A case study on integration of vehicle defect and recall information analysis

Abstract

As the information of vehicle defect, the vehicle defect information and the recall information are disclosed by the website of Japanese Ministry of Land, Infrastructure, Transport and Tourism., Unlike other studies which analyze the text data of each one, we focus on the relation between them and analyze it of both. In order to derive the tendency of dependency pairs which means defect phenomena, dependency parsing and BM 25 are applied for the analysis. From results of calculating occurrence and BM 25 score for pairs of dependency words and modified words, some tendencies are found in each of high score's pairs. For the analysis of recall information, correspondence analysis, co-occurrence network and self-organizing map are conducted to find the relational words between three categories of defect factor. Twelve primary factors of five parts are shown as the factors in fuel device which causes liquid leakage. Finally, factors of important defect phenomena is discussed. Several dependency pairs are shown as important defect phenomena, and primary factors of parts are shown as an example of factors of liquid leakage which is one of them.