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        <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 Twitter Topic Dynamics across Countries)</title>
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        <namePart type="given">Shuailong</namePart>
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            <title>Proceedings of the 19th Chinese National Conference on Computational Linguistics</title>
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            <namePart type="given">Maosong</namePart>
            <namePart type="family">Sun</namePart>
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    <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。</abstract>
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%0 Conference Proceedings
%T 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)
%A Liang, Shuailong
%A Wong, Derek F.
%A Zhang, Yue
%Y Sun, Maosong
%Y Li, Sujian
%Y Zhang, Yue
%Y Liu, Yang
%S Proceedings of the 19th Chinese National Conference on Computational Linguistics
%D 2020
%8 October
%I Chinese Information Processing Society of China
%C Haikou, China
%G Chinese
%F liang-etal-2020-xin
%X 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。
%U https://aclanthology.org/2020.ccl-1.66
%P 707-718

Markdown (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)](https://aclanthology.org/2020.ccl-1.66) (Liang et al., CCL 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) (Liang et al., CCL 2020)

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.