Towards Emotionally Intelligent Machines: A Comprehensive Mood Classification System

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Presenter: Lucy H Vasserman (Pomona College)

Affective computing, building machines with emotional intelligence, is an important field of research within Artificial Intelligence today. An emotionally intelligent computer must be able to both identify emotions in its user and express emotions itself. Focusing on the former, this system takes a document as input and identifies the mood conveyed in the text as happy, sad, or angry, using Naïve Bayes classification.

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