• DocumentCode
    3774110
  • Title

    Quality Evaluation of College Foreign Language Textbook Based on SVM

  • Author

    Liming Zhao

  • Author_Institution
    Xinjiang Yili Normal Univ., Ili, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    670
  • Lastpage
    673
  • Abstract
    Scientific evaluation on textbook is the key of quality evaluation construction of college foreign textbooks. It has practical value for compiling or implementing suitable textbooks. The evaluation of foreign textbooks should take into account actual effects and the fitness of textbook outline comprehensively. Therefore, this paper proposes a SVM-based textbook quality evaluation model. It provides the implementation idea for data mining, combining specific indicators of text quality evaluation, and integrates multi-classification of and partial binary tree with SVM. The experiments verify the data mining based on SVM is feasible and effective in college foreign textbook quality evaluation and classification.
  • Keywords
    "Support vector machines","Training","Binary trees","Classification algorithms","Data mining","Optimization","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICICTA.2015.170
  • Filename
    7473386