典型文献
Research on emotional space for movie and TV drama videos
文献摘要：
Emotional space refers to a multi-dimensional emotional model that describes a group of subjective feelings or emotions.Since the existing discrete emotional space is mainly aimed at human's primary emotions,it cannot describe the complex emotions evoked when watching movies.In order to solve this problem,an emotional fusion space for videos was constructed by selecting movies and TV dramas with rich emotional semantics as the research objects.Firstly,emotional words based on movie and TV drama videos are acquired and analyzed by using subjective evaluation and semantic analysis methods.Then,the emotional word vectors obtained from the above analysis are fused,reduced dimension by t-distributed stochastic neighbor embedding(t-SNE)algorithm,and clustered by bisecting K-means clustering algorithm to get a discrete emotional space for movie and TV drama videos.This emotional fusion space can obtain different categories by changing the value of the emotion classification number without re-labeling and calculation.
文献关键词：
中图分类号：
作者姓名：
Li Yujie;Zhang Jingjing;Jiang Wei;Wang Chunxiao
作者机构：
Key Laboratory of Acoustic Visual Technology and Intelligent Control System,Communication University of China,Beijing 100024,China;Beijing Key Laboratory of Modern Entertainment Technology,Communication University of China,Beijing 100024,China;School of Information and Communication Engineering,Communication University of China,Beijing 100024,China;School of Computer and Cyber Sciences,Communication University of China,Beijing 100024,China
文献出处：
引用格式：
[1]Li Yujie;Zhang Jingjing;Jiang Wei;Wang Chunxiao-.Research on emotional space for movie and TV drama videos)[J].中国邮电高校学报（英文版）,2022(05):73-82
A类：
dramas
B类：
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AB值：
0.524695
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