Harmful contents classification using the harmful word filtering and SVM

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4489 LNCS, Issue PART 3, 2007, Pages 18-25

  Lee, Wonhee ^a   Lee, Samuel Sangkon ^b   Chung, Seungjong ^a   An, Dongun ^a  

^a Chonbuk National University   (South Korea)

^b Jeonju University   (South Korea)

Author keywords

Content classification; Filtering; Harmful word; SVM

Indexed keywords

INFORMATION DISSEMINATION; SIGNAL FILTERING AND PREDICTION; SUPPORT VECTOR MACHINES; USER INTERFACES; WORD PROCESSING; WORLD WIDE WEB;

CONTENT CLASSIFICATION; HARMFUL WORDS; PORNOGRAPHY;

CLASSIFICATION (OF INFORMATION);

EID: 38149025660     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72588-6_3     Document Type: Conference Paper

References (12)

1. Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin. : A Practical Guide to Support Vector Classification, http://www.csie.ntu.edu.tw/~cjlin/libsvm/
2. Christopher D. Hunter : Internet Filter Effectiveness: Testing Over and Underinclusive Blocking Decisions of Four Popular Filters, Proceedings of the Tenth Conference on Computers, Freedom and Privacy: Challenging the Assumptions, (2000) 287-294
3. Dequan Zheng, Yi Hu, Tiejun Zhao, Hao Yu, and Sheng Li : Research of Machine Learning Method for Specific Information Recognition on the Internet, IEEE International Conference on Multimedia Interfaces (ICMI), (2002)
4. Huicheng Zheng, Hongmei Liu, and Mohamed Daoudi : Blocking Objectionable Image: Adult Images and Harmful Symbols, IEEE International Conference on Multimedia and Expo (ICME), (2004) 1223-1226
5. Jae-Sun Lee, and Young-Hee Jeon : A Study on the Effective Selective Filtering Technology of Harmful Website Using Internet Content Rating Service, Communication of KIPS Review, Vol. 9, No. 2, (2002)
6. KwangHyun Kim, JoungMi Choi, and JoonHo Lee : Detecting Harmful Web Documents Based on Web Document Analyses, Communication of KIPS Review, Vol. 12-D, No. 5, (2005) 683-688
7. JH Jeong, WH Lee, SW Lee, DU An and SJ Chung : Study of Feature Extraction Algorithm for Harmful word Filtering, KCC Summer Conference, Vol. 33. No. 01. (2006) 7-9 (in Korean)
8. Mohamed Hammami, Youssef Chahir, and Liming Chen : WebGuard: A Web Filtering Engine Combining Textual, Structural, and Visual Content-Based Analysis, IEEE Transaction on Knowledge and Data Engineering, Vol. 18, No. 2, (2006)
9. Nello Cristianini, and John Shawe-Taylor : An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, (2000)
10. P. Y. Lee, and S. C. Hui : An Intelligent Categorization Engine for Bilingual Web Content Filtering, IEEE Transaction on Multimedia, Vol. 7, No. 6, (2005)
11. P. Y. Lee, S. C. Hui, and A. C. M. Fong : Neural Networks for Web Content Filtering, IEEE Intelligent Systems, (2002) 48-57
12. Yun-Jung Jang, Taehun Lee, Kyu Cheol Jung, and Kihong Park : The Method of Hurtfulness Site Interception Using Poisonous Character Weight, KIPS Spring Conference, Vol. 10, No. 1, (2003) 2185-2188 (in Korean)