sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics
Published Online:22 Mar 2022https://doi.org/10.1287/isre.2022.1124
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April 10, 2013 - April 2, 2026
Yi Yang
[email protected]Department of Information Systems, Business Statistics and Operations Management, Hong Kong University of Science and Technology, Hong Kong;
Kunpeng Zhang
[email protected]https://orcid.org/0000-0002-1474-3169
Department of Decision, Operations and Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park, College Park, Maryland 20742;
Yangyang Fan
[email protected]School of Accounting and Finance, Faculty of Business, Hong Kong Polytechnic University, Hong Kong
Yi Yang
[email protected]Department of Information Systems, Business Statistics and Operations Management, Hong Kong University of Science and Technology, Hong Kong;
Kunpeng Zhang
[email protected]https://orcid.org/0000-0002-1474-3169
Department of Decision, Operations and Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park, College Park, Maryland 20742;
Yangyang Fan
[email protected]School of Accounting and Finance, Faculty of Business, Hong Kong Polytechnic University, Hong Kong

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