Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/236382
Title: Text-mining open-ended survey responses using structural topic modeling: A practical demonstration to understand parents' coping methods during the COVID-19 pandemic in Singapore
Authors: Gerard Chung 
Maria Rodriguez
Paul Lanier
Daniel Gibbs
Issue Date:  14
Publisher: Taylor & Francis
Citation: Gerard Chung, Maria Rodriguez, Paul Lanier, Daniel Gibbs (14/2/2022). Text-mining open-ended survey responses using structural topic modeling: A practical demonstration to understand parents' coping methods during the COVID-19 pandemic in Singapore. Journal of Technology in Human Services 40 (4) : 296-318. ScholarBank@NUS Repository.
Source Title: Journal of Technology in Human Services
URI: https://scholarbank.nus.edu.sg/handle/10635/236382
ISSN: 1522-8835
Appears in Collections:Staff Publications

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