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

Please use this identifier to cite or link to this item: https://doi.org/10.1080/15228835.2022.2036301

DC Field	Value
dc.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
dc.contributor.author	Gerard Chung
dc.contributor.author	Maria Rodriguez
dc.contributor.author	Paul Lanier
dc.contributor.author	Daniel Gibbs
dc.date.accessioned	2023-01-25T06:44:40Z
dc.date.available	2023-01-25T06:44:40Z
dc.date.issued	2022-02-14
dc.identifier.citation	Gerard Chung, Maria Rodriguez, Paul Lanier, Daniel Gibbs (2022-02-14). 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. https://doi.org/10.1080/15228835.2022.2036301
dc.identifier.issn	1522-8835
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/236394
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	DEAN'S OFFICE (ARTS & SOCIAL SC.)
dc.description.doi	10.1080/15228835.2022.2036301
dc.description.sourcetitle	Journal of Technology in Human Services
dc.description.volume	40
dc.description.issue	4
dc.description.page	296-318
dc.published.state	Published
Appears in Collections:	Elements Staff Publications

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