Narrowing the Social Gap among People Involved in Global Dialog: Automatic Emotion Detection in Blog Posts

Alena Neviarouskaya, Helmut Prendinger and Mitsuru Ishizuka

In this paper, we introduce a new approach to automatic emotion detection in blog posts. The purpose of our research is to develop an effective tool for recognition and interpretation of affect conveyed through written language. The main idea behind the proposed rule-based algorithm is to determine the prevailing emotion in each sentence of diary-like entry and to display the dynamics of emotion changes throughout the whole document by using simplified emotional faces.

Poster

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