A Hierarchical Neural Network Document Classifier with Linguistic Feature Selection.
Chih-Ming ChenHahn-Ming LeeCheng-Wei HwangPublished in: Appl. Intell. (2005)
Keyphrases
- feature selection
- neural network
- text classifiers
- hierarchical classification
- feature set
- fuzzy artmap
- text categorization
- text classification
- feature selection algorithms
- feature space
- feature subset
- support vector
- text documents
- backpropagation neural network
- document classification
- document images
- learning vector quantization
- support vector machine
- feature weighting
- small sample
- classification models
- multi class
- unsupervised learning
- classification accuracy
- web documents
- automatic relevance determination
- natural language
- bayesian classifier
- bayes classifier
- artificial neural networks
- feature ranking
- nearest neighbour
- naive bayes
- knn
- keywords
- multi layer perceptron
- document clustering
- training process
- topic hierarchy
- ensemble learning
- feature selection and classifier
- information retrieval
- feature extraction
- hierarchical structure
- retrieval systems
- classification algorithm
- back propagation
- machine learning
- information gain
- genetic algorithm
- training data
- probabilistic neural network
- information retrieval systems
- instance selection
- fold cross validation
- selection criterion
- neural network model
- self organizing maps
- fuzzy logic
- feature vectors
- training set
- classification method
- feature reduction
- selected features
- term frequency
- classification performances
- radial basis function
- tf idf