상세정보
학술대회
2-Way Text Classification for Harmful Web Documents
- 발행일
- 200605
- 출처
- International Conference on Computational Science and Its Applications (ICCSA) 2006 (LNCS 3981), v.3981, pp.545-551
- 협약과제
- 06MK2300, 차세대 모바일 단말기의 보안 및 신뢰 서비스를 위한 공통 보안 핵심 모듈 개발, 전성익
- 초록
- The openness of the Web allows any user to access almost any type of information. However, some information, such as adult content, is not appropriate for all users, notably children. Additionally for adults, some contents included in abnormal porn sites can do ordinary people's mental health harm. In this paper, we propose an efficient 2-way text filter for blocking harmful web documents and also present a new criterion for clear classification. It filters off 0-grade web texts containing no harmful words using pattern matching with harmful words dictionaries, and classifies 1-grade,2-grade and 3-grade web texts using a machine learning algorithm. © Springer-Verlag Berlin Heidelberg 2006.
- KSP 제안 키워드
- Machine Learning Algorithms, Ordinary people, Type of information, Web Documents, mental health, pattern matching, text classification, web texts