新型冠状病毒肺炎相关的推特主题与情感研究(Exploring COVID-19-related Twitter Topic Dynamics across Countries)

Shuailong Liang (梁帅龙), Derek F. Wong (黄辉), Yue Zhang (张岳)


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。
Anthology ID:
2020.ccl-1.66
Volume:
Proceedings of the 19th Chinese National Conference on Computational Linguistics
Month:
October
Year:
2020
Address:
Haikou, China
Editors:
Maosong Sun (孙茂松), Sujian Li (李素建), Yue Zhang (张岳), Yang Liu (刘洋)
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
707–718
Language:
Chinese
URL:
https://aclanthology.org/2020.ccl-1.66
DOI:
Bibkey:
Cite (ACL):
Shuailong Liang, Derek F. Wong, and Yue Zhang. 2020. 新型冠状病毒肺炎相关的推特主题与情感研究(Exploring COVID-19-related Twitter Topic Dynamics across Countries). In Proceedings of the 19th Chinese National Conference on Computational Linguistics, pages 707–718, Haikou, China. Chinese Information Processing Society of China.
Cite (Informal):
新型冠状病毒肺炎相关的推特主题与情感研究(Exploring COVID-19-related Twitter Topic Dynamics across Countries) (Liang et al., CCL 2020)
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PDF:
https://aclanthology.org/2020.ccl-1.66.pdf