烟台大学学报（自然科学与工程版）2012，Vol.25Issue(2)：122-126,5.
中文评教文本分类模型的研究
Research of Classification Model for Chinese Evaluation Text of Teaching
摘要
Abstract
As a necessary complement, the emotional tendency of subjective evaluation information in the current teaching evaluation system is mined by text classification method in order to effectively utilize information of subjective evaluation. Latent semantic analysis (LSA) is adopted to reduce the dimensionality of text, and support vector machine (SVM) is used to classify the target text. Some factors of classification model, such as feature selection and extraction methods, the reduced dimension, the effect of part of speech on classification accuracy, and the ratio of training sample set to test set, are analyzed and a sound classification model is found.关键词
中文文本分类/支持向量机/潜在语义分析Key words
Chinese text classify/ SVM/ LSA分类
信息技术与安全科学引用本文复制引用
谭征,孙红霞,王立宏,潘庆先..中文评教文本分类模型的研究[J].烟台大学学报（自然科学与工程版）,2012,25(2):122-126,5.基金项目
山东省自然科学基金资助项目(2009ZRB019CE). （2009ZRB019CE）
