earticle

논문검색

Implementation of Bad Information Filtering System Based on SVM Algorithm

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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.