Dirichlet Allocation topic modeling approach. This framework was used to uncover subtopics from 20 years of financial fraud … determined the top journals, articles, countries and keywords based on various bibliometric metrics. Second, using topic modeling … applying meta-analysis. Originality/value Despite the popularity of bibliometric analysis and topic modeling, there have been …

structural topic modeling to identify topics related (or relevant) to GPG provision, and trace their participation in the …

topic modeling and address the following research questions: What are potential areas of innovation activity in the ICT … sector of Mauritius? Furthermore, do web mining and topic modeling provide sufficient indicators to understand innovation …

machine learning techniques, specifically utilizing topic modeling. We derive a taxonomy of crisis innovation, which …

The objective of advanced topic modeling is not only to explore latent topical structures, but also to estimate …

and topic modeling with the Latent Dirichlet Allocation (LDA) method. Data were collected from the top four skincare … the local skincare product category. In addition, this study applied automated topic modeling with LDA, which needed an a … topic modeling results. Lastly, future studies can examine the relationship between brand post types/categories and …