conference-paper
Open access
Estimating Temporal Dynamics of Human Emotions
Research footprint
At a glance
- Citations
- 3
- References
- 53
- Comments
- 0
Paper overview
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.
Record transparency
Publication details
- DOI
- 10.1609/aaai.v29i1.9190
- OpenAlex
- W852920912
- Document type
- conference-paper
- Language
- EN
- Source
- Proceedings of the AAAI Conference on Artificial Intelligence
- Last metadata update
Comments
Log in to join the discussion.