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。
No matter what algorithm is selected, it can make up insufficient of current categorization deficient semantic relation to some extent. Enhance the document classification accuracy.
无论采取哪种算法，都可以在一定程度上弥补当前分类系统缺乏语义联系的不足，提高文本分类的准确性。
Ontology is a description between the conception and the relation. The document categorization based on ontology is based upon the level of knowledge and semantic relations categorization indeed.
本体就是对概念和关系的描述，基于本体的文本分类就是基于知识层面和语义层次上的分类。
This paper presents a new algorithm using title category semantic recognition for text categorization.
本文提出了一种基于标题类别语义识别的文本分类算法。
Then through categorization, we find that external causation and spontaneous occurrence codetermine the semantic properties of English ergative pairs.
通过分类与辨析，本文发现外部致使和自发产生是共同决定作格动词的语义特性。
The second part goes on to introduce the adopted cognitive semantic theories including the theory of categorization, metaphor and metonymy.
第二部分介绍本研究的的理论基础，其中包括范畴化，隐喻和转喻，认知语法和着眼点及核心概念。
The second part goes on to introduce the adopted cognitive semantic theories including the theory of categorization, metaphor and metonymy.
第二部分介绍本研究的的理论基础，其中包括范畴化，隐喻和转喻，认知语法和着眼点及核心概念。
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