Gabriel Assis

Classical Tricks for Better Topics: Can Traditional Text Mining Techniques Improve Generative Topic Modeling?

Topic modeling is widely used to discover and organize latent themes in large text collections. While recent embedding-based methods have improved topic discovery by leveraging dense semantic representations, they typically represent topics as lists of keywords, often providing limited insights into the underlying them...