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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.8 No.1
- 발행연도
- 2008.3
- 수록면
- 52 - 60 (9page)
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초록· 키워드
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This research proposes a new strategy where documents are encoded into string vectors for text categorization and modified versions of SVM to be adaptable to string vectors. Traditionally, when the traditional version of SVM is used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text categorization, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and apply the modified version of SVM adaptable to string vectors for text categorization.
목차
Abstract
1. Introduction
2. Previous Works
3. Strategies of Encoding Documents
4. Text Categorization Systems
5. Experiment Results
6. Conclusion
7. Literatures
참고문헌 (12)
참고문헌 신청
1. [학술대회논문] - Androutsopoulos, K. Koutsias / 2000 / An Experimental Comparison of Naïve Bayes and Keyword-based Anti-spam Filtering with personal email message / The Proceedings of 23rd ACM SIGIR : 160 ~ 167
2. [학술지(정기간행물)] - M.Hearst / 1998 / Support Vector Machines / IEEE Intelligent Systems 13 (4) : 18 ~ 28
3. [단행본] - P. Jackson / 2002 / Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization / John Benjamins Publishing Company
4. [학술대회논문] - T.Joachims / 1998 / Text Categorization with Support Vector Machines: Learning with many Relevant Features / The Proceedings of 10th European Conference on Machine Learning : 143 ~ 151
5. [학술지(정기간행물)] - H. Lodhi / 2002 / Text Classification with String Kernels / Journal of Machine Learning Research 25 (2) : 419 ~ 444
2. [학술지(정기간행물)] - M.Hearst / 1998 / Support Vector Machines / IEEE Intelligent Systems 13 (4) : 18 ~ 28
3. [단행본] - P. Jackson / 2002 / Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization / John Benjamins Publishing Company
4. [학술대회논문] - T.Joachims / 1998 / Text Categorization with Support Vector Machines: Learning with many Relevant Features / The Proceedings of 10th European Conference on Machine Learning : 143 ~ 151
5. [학술지(정기간행물)] - H. Lodhi / 2002 / Text Classification with String Kernels / Journal of Machine Learning Research 25 (2) : 419 ~ 444
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UCI(KEPA) : I410-ECN-0101-2009-028-015010550