AAAI Publications, Twenty-Ninth AAAI Conference on Artificial Intelligence

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Estimating Temporal Dynamics of Human Emotions
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

Last modified: 2015-02-09

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.

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