Efficient parallel learning algorithms for neural networks
Advances in neural information processing systems 1
Back propagation is sensitive to initial conditions
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Second-Order Methods for Neural Networks
Second-Order Methods for Neural Networks
Automatic Text Categorization and Its Application to Text Retrieval
IEEE Transactions on Knowledge and Data Engineering
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5 - Volume 5
A fuzzy approach to classification of text documents
Journal of Computer Science and Technology
Reformulation of queries using similarity thesauri
Information Processing and Management: an International Journal
Hierarchical document categorization with k-NN and concept-based thesauri
Information Processing and Management: an International Journal
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Fuzzy support vector machine for multi-class text categorization
Information Processing and Management: an International Journal
Text classification: A least square support vector machine approach
Applied Soft Computing
Mutually beneficial learning with application to on-line news classification
Proceedings of the ACM first Ph.D. workshop in CIKM
An effective refinement strategy for KNN text classifier
Expert Systems with Applications: An International Journal
Class normalization in centroid-based text categorization
Information Sciences: an International Journal
Query expansion with an automatically generated thesaurus
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A unified approach on fast training of feedforward and recurrentnetworks using EM algorithm
IEEE Transactions on Signal Processing
High-order and multilayer perceptron initialization
IEEE Transactions on Neural Networks
Deterministic convergence of an online gradient method for BP neural networks
IEEE Transactions on Neural Networks
| Hi-index | 12.05 |
This paper presents a method for computing a thesaurus from a text corpus, and combined with a revised back-propagation neural network (BPNN) learning algorithm for document categorization. Automatically constructed thesaurus is a data structure that accomplished by extracting the relatedness between words. Neural network is one of the efficient approaches for document categorization. However the conventional BPNN has the problems of slow learning and easy to involve into the local minimum. We use a revised algorithm to improve the conventional BPNN that can overcome these problems. A well constructed thesaurus has been recognized as valuable tool in the effective operation of document categorization, it overcome some problem for the document categorization based on bag of words which ignored the relationship between words. To investigate the effectiveness of our method, we conducted the experiments on the standard Reuter-21578. The experimental results show that the proposed model was able to achieve higher categorization effectiveness as measured by the precision, recall and F-measure.