Symbolic and Neural Learning Algorithms: An Experimental Comparison
Machine Learning
A Nearest Hyperrectangle Learning Method
Machine Learning
Classifying news stories using memory based reasoning
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Learning Boolean concepts in the presence of many irrelevant features
Artificial Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
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
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
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
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Multilingual Text Mining Approach Based on Self-Organizing Maps
Applied Intelligence
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Automatic Category Theme Identification and Hierarchy Generation for Chinese Text Categorization
Journal of Intelligent Information Systems
Expert Systems with Applications: An International Journal
A text mining approach for automatic construction of hypertexts
Expert Systems with Applications: An International Journal
An overview of statistical learning theory
IEEE Transactions on Neural Networks
Automatic text categorization based on content analysis with cognitive situation models
Information Sciences: an International Journal
Research of fast SOM clustering for text information
Expert Systems with Applications: An International Journal
Ranking and selection of unsupervised learning marketing segmentation
Knowledge-Based Systems
| Hi-index | 12.05 |
Due to the availability of a huge amount of textual data from a variety of sources, users of internationally distributed information regions need effective methods and tools that enable them to discover, retrieve and categorize relevant information, in whatever language and form it may have been stored. This drives a convergence of numerous interests from diverse research communities focusing on the issues related to multilingual text categorization. In this work, we implemented and measured the performance of the leading supervised and unsupervised approaches for multilingual text categorization. We selected support vector machines (SVM) as representative of supervised techniques as well as latent semantic indexing (LSI) and self-organizing maps (SOM) techniques as our selective ones of unsupervised methods for system implementation. The preliminary results show that our platform models including both supervised and unsupervised learning methods have the potentials for multilingual text categorization.