Improving a SVM Meta-classifier for Text Documents by using Naive Bayes.
Daniel MorariuRadu George CretulescuLucian VintanPublished in: Int. J. Comput. Commun. Control (2010)
Keyphrases
- text documents
- naive bayes
- text classifiers
- text classification
- text categorization
- classification algorithm
- naive bayes classifier
- document classification
- feature selection
- text mining
- knn
- bayesian classifiers
- bayesian classifier
- training data
- text data
- decision trees
- bag of words
- support vector
- logistic regression
- probabilistic classifiers
- tf idf
- k nearest neighbor
- support vector machine svm
- cost sensitive
- classification accuracy
- support vector machine
- svm classifier
- labeled data
- machine learning
- class probabilities
- information extraction
- bayesian network classifiers
- term frequency
- n gram
- semi supervised learning
- wordnet
- conditional independence assumption
- unsupervised learning
- training set
- co training
- unlabeled data
- question answering
- image classification
- object recognition
- search engine