TEA: A Text Analysis Tool for the Intelligent Text Document Filtering
| Authors | |
|---|---|
| Year of publication | 2000 |
| Type | Article in Proceedings |
| Conference | Text, Speech and Dialogue |
| MU Faculty or unit | |
| Citation | |
| Field | Use of computers, robotics and its application |
| Keywords | machine learning; text document classification; naive Bayes classificator; medical text documents |
| Description | Text document classification using the naive Bayes classificator. Fine tuning the classification process. Results of experiments with real data. |
| Related projects: |