This paper mainly focus on the text classification algorithms.
本文研究文本的自动分类算法。
The experiment result shows this concept mapping method and the text classification based on concept can distinctively improve text classification precision.
实验结果表明，基于类别核心词的概念映射方法及相应的基于概念的文本分类能够有效提高文本分类的精度。
The idea is to extract the core words of class first, then use HowNet to map key words space to concept space based on core words, finally finish the text classification pr.
在此提出一种基于类别核心词的概念映射方法，首先从文本中抽取类别核心词，借助《知网》将特征词映射到基于类别核心词的概念空间，然后在概念空间上完成文本分类工作。
Various text classification methodologies may yield different types of "models," or statistical descriptions of the world.
各种文本分类方法可以生成不同类型的 “模型”，即对真实环境的统计学描述。
This name must be used again in the Classification Workbench, where you have to choose a field that contains the document text of your training data.
在ClassificationWorkbench中选择包含训练数据文档文本的字段的地方，必须同样使用这个名称。
Icons are useful for allowing quick classification, but beyond that, we need text to tell us exactly what the object is for.
图标对快速分类有用，但除此以外，还需要文本告诉我们对象的确切用途是什么。
Effective dimensionality reduction could make the learning task more efficient and more accurate in text classification.
在文本分类中，有效的维数约简可以提高学习任务的效率和分类性能。
The text makes the further study on explaining the classification of principle from the insurance contract, applying a rank and the doubt benefits to explain the principle to apply aspect.
本文从保险合同解释原则的分类、适用位阶以及疑义利益解释原则的适用方面作了进一步探讨。
One method of managing the texts efficiently is to classify them, namely, the problem of text Classification.
对文本进行有效管理的方法之一，就是将它们进行系统地分类，即文本自动分类问题。
Text classification is helpful for user to read and handle vast amounts of texts selectively, whose preliminary work-the research of word segmentation is significative.
文本分类有助于用户有选择地阅读和处理海量文本，因此其预备工作分词系统的研究是很有意义的。
Therefore it adjusts to human's mode of thinking and further improves the efficiency, correctness and reliability of text classification.
更符合人类的思维方式，从而进一步提高了文本分类的效率、准确性和可靠性。
This article aims to improve the algorithm of term weighting in automated text classification.
文章研究并改进了文本自动分类中的特征权重算法。
Text classification on the basis of the contents of the text refers to the text category automatically.
文本分类是指根据文本的内容自动确定文本类别的过程。
The definition of proximate rule was proposed based on the characteristic of text classification rule extraction.
结合文本分类规则抽取的特点，给出了近似规则的定义。
The study of this text emphasizes on the application of knowledge discovery in the classification of textual records on the customer service in the communication industry.
本文的研究着重于知识发现在通信行业客户服务文本记录分类这一问题的应用上。
Text preprocessing is the bottleneck of text classification.
文本预处理是文本分类的瓶颈。
The rapid growth of text information of the Internet brings forward new standards and challenges for text classification with respect to accuracy and speed.
因特网上的文本信息的爆炸式增长给文本分类的精度与速度提出了新的标准与挑战。
The major viewpoint of Newmark′s translation theory is the classification of text type into three categories and the original notion of semantic translation, communicative translation.
纽马克的翻译理论中最主要观点是将翻译文本类型进行分类，并提出了语义翻译、交际翻译的概念。
Recent years, support vector machine has obtained great success in the fields of handwriting identification, human face identification, text classification and so on.
近年来，支持向量机在手写体识别、人脸识别、文本分类等领域取得了很大的成功。
The traditional text classifications are mostly based on the vectorial space, and the structure of classification is flat structure.
传统的文本分类大多基于向量空间，分类体系为甲面体系，忽视了类别间的层次关系。
It gets rid of the part that is not important according to the text characteristics and improves the speed of classification by using title and heading as source of reference.
其中根据文本特点，摒除信息量小的部分，将标题、首部等作为标引源，提高了分类速度。
Recently, for the study of Text Automatic classification technology, researchers mostly focus on the exploration and improvement of different classification algorithms.
目前，对于文本分类技术的研究，大多数研究者的精力主要放在各种不同分类方法的探索与改进上。
The research can be applied in information retrieval, information filtering, text classification, webpage classification, etc.
该研究可应用于信息检索、信息过滤、文本自动分类、网页自动分类等应用领域。
Based on DragPush strategy, the paper introduces a text classification incremental learning model, named ICCDP.
基于拉推策略的基本思想，该文提出了文本分类的增量学习模型ICCDP。
Text classification can help users selectively process huge volumes of texts in the Internet. Text title classification based on example texts is presented in this paper.
文本分类有助于用户有选择地阅读和处理海量文本，给出了基于示例的文本标题分类机制。
A feed forward neural network (FFNN) for the corner classification 4 (CC4) can instantaneously classify text data.
角分类前向神经网络CC4可以快速对文本数据进行分类处理。
This paper gives details to the research on the theory and practice of the text automatic classification using the statistical method.
本文主要是应用统计的方法对文本自动分类进行理论和实践的探讨。
The experiment result represents that it can improve the precision and performance of text classification efficiently.
结果表明，该方法可以有效提高文本分类的精度和效能。
The word which is not splitted can get better result of text classification than the splitted word.
同时对哈萨克语单词切分和未切分进行分类对比。得出未切分单词可以得出更好的分类效果。
The word which is not splitted can get better result of text classification than the splitted word.
同时对哈萨克语单词切分和未切分进行分类对比。得出未切分单词可以得出更好的分类效果。
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