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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제4권 제2호
- 발행연도
- 2008.1
- 수록면
- 77 - 86 (10page)
이용수
초록· 키워드
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This research proposes a new neural network for text categorization which uses alternative representations of documents to numerical vectors. Since the proposed neural network is intended originally only for text categorization, it is called NTC (Neural Text Categorizer) in this research. Numerical vectors representing documents for tasks of text mining have inherently two main problems: huge dimensionality and sparse distribution. Although many various feature selection methods are developed to address the first problem, the reduced dimension remains still large. If the dimension is reduced excessively by a feature selection method, robustness of text categorization is degraded. Even if SVM (Support Vector Machine) is tolerable to huge dimensionality, it is not so to the second problem. The goal of this research is to address the two problems at same time by proposing a new representation of documents and a new neural network using the representation for its input vector.
목차
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참고문헌 (21)
참고문헌 신청
Androutsopoulos, K. Koutsias / 2000 / An Experimental Comparison of Naive Bayes and Keyword-based Anti-spam Filtering with personal email message / The Proceedings of 23rd ACM SIGI
B. Massand / 1992 / Classifying News Stories using Memory based Reasoning / The Proceedings of 15th ACM International Conference on Research and Development in Information Retriev
D. Mladenic / 1999 / Feature Selection for unbalanced class distribution and Naive Bayes / The Proceedings of International Conference on Machine Learning : 256 ~ 267
E. D. Wiener / 1995 / Neural Network Approach to Topic Spotting in Text / 석사 / University of Colorado
F. Sebastiani / 2002 / Machine Learning in Automated Text Categorization / ACM Computing Survey 34 (1) : 1 ~ 47
B. Massand / 1992 / Classifying News Stories using Memory based Reasoning / The Proceedings of 15th ACM International Conference on Research and Development in Information Retriev
D. Mladenic / 1999 / Feature Selection for unbalanced class distribution and Naive Bayes / The Proceedings of International Conference on Machine Learning : 256 ~ 267
E. D. Wiener / 1995 / Neural Network Approach to Topic Spotting in Text / 석사 / University of Colorado
F. Sebastiani / 2002 / Machine Learning in Automated Text Categorization / ACM Computing Survey 34 (1) : 1 ~ 47
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