A clustering-based topic model using word networks and word embeddings.
Wenchuan MuKwan Hui LimJunhua LiuShanika KarunasekeraLucia FalzonAaron HarwoodPublished in: J. Big Data (2022)
Keyphrases
- topic models
- latent topics
- word pairs
- co occurrence
- statistical topic models
- latent topic models
- latent dirichlet allocation
- topic modeling
- n gram
- probabilistic model
- text documents
- baseline models
- word sense disambiguation
- generative model
- social networks
- databases
- gibbs sampling
- natural language processing
- latent topic model
- artificial intelligence