Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models.
Wei ShaoLei HuangShuqi LiuShihua MaLinqi SongPublished in: IJCNN (2022)
Keyphrases
- topic models
- latent dirichlet allocation
- topic modeling
- vector space
- co occurrence
- text documents
- generative model
- probabilistic model
- text mining
- latent variables
- latent topics
- manifold learning
- latent topic models
- probabilistic topic models
- probabilistic latent semantic analysis
- gibbs sampling
- machine learning
- relevance model
- image segmentation
- databases