Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9751
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dc.contributor.authorDr. ZENG Huiheng, Winnieen_US
dc.contributor.authorJiang, Menghanen_US
dc.contributor.authorChen, Jieyuen_US
dc.contributor.authorHuang, Chu-Renen_US
dc.contributor.authorAhrens, Kathleenen_US
dc.date.accessioned2024-05-03T01:40:23Z-
dc.date.available2024-05-03T01:40:23Z-
dc.date.issued2022-
dc.identifier.citationZeng, H., Jiang, M., Chen, J., Huang, C. R., & Ahrens, K. (2022 Dec 16). Topic modelling and sentiment analysis of government news on Covid-19 in Hong Kong and Mainland China. JWLLP31, Kyung Hee University.en_US
dc.identifier.urihttps://jwllp31.github.io/assets/jwllp31_Zeng%20et%20al.pdf-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/9751-
dc.language.isoenen_US
dc.titleTopic modelling and sentiment analysis of government news on Covid-19 in Hong Kong and Mainland Chinaen_US
dc.typeConference Paperen_US
dc.relation.conference31st Joint Workshop on Linguistics and Language Processingen_US
crisitem.author.deptDepartment of English Language & Literature-
item.fulltextNo Fulltext-
Appears in Collections:English Language & Literature - Publication
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