Distinguishing Affective States in Weblog Posts

نویسندگان

  • Michel Généreux
  • Roger Evans
چکیده

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

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تاریخ انتشار 2006