Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models.
Wei ShaoLei HuangShuqi LiuShihua MaLinqi SongPublished in: CoRR (2022)
Keyphrases
- topic models
- topic modeling
- latent dirichlet allocation
- vector space
- text documents
- text mining
- probabilistic model
- latent variables
- co occurrence
- generative model
- latent topics
- gibbs sampling
- latent topic models
- probabilistic latent semantic analysis
- hierarchical bayesian model
- euclidean space
- text corpora
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional
- machine learning
- embedding space
- databases