Tone Classification for Political Advertising Video using Multimodal Cues

概要

Politics has always gotten much attention throughout history, and video advertisement has become one of the most essential tools for political communication. Analysis of such political advertising videos can provide more insight into the political campaign by evaluating the message in it, such as a candidate’s attitude toward a certain political issue. In this paper, we propose to classify the tone in political advertising videos into promotive, contrastive, and their mixture using a deep neural network to benefit automatic analysis of such videos. We especially explore how different modalities of videos, i.e., visuals, audio, and text, contribute to improving the classification accuracy.

論文種別
発表文献
Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval
中島悠太
中島悠太
准教授

コンピュータビジョン・パターン認識などの研究。ディープニューラルネットワークなどを用いた画像・映像の認識・理解を主に、自然言語処理を援用した応用研究などに従事。