计算机与现代化Issue(7)：192-194,198,4.DOI:10.3969/j.issn.1006-2475.2011.07.053
基于BP神经网络的旅游突发事件文本分类系统的设计与实现
Design and Implementation of Tourism Events Text Classification System Based on BP-NN
刘新生 1厉锟2
作者信息
- 1. 十堰市高级技工学校,湖北,十堰,442200
- 2. 风凰新媒体公司技术中心,北京,100029
- 折叠
摘要
Abstract
To mine the interrelated information from tourism events searched from the Internet, it needs to do text classification job for tourism event texts. This paper finishes the classification job by using ICTCLAS to segment texts, improves IC algorithm to extract features, BPNN algorithm to build the classification system. The final effect is satisfactory.关键词
文本分类/信息增益/BP神经网络Key words
text classification/ IG/ BP-NN分类
信息技术与安全科学引用本文复制引用
刘新生,厉锟..基于BP神经网络的旅游突发事件文本分类系统的设计与实现[J].计算机与现代化,2011,(7):192-194,198,4.
