Beyond Sentiment: The Manifold of Human Emotions
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 nite set of human emotions. We investigate the resulting model, compare it to psychological observations, and explore its predictive capabilities. Besides obtaining signicant improvements over a baseline without manifold, we are also able to visualize dierent notions of positive sentiment in dierent domains.
Cite
Text
Kim et al. "Beyond Sentiment: The Manifold of Human Emotions." International Conference on Artificial Intelligence and Statistics, 2013.Markdown
[Kim et al. "Beyond Sentiment: The Manifold of Human Emotions." International Conference on Artificial Intelligence and Statistics, 2013.](https://mlanthology.org/aistats/2013/kim2013aistats-beyond/)BibTeX
@inproceedings{kim2013aistats-beyond,
title = {{Beyond Sentiment: The Manifold of Human Emotions}},
author = {Kim, Seungyeon and Li, Fuxin and Lebanon, Guy and Essa, Irfan A.},
booktitle = {International Conference on Artificial Intelligence and Statistics},
year = {2013},
pages = {360-369},
url = {https://mlanthology.org/aistats/2013/kim2013aistats-beyond/}
}