With the rapid development of Internet technology, applications based on onlineand electronical texts have been populated and ubiquitous, including informationretrieval of Web news, spam email filtering based on content, sentiment analysis offorums, topic detection of blogs and so on.
随着信息技术的发展,基于在线文本和电子文本的应用得到广泛普及,包括网络新闻检索、基于内容的垃圾邮件过滤、论坛舆情分析和博客话题发现等在内的多个领域已与人们的生活密不可分。
参考来源 - 文本分类中特征选择技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Therefore, the research into new and efficient email filtering system still has particularly important practical significance.
所以，研究新型高效的邮件过滤系统仍具有特别重要的现实意义。
The system completes email filtering function, on the basis of document eigenvector pick-up technology of Chinese document information management.
系统利用中文文档信息处理中的文档特征向量提取技术，作为邮件过滤的依据。
Mainly introduced how to Create the Maximum Entropy Modeling and the principle and method of Realizing Spam Email Filtering based the Maximum Entropy Modeling.
主要介绍如何建立最大熵模型以及应用最大熵模型实现垃圾邮件过滤的基本原理和方法。
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