An Embedding-Based Topic Model for Document Classification.
Sattar SeifollahiMassimo PiccardiAlireza JolfaeiPublished in: ACM Trans. Asian Low Resour. Lang. Inf. Process. (2021)
Keyphrases
- document classification
- topic models
- text documents
- text mining
- latent dirichlet allocation
- topic modeling
- latent variables
- news articles
- text classification
- generative model
- latent topics
- text analysis
- probabilistic model
- text categorization
- co occurrence
- web documents
- data mining
- information extraction
- markov networks
- machine learning
- classification algorithm
- named entities
- document clustering
- training data
- gibbs sampling
- databases
- em algorithm
- semi supervised
- knowledge discovery
- information retrieval