###
DOI:
计算机系统应用英文版:2012,21(1):21-24
本文二维码信息
码上扫一扫!
基于文本分类的林业Web黄页分类系统
(1.北京林业大学 信息学院, 北京 100083;2.新疆农业大学 计算机与信息工程学院, 乌鲁木齐 830001)
Forestry Web Yellow Page Category System Based on Text Classification
(1.Information Science and Technology College, Beijing Forestry University, Beijing 100083, China;2.Computer and Information Science Department, Xinjiang Agriculture University, Urumqi, 830001, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1862次   下载 2838
Received:April 26, 2011    Revised:May 30, 2011
中文摘要: 将文本分类技术应用于林业Web黄页的分类,实现了林业Web黄页信息的高效应用和管理。讨论了林业Web黄页多层次分类体系,并给出了分类系统的设计方案和关键技术,详细介绍了类别区分词特征选择算法。实验结果具有较好的准确率和查全率。
Abstract:The paper employs text classification technology to forestry Web yellow page field, and realizes a high application and management in forestry Web yellow page information. The paper also Discusses a multi-level text classification system, which provides the design and the key technologies of category system as well as the feature selection of category discriminating. The system shows good precision and recall ratio.
文章编号:     中图分类号:    文献标志码:
基金项目:
引用文本:
王欢,武刚,杨抒.基于文本分类的林业Web黄页分类系统.计算机系统应用,2012,21(1):21-24
WANG Huan,WU Gang,YANG Shu.Forestry Web Yellow Page Category System Based on Text Classification.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):21-24