Probabilistic topic modeling for short text based on word embedding networks.
Marcelo PitaMatheus NunesGisele L. PappaPublished in: Appl. Intell. (2022)
Keyphrases
- topic modeling
- topic models
- latent topics
- latent dirichlet allocation
- probabilistic model
- co occurrence
- modeling framework
- generative model
- probabilistic topic models
- text mining
- collaborative filtering
- text classification
- bayesian networks
- monolingual and cross lingual
- heterogeneous networks
- word sense disambiguation
- vector space
- graphical models
- n gram
- expectation maximization
- language model
- artificial intelligence
- information retrieval