A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
Relatively very great limitation carried on technological innovation policy under the new classical economic model. So this text was carried on under the frame of Comparative Institutional Analysis.
在新古典经济模型下进行技术创新政策的比较具有很大的局限性，因此本文是在比较制度分析的框架下进行的。
Analysis on the relationship between the text description of MCNP neutronics model and the CSG shows that the conversion from CSG to CAD model is the key issue of the visualization.
通过分析mcnp中子学模型文本描述和构造立体几何表示法的关系，指出从构造立体几何表示法到CAD模型的转换是MCNP中子学模型可视化的关键所在。
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