一种新的新闻信息处理模型  

A novel news information processing model

作　　者：李倩[1] 朱友芹[2] 王永县[1] 

机构地区：[1]清华大学经济管理学院,北京100084 [2]山东大众报业集团,山东济南250014

出　　处：《山东大学学报（理学版）》2005年第3期80-85,共6页Journal of Shandong University(Natural Science)

基　　金：山东省中青年科学家基金资助项目(03BS002)

摘　　要：借助于互联网的发展,及时获取新闻信息已不再困难,对用户来讲,更大的难度在于如何从大量“垃圾”数据中辨别、获取有价值的信息.从商务智能中获得启发,考虑到新闻信息的具体特性,提出了一种新的新闻信息处理模型.模型并不局限于特定技术,而是将信息搜寻处理作为整体进行研究,以用户满意度为中心,整合信息处理的各环节,提高新闻信息搜索的效率.介绍了模型的各组成部分及其相互关系,并阐述了其中涉及的关键支持技术———人工神经网络剪枝算法在文本分类中的具体应用和优势.One of the great challenges now most net searching engines meet is how to get valuable information from lots of data sets. Inorder to satisfy every user's special demand and learning from the idea of business intelligence, an information processing model is put forward to integrate the course of information searching and further processing. For optimization, artificial neural network (ANN) is chosen as a tool to find out the relationships between different keywords and paper categories, which are very crucial for selecting properand searching news information efficiently. A pruning method is illustrated to train ANN as well. Some original test results show that the processing model has great advantages in news searching efficiency over some other methods.

关 键 词：信息处理 人工神经网络 算法 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]