Evaluating LDA and LSA for Topic Modeling in the Indonesian Natural Disaster
Muhamad Gatot Supiadin,
Arif Dwi Laksito
Abstract:Topic Modeling is a method for analyzing topics, documents, and articles in Natural Language Processing. The LDA (Latent Dirichlet Allocation) and LSA (Latent Semantic Analysis) algorithms are widely used in topic modelling. This study focuses on analyzing articles related to natural disasters in the Indonesian language. The dataset for this study was obtained through data scraping from Google News, which served as a container for several articles and online news sources. The research method is divided into se… Show more
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