Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020.
Olga KellertMd. Mahmud Uz ZamanPublished in: LChange@ACL (2022)
Keyphrases
- topic models
- latent topics
- text documents
- latent dirichlet allocation
- probabilistic topic models
- topic modeling
- text corpora
- generative model
- latent topic models
- probabilistic model
- text mining
- co occurrence
- latent variables
- latent semantics
- lda model
- latent factors
- gibbs sampling
- real world
- n gram
- keywords
- image segmentation