Multiattribute context analysis to "unclarity" sensibility and applications to malicious information judgment on the Web

互联网在世界上广泛传播。另一方面，在公告栏中有许多恶意信息，如辱骂，危险和犯罪，这成为一个社会问题。由于手工提取恶意信息是不可能的，因此需要一种自动检测恶意信息的方法。在本研究中，大规模收集“自然而清晰的表达”，并利用这些表达构建的检测规则自动提取恶意信息。根据实验结果，自动检测的成功率在70% ~ 80%之间。

Internet has spread widely in the world. On the other hand, there is much malicious information such as abuse, danger and crime in bulletin boards and this becomes a social problem. An automatic method of detecting the malicious information should be required, because it is impossible to extract it by hand.In this research, "natural and clear expressions" is collected on a large scale and the detecting rules built from these expressions is utilized to extract malicious information automatically. According to experimental results, the achievement of automatic detection is from 70% to 80%.