CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling.
Zheng FangYulan HeRob ProcterPublished in: LREC/COLING (2024)
Keyphrases
- topic modeling
- latent topics
- topic models
- latent dirichlet allocation
- text mining
- co occurrence
- neural network
- modeling framework
- vector space
- n gram
- scientific articles
- topic extraction
- text classification
- word sense disambiguation
- collaborative filtering
- low dimensional
- text corpora
- keywords
- probabilistic latent semantic analysis
- dimensionality reduction
- probabilistic topic models
- image segmentation
- artificial intelligence