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
Link To Document :
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