Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9751
Title: Topic modelling and sentiment analysis of government news on Covid-19 in Hong Kong and Mainland China
Authors: Dr. ZENG Huiheng, Winnie 
Jiang, Menghan 
Chen, Jieyu 
Huang, Chu-Ren 
Ahrens, Kathleen 
Issue Date: 2022
Source: Zeng, 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.
Conference: 31st Joint Workshop on Linguistics and Language Processing 
Type: Conference Paper
URI: https://jwllp31.github.io/assets/jwllp31_Zeng%20et%20al.pdf
http://hdl.handle.net/20.500.11861/9751
Appears in Collections:English Language & Literature - Publication

Show full item record

Page view(s)

31
Last Week
0
Last month
checked on Dec 20, 2024

Google ScholarTM

Impact Indices

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.