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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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| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| 10.108015228835.2022.2036301.zip | 1.45 MB | ZIP | OPEN | None | View/Download |
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