Investigation of methods for extracting social issues and missions for solving them from Web content

Abstract

In this paper, we propose methods for extracting social issues and missions from Web content like news articles. The purpose of this study is to solve the shortage of resources such as human resources of civil society organizations such as NPOs. Therefore, it is necessary for citizens to sympathize with the issues that NPO organizations want to solve. For this purpose, information extracted with reference to Golden Circle is defined, and extraction is automatically performed on the Internet by using machine learning. In this paper, we describe a technique for that purpose.