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

Abstract 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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Kai Ding, Ruihong Li, Zeyu Li, Shangui Hu
Format: Artikel
Sprache:English
Veröffentlicht: SpringerOpen 2025-02-01
Schriftenreihe:Journal of Big Data
Schlagworte:
Online Zugang:https://doi.org/10.1186/s40537-025-01100-1