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http://dx.doi.org/10.3745/KTSDE.2021.10.4.153

Integrated Verbal and Nonverbal Sentiment Analysis System for Evaluating Reliability of Video Contents  

Shin, Hee Won (서울대학교 컴퓨터공학부)
Lee, So Jeong (숙명여자대학교 소프트웨어학부)
Son, Gyu Jin (숙명여자대학교 소프트웨어학부)
Kim, Hye Rin (숙명여자대학교 소프트웨어학부)
Kim, Yoonhee (숙명여자대학교 소프트웨어학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.10, no.4, 2021 , pp. 153-160 More about this Journal
Abstract
With the advent of the "age of video" due to the simplification of video content production and the convenience of broadcasting channel operation, review videos on various products are drawing attention. We proposes RASIA, an integrated reliability analysis system based on verbal and nonverbal sentiment analysis of review videos. RASIA extracts and quantifies each emotional value obtained through language sentiment analysis and facial analysis of the reviewer in the video. Subsequently, we conduct an integrated reliability analysis of standardized verbal and nonverbal sentimental values. RASIA provide an new objective indicator to evaluate the reliability of the review video.
Keywords
Verbal Sentiment Analysis; Nonverbal Sentiment Analysis; Youtube; Natural Language Processing;
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