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。

youdao

The theoretical analysis and experiments all show that the model not only is lower than trigram model in PP (perplexity), but also is superior to trigram model in dependence on test text domain.

理论分析和实验均表明：该模型不仅复杂度低于三元文法模型，而且对测试文本域的依赖性也优于前者。

youdao

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。

youdao

By using a discovery platform they were able to use a combination of SQL, text, statistics, and time-series analysis to get a more accurate customer churn prediction model.

FORBES: New Teradata Platform Reduces Demand For Data Scientists