Using Fsvm Classfication Algorithm For Extracting Texts On Internet
Corressponding author's email:
tapchikhgkdt@hcmute.edu.vnKeywords:
SVM, FSVMAbstract
This paper is used automatically to extract information and classify texts by SVM method, FSVM method with fuzzy multiclass classification. This research result is used to collect information from admin webpage of local goverment departments, offices for providing citizens, companies about news of HCM city goverment policy, needed information for operating public admin.
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References
Nguyễn Thị Kim Ngân (2004), Phân loại văn bản tiếng Việt bằng phương pháp support vector machines, Đại học Bách Khoa Hà Nội, Hà Nội.
Lê Phú (2005), Rút trích tự động các khối văn bản mang tin tức chính trên các trang báo, Đại học Bách Khoa TP.HCM, TP.HCM.
Johannes F ̈urnkranz (2002), “Pairwise Classification as an Ensemble Technique ”, Proceedings of the 13th European Conference on Machine Learning, Springer Verlag, pp. 97-110.
Johannes F ̈urnkranz (2001), “Round Robin Rule Learning”, in Proceedings of the 18th Interneational Conference on Machine Learning (ICML-01), pp. 146-153.
Shigeo Abe and Takuya Inoue (2002), “Fuzzy Support Vector Machines for Multiclass Problems”, ESANN’2002 proceedings, pp. 113-118.
Shigeo Abe and Takuya Inoue (2001), “Fuzzy Support Vector Machines for Pattern Classification”, In Proceeding of International Joint Conference on Neural Networks (IJCNN ’01), volume 2, pp. 1449-1454.
Tsui-Feng Hu (2004), Fuzzy Correlation and Support Vector Learning Approach to Multi-Categorization of Documents, Master Thesis, Institute of Information Management I-Shou University, Taiwan.
T.Joachims (1998), “Text Categorization with Support Vector Machines: Learning with Many Relevant Features,” in Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pp. 137–142.
Valter Crescenzi, Giansalvatore Mecca, Paolo Merialdo (2001), “RoadRunner: Towards Automatic Data Extraction from Large Web Sites”, The VLDB Journal, pp. 109-118.
Vladimir N.Vapnik (2000), The Nature of Statiscal Learning Theory – Second Edition, Springer, New York.
Wuu Yang (1991), “Identifying Syntactic Differences Between Two Programs”, Software-Practice & Experience, Volume 21(7), pp. 739-755.
Xiufeng Jiang, Zhang Yi and Jian Cheng Lv (2006), “Fuzzy SVM with a new fuzzy membership function”, Neural Computing and Applications, Volume 15(3), pp. 268-276.
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