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YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context

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7 Author(s)
Wollmer, M. ; Tech. Univ. Munchen, Munich, Germany ; Weninger, F. ; Knaup, T. ; Schuller, B.
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This work focuses on automatically analyzing a speaker's sentiment in online videos containing movie reviews. In addition to textual information, this approach considers adding audio features as typically used in speech-based emotion recognition as well as video features encoding valuable valence information conveyed by the speaker. Experimental results indicate that training on written movie reviews is a promising alternative to exclusively using (spoken) in-domain data for building a system that analyzes spoken movie review videos, and that language-independent audio-visual analysis can compete with linguistic analysis.

Published in:

Intelligent Systems, IEEE  (Volume:28 ,  Issue: 3 )