Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

5 code implementations • 6 May 2016 • Christopher E Moody

Distributed dense word vectors have been shown to be effective at capturing token-level semantic and syntactic regularities in language, while topic models can form interpretable representations over documents.

Topic Models Word Embeddings