YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles
YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles
复制标题
DOI：
10.1109/isai-nlp.2018.8692799
复制
发表时间：
2018-07
期刊：
影响因子：
--
通讯作者：
Tao Li;Lei Lin;Minsoo Choi;Kaiming Fu;Siyuan Gong;Jian Wang
中科院分区：
文献类型：
--
作者：
Tao Li;Lei Lin;Minsoo Choi;Kaiming Fu;Siyuan Gong;Jian Wang
YouTube每月有10亿观众，数百万用户讨论和分享意见，YouTube视频下面的评论是意见挖掘和情感分析的丰富数据来源。我们介绍了YouTube AV 50K数据集，这是一个免费提供的集合，包含超过50，000条YouTube评论和自动驾驶汽车（AV）相关视频的元数据。我们描述了它的创建过程，它的内容和数据格式，并讨论其可能的用途。特别是，我们做了第一个自动驾驶汽车死亡的案例研究，以评估数据集，并展示我们如何使用这个数据集，以更好地了解公众对自动驾驶汽车的态度和公众对事故的反应。对数据集的未来发展也进行了讨论。
Ahstract- 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.