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insight - Transformer-Based Topic Modelling
Probabilistic Topic Modelling with Transformer Representations: A Comprehensive Analysis
The author proposes the Transformer-Representation Neural Topic Model (TNTM) to combine transformer-based embedding spaces with probabilistic modeling for topic representation. The approach unifies powerful topics based on transformer embeddings with fully probabilistic modeling.
Probabilistic Topic Modelling with Transformer Representations: A Comprehensive Analysis
Transformer-Representation Neural Topic Model (TNTM) unifies transformer embeddings with probabilistic modelling for enhanced topic coherence and diversity.