Automated Selection of Interesting Medical Text Documents by the TEA Text Analyzer

Varování

Publikace nespadá pod Lékařskou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	ŽIŽKA Jan BOUREK Aleš
Rok publikování	2002
Druh	Článek ve sborníku
Konference	Third International Conference on Intelligent Text Processing and Computational Linguistics CICLing-2002 Proceedings, Mexico City, February 2002.
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
Obor	Využití počítačů, robotika a její aplikace
Klíčová slova	machine learnig; text-document classification; automated selection; unstructured text; Bayes classification; dictionary modification
Popis	The paper briefly describes the experience in the automated selection of interesting medical text documents by the TEA text analyzer based on the naive 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.
Související projekty:	Interakce člověka s počítačem, dialogové systémy a asistivní technologie