The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic

Reference : The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/54888

Title :	The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic
Language :	English
Author, co-author :	Chen, Ninghan [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Chen, Xihui [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Zhong, Zhiqiang [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Pang, Jun [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	17-Mar-2023
Publisher :	Springer
Pages :	241-257
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Event date :	2022
Event country :	France
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/54888
DOI :	10.1007/978-3-031-26390-3_15
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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