SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.
Heng-Yang LuYi ZhangYuntao DuPublished in: Data Technol. Appl. (2021)
Keyphrases
- latent topics
- topic discovery
- topic models
- short text
- topic modeling
- latent dirichlet allocation
- text documents
- co occurrence
- text mining
- variational inference
- lda model
- generative model
- gibbs sampling
- probabilistic model
- low dimensional
- text analysis
- latent variables
- machine translation
- text data
- high dimensional data
- artificial intelligence