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

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 …

a Latent Dirichlet Allocation (LDA) algorithm for unsupervised topic modeling. By conducting a content analysis (CA …

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

investors' uncertainty about a firm's future valuation. By applying statistical topic modeling to a corpus of 18,254 conference …

investors' uncertainty about a firm's future valuation. By applying statistical topic modeling to a corpus of 18,254 conference …

. Since the analysis utilises text mining methods, such as keyword identification and Topic Modeling, and validates the …