원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.10 No.9
2016.09
pp.45-54
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper puts forward text filtering system based on SVM algorithm regarding to the problem that bad and sensitive information of user tag that may exist in the collaborative geographic information plotting system. Then further improvement has been made towards the TF-IDF for feature extraction and thus achieved the function that automatically blocks the bad and sensitive information marked by users.
목차
Abstract
1. Introduction
2. Text Classification
2.1. Word Segmentation
2.2. χ2 Statistics
2.3. Modified TF-IDF Algorithm
3. Support Vector Machine Theory
3.1. Nonlinear SVM (Support Vector Machine)
4. Experiment and Results
Acknowledgements
References
1. Introduction
2. Text Classification
2.1. Word Segmentation
2.2. χ2 Statistics
2.3. Modified TF-IDF Algorithm
3. Support Vector Machine Theory
3.1. Nonlinear SVM (Support Vector Machine)
4. Experiment and Results
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보