What is wrong with topic modeling? And how to fix it using search-based software engineering

Topic modeling finds human-readable structures in unstructured textual data. A widely used topic modeling technique is Latent Dirichlet allocation. When running on different datasets, LDA suffers from “order effects”, i.e., different topics are generated if the order of training data is shuffled. Su...

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Veröffentlicht in:	Information and software technology Jg. 98; S. 74 - 88
Hauptverfasser:	Agrawal, Amritanshu, Fu, Wei, Menzies, Tim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2018
Schlagworte:	Differential evolution LDA Stability Topic modeling Tuning Topic modeling LDA Differential evolution Stability Tuning
ISSN:	0950-5849, 1873-6025
Online-Zugang:	Volltext
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