Detecting themes in mobile application reviews by using LDA, GSDMM, and ETM

Bibliographische Detailangaben
1. Verfasser:	Tan, Renee Kristine Lorenzana (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Quezon City University of the Philippines Diliman 2022
Schlagworte:	Mobile apps. Latent Dirichlet Allocation (LDA). Gibbs Sampling for Dirichlet Mixed Model (GSDMM). Embedded Topic Model (ETM).