Content analysis of the national examination for Technical Radio Operator for On-the-Ground Services through a Text Mining Technique

Abstract

Content analysis of the national examination for Technical Radio Operator for On-the-Ground Services in Japan is conducted by using KH Coder which is a powerful free software for text mining: The technical terms necessary for leaning the national examination are extracted as frequent terms appeared in the examination sentences; A co-occurrence network of the technical terms extracted is obtained to clarify the systematic relationship among the technical terms. As a result, the useful information to support leaning of the national examination such as classification of the examination questions is provided.