Naive Bayes and Text Classification I - Introduction and Theory.
Sebastian RaschkaPublished in: CoRR (2014)
Keyphrases
- text classification
- naive bayes
- logistic regression
- text categorization
- naive bayes classifier
- text classifiers
- text mining
- feature selection
- bag of words
- bayesian classifier
- decision trees
- uci datasets
- document classification
- labeled data
- machine learning
- classification algorithm
- text data
- cost sensitive
- text documents
- uci data sets
- naive bayesian classifier
- classification accuracy
- bayesian network classifiers
- probability estimation
- knn
- averaged one dependence estimators
- unlabeled data
- co training
- feature extraction
- naive bayes classification
- conditional independence assumption
- locally weighted
- term frequency
- independence assumption
- multi label
- low variance
- training data
- attribute dependencies
- bayesian networks
- association rules
- semantic features