An optimal svm-based text classification algorithm

被引：0
|
作者：
Wang, Zi-Qiang [1 ]
Sun, Xia [1 ]
Zhang, De-Xian [1 ]
Li, Xin [1 ]
机构：
[1] Henan Univ Technol, Sch Informat & Engn, Zhengzhou 450052, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
基金：
中国国家自然科学基金;
关键词：
text classification; SVM; optimal strategies;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The goal of a text classification system is to determine whether a given document belongs to which of the predefined categories. An optimal SVM algorithm for text classification via multiple optimal strategies is proposed in this paper. The experimental results indicate that the proposed optimal classification algorithm yields much better performance than other conventional algorithms.
引用
收藏
页码：1378 / +
页数：2
相关论文
共 50 条
  • [41] A SVM-based classification approach for early warning systems
    Zhang, Guangquan
    Yang, Xiaowei
    Lu, Jie
    COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 549 - 554
  • [42] Spatial prior in SVM-based classification of brain images
    Cuingnet, Remi
    Chupin, Marie
    Benali, Habib
    Colliot, Olivier
    MEDICAL IMAGING 2010: COMPUTER - AIDED DIAGNOSIS, 2010, 7624
  • [43] SVM-based tumor classification with gene expression data
    Wang, Shulin
    Wang, Ji
    Chen, Huowang
    Zhang, Boyun
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 864 - 870
  • [44] Incremental Training for SVM-Based Classification with Keyword Adjusting
    SUN Jin-wen
    WuhanUniversityJournalofNaturalSciences, 2004, (05) : 805 - 811
  • [45] Research on Pattern Classification of SVM-based Gait Signal
    Yin, Jing
    ADVANCES IN APPLIED SCIENCE AND INDUSTRIAL TECHNOLOGY, PTS 1 AND 2, 2013, 798-799 : 526 - 529
  • [46] SVM-BASED TEXTURE CLASSIFICATION IN OPTICAL COHERENCE TOMOGRAPHY
    Anantrasirichai, N.
    Achim, Alin
    Morgan, James E.
    Erchova, Irina
    Nicholson, Lindsay
    2013 IEEE 10TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2013, : 1332 - 1335
  • [47] MultiBoost with SVM-based ensemble classification method and application
    Lü, Feng
    Li, Xiang
    Du, Wen-Xia
    Kongzhi yu Juece/Control and Decision, 2015, 30 (01): : 81 - 85
  • [48] A Supervised Local Linear Embedding Based SVM Text Classification Algorithm
    Li Youwen
    Xia Shixiong
    Zhou Yong
    2009 SIXTH WEB INFORMATION SYSTEMS AND APPLICATIONS CONFERENCE, PROCEEDINGS, 2009, : 21 - 26
  • [49] Research on Web Text Classification Algorithm Based on Improved CNN and SVM
    Wang, Zhiquan
    Qu, Zhiyi
    2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 1958 - 1961
  • [50] An improved web text classification algorithm based on SVM-KNN
    Cao, Jianfang
    Chen, Junjie
    ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 1305 - 1308
12345