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


KIPS Transactions on Software and Data Engineering, Vol. 10, No. 4, pp. 153-160, Apr. 2021
https://doi.org/10.3745/KTSDE.2021.10.4.153,   PDF Download:
Keywords: Verbal Sentiment Analysis, Nonverbal Sentiment Analysis, YouTube, Natural Language Processing
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.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
H. W. Shin, S. J. Lee, G. J. Son, H. R. Kim, Y. Kim, "Integrated Verbal and Nonverbal Sentiment Analysis System for Evaluating Reliability of Video Contents," KIPS Transactions on Software and Data Engineering, vol. 10, no. 4, pp. 153-160, 2021. DOI: https://doi.org/10.3745/KTSDE.2021.10.4.153.

[ACM Style]
Hee Won Shin, So Jeong Lee, Gyu Jin Son, Hye Rin Kim, and Yoonhee Kim. 2021. Integrated Verbal and Nonverbal Sentiment Analysis System for Evaluating Reliability of Video Contents. KIPS Transactions on Software and Data Engineering, 10, 4, (2021), 153-160. DOI: https://doi.org/10.3745/KTSDE.2021.10.4.153.