Experimental results show that the semantic categorization knowledge is useful for improving the learning efficiency of the algorithm and accuracy of disambiguation.
实验结果表明语义范畴的引入有助于提高算法的学习效率和词义排歧的正确率。
To solve the problems mentioned before, semantic dictionary was led into the domain of text categorization.
为懂得决上述题纲，本文将语义词典引入到文本开类范畴。
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。
应用推荐