Automated learning of decision rules for text categorization
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
Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
Hierarchical neural networks for text categorization (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Back-Propagation: Theory, Architecture, and Applications
Back-Propagation: Theory, Architecture, and Applications
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Complementing WordNet with Roget's and corpus-based thesauri for information retrieval
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Information Processing and Management: an International Journal
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
An effective refinement strategy for KNN text classifier
Expert Systems with Applications: An International Journal
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
Query expansion with an automatically generated thesaurus
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Supporting product design by anticipating the success chances of new value profiles
Computers in Industry
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In this paper, a corpus-based thesaurus and WordNet were used to improve text categorization performance. We employed the k-NN algorithm and the back propagation neural network (BPNN) algorithms as the classifiers. The k-NN is a simple and famous approach for categorization, and the BPNNs has been widely used in the categorization and pattern recognition fields. However the standard BPNN has some generally acknowledged limitations, such as a slow training speed and can be easily trapped into a local minimum. To alleviate the problems of the standard BPNN, two modified versions, Morbidity neurons Rectified BPNN (MRBP) and Learning Phase Evaluation BPNN (LPEBP), were considered and applied to the text categorization. We conducted the experiments on both the standard reuter-21578 data set and the 20 Newsgroups data set. Experimental results showed that our proposed methods achieved high categorization effectiveness as measured by the precision, recall and F-measure protocols.