# Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling

@article{Pfeifer2019TopicGA, title={Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling}, author={Daniel Pfeifer and Jochen L. Leidner}, journal={ArXiv}, year={2019}, volume={abs/1904.06483} }

We introduce Topic Grouper as a complementary approach in the field of probabilistic topic modeling. [...] Key Method The algorithm starts with one-word topics and joins two topics at every step. It therefore generates a solution for every desired number of topics ranging between the size of the training vocabulary and one. The process represents an agglomerative clustering that corresponds to a binary tree of topics. A resulting tree may act as a containment hierarchy, typically with more general topics… Expand

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