求翻译啊,亲。谢谢http://zhidao.baidu.com/question/982403422277499259...
发布网友
发布时间：2024-09-05 06:37
共2个回答
热心网友
时间：2024-10-02 20:30
nydyjfpwa | 12分钟前 | 分享
随着互联网时代的到来，网站论坛成为了网络沟通的一种重要方式。在网站论坛上可以自由的发表自己的意见，因此评论中也产生了许多的垃圾信息。垃圾信息的过滤不仅对于用户浏览体验有很大的提高，也为对于信息采集、分析上有非常重要的作用。利用面向对象分析技术对网站论坛进行需求分析和概要设计，最后使用J2EE技术实现网站论坛并且进行系统测试，最终完成网站论坛的设计与开发。对评论中垃圾信息进行实时过滤进行研究，提出使用基于数字与内容相结合进行初步过滤，再进行基于聚类算法与基于LEOF算法进行深度过滤的评论实时过滤技术。使用机锋论坛上的帖子和评论进行评论过滤测试，评论的实时过滤技术得到实时过滤准确率达0.6，在实时过滤上取得一定的效果。
网络译文：
With the advent of the Internet era, the website forum has become an important way of network communication. Forum on the site are free to express their views, so comments also generated a lot of spam. Spam filtering not only for the user browsing experience is greatly improved, but also for the information collection, has a very important role in the analysis. Analysis of the website forum needs analysis and preliminary design, final site using J2EE technology forum and system testing, the final completion of the design and development using object-oriented website forum. For comments spam filtering, real-time study proposes the use of digital content based on the combination of a preliminary filter, and then based on clustering algorithms and algorithms based LEOF depth filtration comments real-time filtering technology. Use Eloquent forum posts and comments on the comment filter testing, real-time filtering technology has been reviewed real-time filtering accuracy rate of 0.6, and achieved certain results in real-time filtering.
热心网友
时间：2024-10-02 20:30
With the coming of the internet era, the forum on website becomes an important way of communication. At the website forum, one can publish his opinion freely. Thus, it brings also a lot of junk infomation. The filtering of junk information will not only improve the users' experience of browsing, but also play an important role of information collecting and analyzing. Therefore, we need to study how to do the real time filtering of the comments in the forum. Through constructing the website forum system by using object-facing analysis technology, adopting of combining number of words and contents, clustering and LEOF algorithm, the comments can be filtered in real time mode. We achieved a real time filtering accurate rate of 0.6 and have certain effect in the area of real time filtering.
