Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Special Issue of Machine Learning on Information RetrievalIntroduction
Machine Learning - Special issue on information retrieval
TEA: A Text Analysis Tool for the Intelligent Text Document Filtering
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Searching for significant word associations in text documents using genetic algorithms
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
An approach to clustering abstracts
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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This short paper briefly describes the experience in the automated selection of interesting medical text documents by the TEA text analyzer based on the na茂ve Bayes classifier. Even if the used type of the classifier provides generally good results, physicians needed certain supporting functions to obtain really interesting medical text documents, for example, from resources like the Internet. The influence of the functions is summarized and discussed. In addition, some remaining problems are mentioned.