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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Bibliographic Details
Published inInformation and software technology Vol. 98; pp. 74 - 88
Main Authors Agrawal, Amritanshu, Fu, Wei, Menzies, Tim
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2018
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