Combining homogeneous classifiers for centroid-based text classification.
Verayuth LertnatteeThanaruk TheeramunkongPublished in: ISCC (2002)
Keyphrases
- text classification
- naive bayes
- text classifiers
- feature selection
- classification method
- combining classifiers
- labeled training data
- naive bayes classifier
- text classification tasks
- text categorization
- co training
- text mining
- text data
- multi label
- machine learning
- feature reduction
- labeled data
- unlabeled data
- accurate classifiers
- n gram
- training data
- bag of words
- support vector
- semantic features
- classification algorithm
- training set
- labeled and unlabeled data
- k nearest neighbor
- sentiment analysis
- knn
- automatic text classification
- training examples
- test set
- machine learning algorithms
- combining multiple
- multi label classification
- individual classifiers
- multiple classifiers
- multiple classifier systems
- k means
- language model
- neural network
- data mining
- decision trees
- training documents
- feature set
- semi supervised learning
- data cleaning
- classification systems
- linear classifiers