Exploiting multi-modal affect and semantics to assess the persuasiveness of a video
Abstract:
Technologies to detect persuasive multimedia content by using affective and semantic concepts extracted from the audio-visual content as well as the sentiment of associated comments are disclosed. The multimedia content is analyzed and compared with a persuasiveness model.
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