On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
Xiaobao Wu,
Fengjun Pan,
Thong Nguyen
et al.
Abstract:Hierarchical topic modeling aims to discover latent topics from a corpus and organize them into a hierarchy to understand documents with desirable semantic granularity. However, existing work struggles with producing topic hierarchies of low affinity, rationality, and diversity, which hampers document understanding. To overcome these challenges, we in this paper propose Transport Plan and Context-aware Hierarchical Topic Model (TraCo). Instead of early simple topic dependencies, we propose a transport plan dep… Show more
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