Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines

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Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines

Online platforms that enable employees to voluntarily share their opinions and experiences about current and former employers present a valuable data source for investigating worker satisfaction. This user-generated feedback has the potential to provide insights that surpass the limitations of tradi...

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Bibliographic Details
Main Authors:	Ding, Kai, Li, Ruihong, Li, Zeyu, Hu, Shangui
Format:	Article
Language:	English
Published:	Springer Nature 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/118381/ http://psasir.upm.edu.my/id/eprint/118381/1/118381.pdf

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