Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Retrieval algorithm effectiveness in a wide area network information filter
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Neural network design
Neural Networks
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Hierarchical Text Categorization Using Neural Networks
Information Retrieval
IEEE Internet Computing
Information Retrieval on the World Wide Web
IEEE Internet Computing
Hierarchical Text Classification and Evaluation
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Neural networks for classification: a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Stability of steepest descent with momentum for quadratic functions
IEEE Transactions on Neural Networks
Neighborhood based Levenberg-Marquardt algorithm for neural network training
IEEE Transactions on Neural Networks
An intelligent web-page classifier with fair feature-subset selection
Engineering Applications of Artificial Intelligence
A study of local and global thresholding techniques in text categorization
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Designing evolving user profile in e-CRM with dynamic clustering of Web documents
Data & Knowledge Engineering
Two novel feature selection approaches for web page classification
Expert Systems with Applications: An International Journal
Hierarchical fuzzy clustering decision tree for classifying recipes of ion implanter
Expert Systems with Applications: An International Journal
Nonlinear transformation of term frequencies for term weighting in text categorization
Engineering Applications of Artificial Intelligence
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In this article, a neural network document classifier with linguistic feature selection and multi-category output is presented. It consists of a feature selection unit and a hierarchical neural network classification unit. In the feature selection unit, the candidate terms are extracted from some original documents by text processing techniques, and then the conformity and uniformity of each term are analyzed by an entropy function which can measure the significance of terms. Terms with high significance are selected as input features for training neural network document classifiers. In order to reduce the input dimensions, a composition mechanism of fuzzy relation is employed to identify synonyms. By this method, a synonym thesaurus can be constructed to reduce input dimensions. To simplify the learning scheme, the well-known back-propagation learning model is used to build proper hierarchical classification units. In our experiments, a product description database from an electronic commercial company is employed. The experimental results show that this classifier achieves sufficient accuracy to help human classification. It can save much manpower and work time classifying a large database.