Earticle

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

키워드

저자

• Xiao-Lan Xie [ College of Information Science and Engineering, Guilin University Of Technology, Guilin ,Guangxi Zhuang Autonomous Region, China, Guilin University of Technology, Guangxi Key Laboratory of Spatial Information and Geomatics, China, ]
• Zhen Long [ College of Mechanical and Control Engineering, Guilin University Of Technology, Guilin, Guangxi Zhuang Autonomous Region, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605