Filtering harmful sentences based on three-word co-occurrence
Yutaro Fujii, Takuya Yoshimura, Takayuki Itō · 2011
Many bulletin board systems and social network services have become popular collaboration tools in recent years. In such systems, users can easily upload and share their own information via personal computers and mobile phones. However, some information, such as adult content, is not appropriate for all users, notably children. Many SNS and BBS providers have been trying to monitor and remove harmful information that comes from their users. At the current stage, these companies manually check the users' sentences before publishing them. For these companies, even partial automation of such observation tasks will reduce the huge labor cost.