Prediction-Constrained Topic Models for Antidepressant Recommendation.
Michael C. HughesGabriel HopeLeah WeinerThomas H. McCoy Jr.Roy H. PerlisErik B. SudderthFinale Doshi-VelezPublished in: CoRR (2017)
Keyphrases
- topic models
- topic modeling
- latent dirichlet allocation
- latent variables
- text mining
- co occurrence
- collaborative filtering
- text documents
- recommender systems
- latent topics
- probabilistic model
- latent topic models
- probabilistic topic models
- generative model
- text corpora
- gibbs sampling
- hierarchical bayesian model
- relevance model
- probabilistic latent semantic analysis
- image segmentation
- feature selection
- machine learning
- real world