Jian Wang, Siyuan Gong, Kaiming Fu, Minsoo Choi, Lei Lin, Tao Li - 2018
Paper Links: Full-Text
Publications: arXiv Add/Edit
With one billion monthly viewers, and millions of users discussing and sharing opinions, comments below YouTube videos are rich sources of data for opinion mining and sentiment analysis. We introduce the YouTube AV 50K dataset, a freely-available collections of more than 50,000 YouTube comments and metadata below autonomous vehicle (AV)-related videos. We describe its creation process, its content and data format, and discuss its possible usages. Especially, we do a case study of the first self-driving car fatality to evaluate the dataset, and show how we can use this dataset to better understand public attitudes toward self-driving cars and public reactions to the accident. Future developments of the dataset are also discussed.
Languages: Python Add/Edit
A Python Module for YouTube Analysis.