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classification of text
相关语句
  文本分类
     Based on large numbers of train examples, we adopt learning from examples approach which implement produce rules by using extended OCAT algorithm to realize classification of text.
     我们采用实例学习方法,在大量训练实例的基础上,将改进的用于逻辑规则提取的OCAT挖掘算法用于文本分类规则的提取,分别产生针对正例集和反例集的识别规则,对文本进行二分分类。
短句来源
     The classification of text is base and center of text's mining. As thehotspot of data mining and net mining in the recent years, it plays an importantroles in many place ,such as in the foundation of traditional informationretrieval、net-index system structure and retrieval of Web information and soon.
     文本分类是文本挖掘的基础与核心,是近年来数据挖掘和网络挖掘的一个研究热点,在传统的情报检索、网站索引体系结构的建立和Web信息检索等方面占有重要地位。
短句来源
     In this task, at first we did some work on common method of the keyproblems about the classification of text, at the same time, we expatiate thekernel technique and system structure of test-class system, and give thedescriptions of application of text classifications by the way.
     本文首先对当前文本分类领域几个关键问题的常用方法进行了研究,同时阐述了典型文本分类系统的核心技术和系统结构,对文本分类的应用范围进行了描述。
短句来源
     The classification of text is the basic work of information retrieval ,whose task is to decide the category which an article belongs to by its description, and the pre-defined category standard, so that it can improve the speed and precision of information retrieval.
     文本分类是情报检索的基础性工作,它的任务是在给定的分类体系下,根据分类的文本所描述的内容,来确定该文本所属的类别,从而提高信息检索的速度和准确度。
短句来源
     A central problem in information retrieval is the automated classification of text documents.
     信息检索的一个核心问题是自动文本分类
短句来源
  “classification of text”译为未确定词的双语例句
     Automatic classification of text is applied in many fields.
     文本的自动分类有着广泛的应用。
短句来源
     In this paper,m classification method in fuzzy mathematics is studied and is applied to automatic classification of text.
     本文研究了模糊数学中的M 分类法,并将该方法应用于文本的自动分类。
短句来源
     Concrete steps of automatic fuzzy classification of text are illuminated,and algorithm of automatic fuzzy classification of text is given in detail.
     文中描述了文本自动模糊分类的具体步骤,同时给出了实现文本自动模糊分类的详细算法
短句来源
     Topic Classification of Text
     语篇主题类别
短句来源
     This paper analyzes topic classification of text including primary topic and non-primary topic, central topic and non-central topic,background topic and non-background topic, branch central topic and edge branch topic as well as correlative topic.
     分析基本主题和非基本主题、中心主题和非中心主题、背景主题和非背景主题、分支中心主题和边缘分支主题以及相关主题等语篇主题类别。
短句来源
  相似匹配句对
     AUTOMATED TEXT CLASSIFICATION
     文本的自动分类
短句来源
     In text classification,tf.
     在文本分类实验中 ,tf.
短句来源
     Topic Classification of Text
     语篇主题类别
短句来源
     ·classification.
     ①对地震层析成像方法进行分类.
短句来源
     Algorithm of Text Classification and Its Application
     文本分类算法及其应用研究
短句来源
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  classification of text
Text typing is the classification of text according to the purpose of the author.
      
We chose PAD for our system because this model has robustness implications for the affective classification of text.
      
The databases were searched for documents on automated classification of text, using a variety of search terms.
      
Previous research mainly concentrated on applying co-training for classification of text documents.
      
Our system integrates a set of built or customized components for retrieval and classification of text documents.
      
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Chinese word has its own usage frequency rule in the text, slightly different from English word.According to the classification of text, this paper proposed the set-based approach on Chinese word index.Following the results of some experimenis on comparing with the single-value method, the set-based method can reduce index space and accelerate retrieve speed, its efficiency can be enhanced later.In this paper, an analytical model was established for study purpose.

根据汉字在文献中使用的频度和分布规律,利用图书分类的原则,提出了基于汉字在成组(连续索引号)文献中出现的集合索引方案。与基于单值表达的常规索引方案作了比较,并对一类短语料进行了实验,给出了部分比较结果以及索引调整的一些分析结果。模拟图书分类中汉字非均匀分布的特点,从理论上分析文献索引各参量间的关系。分析表明,集合索引法与单值表达索引相比,能够显著提高素引效率,减少索引空间,还可进行随机动态调整。

This paper analyzes topic classification of text including primary topic and non-primary topic, central topic and non-central topic,background topic and non-background topic, branch central topic and edge branch topic as well as correlative topic.

分析基本主题和非基本主题、中心主题和非中心主题、背景主题和非背景主题、分支中心主题和边缘分支主题以及相关主题等语篇主题类别。

Automatic classification of text is applied in many fields.In this paper,m classification method in fuzzy mathematics is studied and is applied to automatic classification of text.Concrete steps of automatic fuzzy classification of text are illuminated,and algorithm of automatic fuzzy classification of text is given in detail.

文本的自动分类有着广泛的应用。本文研究了模糊数学中的M 分类法,并将该方法应用于文本的自动分类。文中描述了文本自动模糊分类的具体步骤,同时给出了实现文本自动模糊分类的详细算法

 
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