A Neural Network Document Classifier with Linguistic Feature Selection.
Hahn-Ming LeeChih-Ming ChenCheng-Wei HwangPublished in: IEA/AIE (2000)
Keyphrases
- feature selection
- neural network
- text classifiers
- feature set
- text categorization
- text classification
- feature subset
- feature selection algorithms
- feature selection and classifier
- document classification
- support vector
- bayes classifier
- learning vector quantization
- fuzzy artmap
- feature space
- support vector machine
- classification accuracy
- backpropagation neural network
- input features
- feature weighting
- information retrieval
- feature reduction
- multi layer perceptron
- knn
- automatic relevance determination
- classification models
- machine learning
- text documents
- document collections
- artificial neural networks
- feature ranking
- classification algorithm
- document images
- small sample
- back propagation
- naive bayes
- mutual information
- training process
- tf idf
- classification performances
- selected features
- probabilistic neural network
- binary decision tree
- nearest neighbour
- neural network model
- keywords
- training set
- information retrieval systems
- retrieval systems
- web documents
- genetic algorithm
- learning algorithm
- training documents
- model selection
- classification method
- document clustering
- fold cross validation
- feature maps
- information gain
- svm classifier
- instance selection
- supervised learning
- bayesian classifier
- classify documents
- feature extraction