Naive Bayes and Text Classification I - Introduction and Theory.

Sebastian Raschka

Published 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