topicmodels: Topic models. Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
References in zbMATH (referenced in 3 articles )
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- Taylor B. Arnold: A Tidy Data Model for Natural Language Processing using cleanNLP (2017) arXiv
- Rusch, Thomas; Hofmarcher, Paul; Hatzinger, Reinhold; Hornik, Kurt: Model trees with topic model preprocessing: an approach for data journalism illustrated with the WikiLeaks Afghanistan war logs (2013)
- Zhao, Yanchang: R and data mining. Examples and case studies (2013)