2017 年 2017 巻 p. 20170003
In order to educate teenager internet literacy on social network service, we have developed a Problem Solving Environment to evaluate the literacy-level of their messages on twitter for their teachers and them. We propose a method the system provides effective recognition for their risks. And we adapt the Naive Bayes classifier to evaluation for tweets on Twitter based on pattern-based classifier. In this result, the classification accuracy for word patterns increases from 39.6-57.6% to 68.0-79.9% using Naive Bayes classifier on a set of 3000 training data sets, and users obtain internet literacy skills base on this system.
