Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora.
Daniel RamageDavid HallRamesh NallapatiChristopher D. ManningPublished in: EMNLP (2009)
Keyphrases
- topic models
- latent dirichlet allocation
- topic modeling
- weakly supervised
- supervised learning
- text corpora
- generative model
- text documents
- supervised topic models
- topic discovery
- latent variables
- co occurrence
- text mining
- probabilistic topic models
- probabilistic model
- lda model
- latent topics
- variational inference
- training data
- gibbs sampling
- feature extraction
- training set
- learning algorithm
- text categorization
- unsupervised learning
- natural language processing
- latent topic models