针对这种情况，本文提出了面向个人情境兴趣的文本信息过滤系统。
In order to dealing with the problem, this paper presents a text information filtering system which orients situational interest.
过滤程序引用特定的规范区分可翻译文本和格式化信息。
Filter programs use certain specifications as reference to distinguish between translatable text and formatting information.
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.
目前网络信息审计系统大多基于文本信息的过滤，但不良信息的提供者将不良信息嵌入到图像或直接以图像文件，绕过监控。
At present, network information audit system is almost based on text information filtering, but badness information is embedded into image or image file directly by badness information provider.
搜索引擎和文本过滤技术都是为了帮助用户快速、准确地获取用户需求的信息。
Search engine and text filtering technique are all used to help users to gain information they need quickly and precisely.
文本倾向性识别在垃圾邮件过滤、信息安全和自动文摘等领域都有广泛的应用。
At the fields of spam filtering, information security and Automatic Abstracting, text orientation identification is used widely.
文本倾向性识别在垃圾邮件过滤、信息安全和自动文摘等领域都有广泛的应用。
At the fields of spam filtering, information security and automatic summarizations, text orientation identification is used widely.
在定义文法的基础上，基于状态转换方法，给出了一种不良信息文本过滤模型。
After grammatical rules are defined, a method of the state conversion is founded. Based on it, a model of filtering bad text information is presented.
为了实现该类信息的内容安全监控，论文主要研究了采用概念网技术来实现对短信息中不良文本的过滤。
In order to work efficiently on the information security, the paper mainly concerns on filtering the documents of the short messages by applying the concept space technology.
互联网中的不法分子为了逃避安全过滤，将不良信息中的文本进行变形，并在在网络中散布。
In order to prevent the spread of the ill metamorphosed texts in Internet which escapes from the traditional security filtering, a security identification method is presented.
基于WWW的主要信息过滤对象是网页，其中文本是网页信息的主要表达方式。
The main object of WWW based information filtering is webpage, the most important expression means of which is text.
本文对文本分类和信息过滤技术进行了研究，提出了一种多特征选择方法。
Research on text categorization and information filtering are being done, Multiple Feature Selection Method is presented.
该研究可应用于网络信息检索、信息过滤、中文文本自动分类、中文网页自动分类等应用领域。
This study can be used in network information retrieve, information filter, Chinese text automatic classification, Chinese web page automatic classification and other application fields.
本文设计并实现了一个面向信息内容安全的汉语文本过滤器。
In this paper, a content security oriented filtering system is designed and implemented.
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。
The research can be applied in information retrieval, information filtering, text classification, webpage classification, etc.
文中设计的智能网页信息过滤系统名为AIFS，是基于内容理解的中文文本网页的主题探测和过滤。
We designed a system named AIFS as an experiment, which sniffs and filters certain theme knowledge of Chinese webpage through text processing.
由于网络上的信息以文本为主，因此文本信息的过滤就成为应用的焦点。
Text filtering becomes the focus of information filtering research, for the mass of on-line information is in the form of text.
文本自动分类在文献检索、信息过滤和文本管理等领域中有着广泛的应用。
Text automatic classification is widely applied in paper index, message filter, text management and etc.
文本聚类在信息过滤，网页分类中有着很好的应用。但它面临数据量大，特征维度高的难点。
Document clustering had been employed in information filtering, web page classification and so on.
文本聚类是文本处理的重要研究领域，对于互联网舆情监管、信息获取、信息过滤等信息内容安全领域的研究具有重要意义。
Texts clustering, an important field in texts processing, has great significance on research of network supervision and control, information filter and retrieval, etc.
本文在研究网络信息审计技术和文本过滤技术的基础上，设计并实现了一个基于网络信息审计的网页文本过滤系统。
On the research of network information audit techniques and text filtering, this paper designs and implements a Web text filtering system based on network information audit.
文本分类在文献检索、信息过滤、数据组织、信息管理等领域中应用十分广泛。
Text classification is widely applied in many fields, such as text retrieval, information filter, data organization, information management and etc.
本文在粗糙集理论的背景知识下，对于文本的粗糙集表承模型和基于此模型下的聚类在信息过滤系统中的应用，进行了深入的研究。
With the rough set theory as background, this paper has studied deeply the rough set representation model and the clustering based on this model.
在定义文法的基础上，基于状态转换方法，给出了一种不良信息文本过滤模型。
After grammatical rules are defined, a method of the state conversion is founded.
在文本方面特征由于垃圾图像需要传递制造者的信息，通常会比正常图像包含有跟多的文字内容，同时为了阻碍过滤器对图像文字特征的提取通常会包含有混淆内容；
On the hand of text-based features, compare with normal image, spam image usually contains more than text and in order to prevent the text filter contain content obscuring;
抽取电子邮件和手机短信的多种文本特征，分别在TREC07P电子邮件语料和真实中文手机短信语料上进行了垃圾信息过滤实验。
Through multiple text features extraction from email and short message service (SMS) document, some spam filtering experiments are run on TREC07P email corpus and real Chinese SMS corpus separately.
抽取电子邮件和手机短信的多种文本特征，分别在TREC07P电子邮件语料和真实中文手机短信语料上进行了垃圾信息过滤实验。
Through multiple text features extraction from email and short message service (SMS) document, some spam filtering experiments are run on TREC07P email corpus and real Chinese SMS corpus separately.
应用推荐