其他方式依赖于自动文本分类技术。
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).
自动文本分类是提高信息利用效率和质量的有效方法。
Automatic text categorization is an effective method to increase efficiency and quality of information utilization.
电子文档的飞速增长为自动文本分类提供了巨大的机遇和挑战。
The rapid growth in the amount of electronic documents brings both great opportunities and real challenges for automatic text classification.
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.
基于人工智能技术的自动文本分类是有效利用电子化文本数据的基础。
Automatic text categorization, which is based on artificial intelligence technology, is the base of how to effectively utilize e-form text data.
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.
本文在国家科学数字图书馆的应用背景下，研究基于统计的自动文本分类方法。
This article studies the statistical automatic text classification methods in the National Science Digital Library.
自动文本分类就是在给定的分类体系下，让计算机根据文本的内容确定与它相关联的类别。
Automatic text categorization is the assigning of pre - defined category to a new text based on its content.
自动文本分类技术就是对大量的自然语言文本按照一定的主题类别进行自动分类，它是自然语言处理的一个十分重要的问题。
Automatical text Categorization is categorizing natural language texts according to given topics, which is a very important problem in natural language processing field.
此外，本文还研究了基于向量空间模型的自动文本分类方法，提出了一个新的词权重计算方法，该方法有效提高了分类精度。
In addition, a text classification system based on Vector Space Model is studied and a new method for calculating word weight is proposed.
为了让集合使用自动分类器，需要将集合与新的文本分析引擎关联起来。
To have the collection use the auto-classifier, it needs to be associated with the new text analysis engine.
文本倾向性识别在信息过滤、自动文摘、文本分类等领域有广泛的应用前景。
Text orientation recognition has broad application in some field such as information filtering, automatic abstracting and text classification.
文本分类是数据挖掘领域中重要分支之一，其任务是对未知类别的文本进行自动处理，判断它们所属的预定义类别集合中的类别。
Text classification is an important branch in data mining filed, which is responsible for automatically dealing with those class-unknown texts and judging which pre-defined class sets they reside in.
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.
提出一种基于改进的分类模型的文本分类系统来实现文本的自动分类。
A text classification system based on improved classification model presented in this paper is used to realize automatic text classification.
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.
在文本分类方面，本文提出了一种基于聚类和粗糙集理论相结合的文本自动分类方法。
In text classification, we advance an automatic text classification way based on clustering and Rough Set Theory.
文本分类的方法包括人工分类和自动分类。
Text classification include manual method and automatic method.
文本分类是指在给定的分类体系下，根据文本的内容自动地确定文本所属的类别。
Text Categorization means under a defined classifying system, texts are classified automatically according to the contents.
文本的自动分类是在对文本内容分析的基础上把文本分配给一个或多个预定的类别。
Text automatic classification is a technology which is to assign text to one or more scheduled category based on analyzing text content.
文本分类是指在给定分类体系下，根据文本的内容自动确定文本类型的过程。
Text categorization is defined as the task of assigning pre-defined category label to a new text.
同时，语义褒贬倾向研究也为文本分类、自动文摘、文本过滤等自然语言处理的研究提供了新的思路和手段。
Semantic orientation inference has become a meaningful tool, which could provide useful information for text classification, summarization, filtering etc.
摘要：作战数据库文件与记录的文本格式涉及到作战文书的自动生成，文本分类直接关系到情报信息检索效率及准确性。
Absrtact: Files and records of text format for battle database are important, it relates to automatic generating of operation document, and text classification relates to efficiency and accurate rate.
而且使用基于本体的短文本分类方法，无须训练样本，可以通过本体获得语义信息并结合相似性计算来实现对短文本的自动分类。
Without training samples when using this method, we can get semantic information of ontology and combine the similarity calculations to achieve the short-text classification.
本文将粗糙集理论应用于文本自动分类的规则提取，提出了基于粗糙集理论的文本分类方法。
In this paper, a method of text categorization based on rough set theory is presented. RST is applied to rules' extraction of the text categorization.
本文将粗糙集理论应用于文本自动分类的规则提取，提出了基于粗糙集理论的文本分类方法。
In this paper, a method of text categorization based on rough set theory is presented. RST is applied to rules' extraction of the text categorization.
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