Work

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

Year: 2022

Type: article

Study design: Observational Study

Source: Journal of Technology in Human Services

DOI: 10.1080/15228835.2022.2036301

Authors: Gerard Chung, Maria Rodriguez, Paul Lanier, Daniel Gibbs

Institutions: National University of Singapore, University at Buffalo, State University of New York, University of North Carolina at Chapel Hill

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4213091819

FWCI: 10.23

Cites: 40

Cited by: 22

Related to: 10