人气
缩略图
计算机科学
情绪分析
构造(python库)
在线视频
内容分析
多媒体
人工智能
心理学
图像(数学)
社会学
社会心理学
社会科学
程序设计语言
作者
Wei‐Lun Chang,Liming Chen,Alexey Verkholantsev
标识
DOI:10.1080/01969722.2019.1646012
摘要
This research deploys sentiment analysis to investigate the influence of comments and construct a video popularity model. We selected eight channels on YouTube to examine the proposed model in terms of 306 videos and 59,103 comments and we collected 200 samples. The results showed high number of views may not result in high positive comments. The influence of own factors of videos such as title of videos, video thumbnail, and content was higher than objective factors such as number of views, like or dislike, and sentiment analysis. Finally, we discovered sentiment indirectly influences the decision of watching behavior.
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