Extraction of Unknown Provisions from Terms of Use Using Machine Learning

Abstract

As smartphones and IoT become widespread, opportunities to utilize services provided by companies and individuals are increasing. In using these services, terms of use or standard forms are displayed, with which users often agree without confirming their contents. This may cause troubles in some cases. For this problem, a method for extracting important sentences based on common important concepts registered in advance is proposed; however, this cannot deal with unknown provisions. In this study, we propose a method for extracting the unknown provisions that are different from general matters by dividing the terms of use into individual items and calculating the similarity and feature quantity.