其他方式依赖于自动文本分类技术。
本文提出了一种新的文本分类方法。
In this paper, we present a novel text classification method.
本文将BVM应用于文本分类。
文本预处理是文本分类的瓶颈。
Text preprocessing is the bottleneck of text classification.
该方法也可以用于文本分类策略的评价。
This method is also good for strategy evaluation of text classification.
SVM文本分类的机器学习教程？我如何开始？
SVM for text classification - tutorial on machine learning? How do I get started?
本文就中文自动文本分类系统进行了一些研究。
This paper presents some research on automatic Chinese text categorization system (CATCS).
文章提出了一种基于粗糙集理论的文本分类方法。
This paper presents a rough set theory based on the text classification.
文本分类成为众所关注但仍未很好解决的热门课题。
The text categorization has become a hot research subject which has attracted a lot of attention but still not solved well.
文本分类，是一种对文档进行自动标记类别的技术。
Text Categorization(TC) is a technique of assigning a document into predefined class.
构建一个分类准确的文本分类器是文本分类的关键。
Constructing an effective text classifier plays a key role in text categorization.
文本分类和文本聚类是信息处理中的两个重要工作。
Text classification and cluster are two important missions of information processing.
结合文本分类规则抽取的特点，给出了近似规则的定义。
The definition of proximate rule was proposed based on the characteristic of text classification rule extraction.
在中文文本分类实验中，可以达到83%的BE P值。
In the experiment of classifying Chinese documents, it is BEP value is about 83%.
该动态文本分类器能对用户输入的文本流进行动态分类。
The dynamic text classifier can categorize the user input stream of Chinese text dynamically.
文本分类是指根据文本的内容自动确定文本类别的过程。
Text classification on the basis of the contents of the text refers to the text category automatically.
对于文本分类的核心训练算法，给出主要步骤的推导过程；
The main deducing steps are presented in the core-training algorithm of text categorization.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
对KNN文本分类算法的理论研究和实际应用起了指导作用。
It plays an instructional role in academic study and practical application of KNN text classification algorithm.
文本分类中特征空间的高维问题是文本分类的主要障碍之一。
High dimensionality is one of the main problems in text categorization.
文档向量化的质量对于文本分类的速度和准确度有着很大的影响。
The vectorization of documents affects the speed and accuracy of text categorization greatly.
研究哈萨克语自动文本分类，并实现哈萨克语文本自动分类系统。
Researches on automatic text classification in Kazakh and develops a system of automatic text classification for Kazakh.
本文使用机器学习理论，讨论了用文本分类的方法来过滤垃圾邮件。
In this article we discussed filter spam methods using text categorization technologies in machine learning fields.
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。
Various text classification methodologies may yield different types of "models," or statistical descriptions of the world.
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。
Effective dimensionality reduction could make the learning task more efficient and more accurate in text classification.
文本分类是数据挖掘的重要课题，它是获取信息资源的重要方式之一。
Text categorization is an important task in Data Mining, and it is an important way for getting information.
在文本分类的类别数量庞大的情况下，层次分类是一种有效的分类途径。
On large amount conditions of text quantity, hierarchical text categorization was an effective approach.
在自动文本分类系统中，特征选择是有效降低文本向量维数的一种方法。
Feature selection is a valid method to reduce the dimension of text vector in automatic text categorization system.
第二、建立文本分类模型，使用大量的有害信息样本数据训练分类模型。
Secondly, Building text categorization model, and training the model by a great many harmful information samples data.
第二、建立文本分类模型，使用大量的有害信息样本数据训练分类模型。
Secondly, Building text categorization model, and training the model by a great many harmful information samples data.
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