Laurent Gery, Guinhouya Benjamin, Whatelet Marielle, Lamer Antoine
Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de santé et des Pratiques médicales, 59000, Lille, France.
Univ. Lille, Faculté Ingénierie et Management de la Santé, 59000, Lille, France.
Stud Health Technol Inform. 2020 Nov 23;275:112-116. doi: 10.3233/SHTI200705.
The objective of this study was to test the feasibility of automatically extracting and exploiting data from the YouTube platform, with a focus on the videos produced by the French YouTuber HugoDécrypte during COVID-19 quarantine in France. For this, we used the YouTube API, which allows the automatic collection of data and meta-data of videos. We have identified the main topics addressed in the comments of the videos and assessed their polarity. Our results provide insights on topics trends over the course of the quarantine and highlight users sentiment towards on-going events. The method can be expanded to large video sets to automatically analyse high amount of user-produced data.
本研究的目的是测试从YouTube平台自动提取和利用数据的可行性，重点关注法国YouTuber雨果解密（HugoDécrypte）在法国新冠疫情封锁期间制作的视频。为此，我们使用了YouTube应用程序编程接口（API），它允许自动收集视频的数据和元数据。我们确定了视频评论中涉及的主要主题，并评估了它们的倾向。我们的结果提供了关于封锁期间主题趋势的见解，并突出了用户对正在发生事件的情绪。该方法可以扩展到大型视频集，以自动分析大量用户生成的数据。
