Security Trend Analysis using Cloud System based on Text Mining

Abstract

Text mining has been introduced to analyze meaningful topics and trends in documents, and researches has been conducted in various fields. Since the international standard documents are written in relation to each subject, it becomes data for applying text mining. In this study, topic modeling using cloud system has conducted based on 471 documents belonging to the ITU-T X series, and representative topics are extracted by periods. Topic modeling has applied to 3,975 documents, and the trend analysis function was performed by using the occurrence rate extracted from each document. The result of this study would contribute to the invigoration of research in the field of international standards and security.