Presentation 2020-09-09
On modelling viewer sentiment of social media videos for attractive computing
Marc A. Kastner, Shin'ichi Satoh,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) An understanding of human perception and sentiment can help with multimedia tasks like video recommendations. Having a model of attraction of videos would be promising to find other related videos giving the viewer a similar sentiment. On social media platforms, the sentiment of videos can be a crucial factor for the popularity of a video and its similarity to others. In this research, we propose a framework to model the sentiment of social media videos by first analyzing the sentiment of its respective user comments. We decide a sentiment annotation for each video in our base video dataset through text sentiment analysis. From this, we train a model towards the prediction of viewer sentiment by analyzing audio-visual features. A preliminary study can show promising performance in predicting the comment sentiment annotations from audio-visual features.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Attractiveness computing / Video sentiment / Viewer impression / Social media
Paper # MVE2020-14
Date of Issue 2020-09-01 (MVE)

Conference Information
Committee MVE
Conference Date 2020/9/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masayuki Ihara(NTT)
Vice Chair Kiyoshi Kiyokawa(NAIST)
Secretary Kiyoshi Kiyokawa(Oosaka Inst. of Tech.)
Assistant Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT)

Paper Information
Registration To Technical Committee on Media Experience and Virtual Environment
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On modelling viewer sentiment of social media videos for attractive computing
Sub Title (in English)
Keyword(1) Attractiveness computing
Keyword(2) Video sentiment
Keyword(3) Viewer impression
Keyword(4) Social media
1st Author's Name Marc A. Kastner
1st Author's Affiliation National Institute of Informatics(NII)
2nd Author's Name Shin'ichi Satoh
2nd Author's Affiliation National Institute of Informatics(NII)
Date 2020-09-09
Paper # MVE2020-14
Volume (vol) vol.120
Number (no) MVE-160
Page pp.pp.21-26(MVE),
#Pages 6
Date of Issue 2020-09-01 (MVE)