Filtering of Large Numbers of Unstructured Text Documents by the Developed Tool TEA
| Authors | |
|---|---|
| Year of publication | 2002 |
| Type | Article in Proceedings |
| Conference | Text, Speech and Dialogue TSD-2002 |
| MU Faculty or unit | |
| Citation | |
| Field | Use of computers, robotics and its application |
| Keywords | medical text analysis; medical text filtering; medical text classification |
| Description | Text-document-filtering system based on the Bayes classification method with additional functions for classification of unstructured medical texts. The system uses supervised learning based on data examles. |
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