@inproceedings{liang-etal-2020-xin,
    title = "新型冠状病毒肺炎相关的推特主题与情感研究(Exploring {COVID}-19-related {T}witter Topic Dynamics across Countries)",
    author = "Liang, Shuailong  and
      Wong, Derek F.  and
      Zhang, Yue",
    editor = "Sun, Maosong  and
      Li, Sujian  and
      Zhang, Yue  and
      Liu, Yang",
    booktitle = "Proceedings of the 19th Chinese National Conference on Computational Linguistics",
    month = oct,
    year = "2020",
    address = "Haikou, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.ccl-1.66/",
    pages = "707--718",
    language = "zho",
    abstract = "我们基于从2020年1月22日至2020年4月30日在推特社交平台上抓取的不同国家和地区发布的50万条推文,研究了有关 2019新型冠状病毒肺炎相关的主题和人们的观点,发现了不同国家之间推特用户的普遍关切和看法之间存在着异同,并且对不同议题的情感态度也有所不同。我们发现大部分推文中包含了强烈的情感,其中表达爱与支持的推文比较普遍。总体来看,人们的情感随着时间的推移逐渐正向增强。"
}