Applying the Multiple Cause Mixture Model to Text Categorization.
Mehran SahamiMarti A. HearstEric SaundPublished in: ICML (1996)
Keyphrases
- text categorization
- mixture model
- text classification
- feature selection
- generative model
- em algorithm
- probabilistic model
- information gain
- gaussian mixture model
- k nearest neighbor
- knn
- multi label
- unsupervised learning
- naive bayes
- expectation maximization
- model selection
- text documents
- language model
- maximum likelihood
- semi supervised learning
- term frequency
- automatic text categorization
- data sets
- text mining
- training set
- computer vision
- text classifiers