Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Connectionist learning procedures
Artificial Intelligence
What size net gives valid generalization?
Neural Computation
Connectionist ideas and algorithms
Communications of the ACM
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Evaluating text categorization
HLT '91 Proceedings of the workshop on Speech and Natural Language
The basic ideas in neural networks
Communications of the ACM
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
ACM Transactions on Asian Language Information Processing (TALIP)
Journal of the American Society for Information Science and Technology
Web page feature selection and classification using neural networks
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Filtering search results using an optimal set of terms identified by an artificial neural network
Information Processing and Management: an International Journal
Building a scientific knowledge web portal: the NanoPort experience
Decision Support Systems
A machine learning approach to web page filtering using content and structure analysis
Decision Support Systems
Latent semantic analysis for text categorization using neural network
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Improving Automatic Text Classification by Integrated Feature Analysis
IEICE - Transactions on Information and Systems
Information Processing and Management: an International Journal
Using phrases as features in email classification
Journal of Systems and Software
Combining neural networks and semantic feature space for email classification
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Filtering search results using an optimal set of terms identified by an artificial neural network
Information Processing and Management: an International Journal
Boosting algorithm to improve a voltage waveform classifier based on artificial neural network
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Text and hypertext categorization
Artificial intelligence
An impact of linguistic features on automated classification of OCR texts
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Using web sources for improving video categorization
Journal of Intelligent Information Systems
Text categorization based on artificial neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
A novel algorithm for text categorization using improved back-propagation neural network
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Chinese text classification based on neural network
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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In a text categorization model using an artificial neural network as the text classifier, scalability is poor if the neural network is trained using the raw feature space since textural data has a very high-dimension feature space.We proposed and compared four dimensionality reduction techniques to reduce the feature space into an input space of much lower dimension for the neural network classifier. To test the effectiveness of the proposed model, experiments were conducted using a subset of the Reuters-22173 test collection for text categorization.The results showed that the proposed model was able to achieve high categorization effectiveness as measured by precision and recall. Among the four dimensionality reduction techniques proposed, Principal Component Analysis was found to be the most effective in reducing the dimensionality of the feature space.