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Scene emotion detection using closed caption based on hierarchical attention network

机译:基于分层注意力网络的隐藏字幕场景情感检测

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This paper proposes a method of emotion detection using closed caption. Closed caption is a one of the texts related with video contents, which can be obtained actual dialogue information. Emotion information in video contents has been used in various service such as video recommendation, video retrieval. To detect scene emotion, we apply hierarchical learning structure of closed caption, such as word-sentence-document. In this paper, we introduce scene emotion detection method based on bidirectional LSTM and hierarchical attention network model. In experiments, we show the results of emotion detection using closed caption which from Korean movie.
机译:本文提出了一种使用隐藏式字幕的情绪检测方法。隐藏式字幕是与视频内容有关的文本之一,可以获取实际的对话信息。视频内容中的情感信息已用于各种服务中,例如视频推荐,视频检索。为了检测场景情绪,我们应用了隐藏式字幕的分层学习结构,例如单词句子文档。本文介绍了基于双向LSTM和层次注意力网络模型的场景情感检测方法。在实验中,我们展示了使用韩国电影中的隐藏字幕进行情感检测的结果。

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