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Distinguishing affective states in weblogs

By M. Genereux and Roger Evans


This short paper reports on initial experiments on the use of binary classifiers to distinguish affective states in weblog posts. Using a corpus of English weblog posts, annotated for mood by their authors, we trained support vector machine binary classifiers, and show that a typology of affective states proposed by Scherer’s et al is a good starting point for more refined analysis

Topics: Q100 Linguistics, G700 Artificial Intelligence
Publisher: The AAAI Press
Year: 2006
OAI identifier:

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