Topic modeling approaches for social media communication during the COVID-19 pandemic

被引:0
作者
Mitera, Hannah [1 ]
机构
[1] Univ Hildesheim, Inst Informat Wissensch & Sprachtechnol, Univ Pl 1, D-31141 Hildesheim, Germany
来源
INFORMATION-WISSENSCHAFT UND PRAXIS | 2022年 / 73卷 / 04期
关键词
Topic Modeling; COVID-19; Social Media; Twitter; Science Communication; Latent Dirichlet Allocation; Language Technology; Sentiment Analysis;
D O I
10.1515/iwp-2022-2225
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During the COVID-19 pandemic, large amounts of data have been generated in social media, for the processing of which automatic methods such as topic modeling become necessary. In various studies, this has already provided fundamental insights into the topics discussed in different geographical regions and at different points in time. Other parameters such as authorship have also taken into account for additional differentiation, or individual sub-areas of corona discourse have been considered separately. Another interesting subfield here is science communication, whose importance for successful pandemic response is often mentioned. Here, too, topic modeling can serve as an approach in the future to examine science communication in the COVID-19 pandemic and its effects in more detail.
引用
收藏
页码:197 / 205
页数:9
相关论文
共 26 条
[1]  
Aguero-Torales M., 2021, DISCOVERING TOPICS T
[2]  
[Anonymous], 1983, NATL CULTURES REVISI
[3]   Latent Dirichlet allocation [J].
Blei, DM ;
Ng, AY ;
Jordan, MI .
JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) :993-1022
[4]  
Chauhan U., 2021, TOPIC MODELING USING
[5]  
Chen X., 2020, DETECTING LATENT TOP
[6]  
Gerhardt V., 2012, Offentlichkeit: Die Politische Form des Bewusstseins
[7]  
Gerts D., 2021, THOUGHT ID SHARE 1 O
[8]  
Gokhale S., 2020, MONITORING PERCEPTIO
[9]   Social media for field epidemiologists (#SoMe4epi): How to use Twitter during the #COVID19 pandemic [J].
Hammer, Charlotte C. ;
Boender, T. Sonia ;
Thomas, Daniel Rh .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 110 :S11-S16
[10]  
Huangfu L., 2022, COVID 19 VACCINE TWE