Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Suzanna SiaAyush DalmiaSabrina J. MielkePublished in: EMNLP (1) (2020)
Keyphrases
- topic models
- latent topics
- co occurrence
- topic modeling
- latent dirichlet allocation
- latent topic models
- statistical topic models
- word pairs
- text documents
- latent variables
- text mining
- clustering algorithm
- generative model
- topic discovery
- probabilistic model
- gibbs sampling
- probabilistic topic models
- probabilistic latent semantic analysis
- vector space
- document clustering
- low dimensional
- data points
- text corpora
- bag of words
- text categorization
- relevance model
- graphical models
- dimensionality reduction
- hierarchical bayesian model
- keywords
- image segmentation