Dependency Relation Based Feature Vectors for Classifying Nursing-Care Texts

It is very important for us to improve the nursing-care quality. To improve the nursing-care quality, the “Web based Nursing-care Quality Improvement System” have been proposed and operating continuously. In the Web-based system, freestyle Japanese texts, which are called “nursing-care texts,” are collected through the Internet in Japan for evaluating actual nursing-care process. The nursing-care experts can evaluate actual nursing-care process by reading the collected nursing-care texts carefully and then recommend some improvements to nurses. However, it is hard to do the above-mentioned evaluation process for a large number of nurses because the number of nursing-care experts who can evaluate the nursing-care texts is a few. In order to assist nursing-care experts in evaluating the nursing-care texts, a computer aided nursing-care text classification system has been developed. In this paper, we propose a novel feature definition for the nursing-care text classification system. Dependency relations between terms are extracted from the nursing-care texts. The extracted dependency relations are used as feature values that represent characteristics of the nursing-care text.