Extraction of Impolite Expression from Messages to Multipersons

Abstract

It is desired that messages don't become impolite when you send a message towards many unspecified persons. This paper aimed to extract the most likely sentence that contains impolite expression from message such as BBS and Twitter. The system uses the set of words that are more likely to be impolite expression to judge whether a message is impolite. The result of the system promotes the reconsideration of message contents to user. In addition, the result helps to avoid a contribution of the impolite expression.