Estimating Temporal Dynamics of Human Emotions
Abstract
Sentiment analysis predicts a one-dimensional quantity describing the positive or negative emotion of an author. Mood analysis extends the one-dimensional sentiment response to a multi-dimensional quantity, describing a diverse set of human emotions. In this paper, we extend sentiment and mood analysis temporally and model emotions as a function of time based on temporal streams of blog posts authored by a specific author. The model is useful for constructing predictive models and discovering scientific models of human emotions.
Cite
Text
Kim et al. "Estimating Temporal Dynamics of Human Emotions." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9190Markdown
[Kim et al. "Estimating Temporal Dynamics of Human Emotions." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/kim2015aaai-estimating/) doi:10.1609/AAAI.V29I1.9190BibTeX
@inproceedings{kim2015aaai-estimating,
title = {{Estimating Temporal Dynamics of Human Emotions}},
author = {Kim, Seungyeon and Lee, Joonseok and Lebanon, Guy and Park, Haesun},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2015},
pages = {168-174},
doi = {10.1609/AAAI.V29I1.9190},
url = {https://mlanthology.org/aaai/2015/kim2015aaai-estimating/}
}