Christchurch Helicopters

GNU Lesser General Public License v2.1

Leveraging BERT and c-TF-IDF to create easily interpretable topics. 

Top2Vec learns jointly embedded topic, document and word vectors.

Topic modeling with latent Dirichlet allocation using Gibbs sampling

R package for web-based interactive topic model visualization.

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings