Consideration about Utilizing Text Architecture for Making Feature Vectors in Classifying Nursing-Care Texts
Manabu Nii, Shouta Miyake, Kazunobu Takahama, Atsuko Uchinuno, Reiko Sakashita · 2013
Since Japan is one of the most aging countries, it is very important for us to improve the nursing-care quality. For improving the nursing-care quality, a Web-based nursing-care quality improvement system have been proposed and operating experimentally and continuously. A kind of collected data by the Web-based system is freestyle Japanese text called "nursing-care texts". The nursing-care texts are used for evaluating actual nursing-care process. 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 phrase based feature vector definition for classifying the nursing-care texts. The dependency relation based feature vector definition has been proposed in our previous work. As another feature vector definition method, we propose a phrase based feature vector definition method. Phrases are found by using the dependency relation analysis and stored into a phrase list. We also define a similarity between phrases because each phrase consists of some kinds of words. From experimental results, we show that our phrase based feature vector contributes the classification performance.