e2c0/hotho},
description = {Beyond Sentiment: The Manifold of Human Emotions},
interhash = {78c5eda9e1ef2780d70234dc4942203f},
intrahash = {d169c08d5241a0912f3d60c97d87e2c0},
keywords = {analysis emotions sentiment toread},
note = {cite arxiv:1202.1568Comment: 15 pages, 7 figures},
timestamp = {2012-02-12T10:50:22.000+0100},
title = {Beyond Sentiment: The Manifold of Human Emotions},
url = {http://arxiv.org/abs/1202.1568},
year = 2012
}