Neural Topic Models for Short Text Using Pretrained Word Embeddings and Its Application To Real Data.
Riki MurakamiBasabi ChakrabortyPublished in: ICKII (2021)
Keyphrases
- latent topics
- short text
- topic models
- latent dirichlet allocation
- topic modeling
- text documents
- co occurrence
- probabilistic model
- latent topic models
- latent variables
- text mining
- low dimensional
- generative model
- vector space
- named entities
- document retrieval
- machine learning
- high dimensional data
- information retrieval systems
- image segmentation