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Web文本挖掘在药商兴趣提取中的应用
引用本文:孙士新.Web文本挖掘在药商兴趣提取中的应用[J].邵阳学院学报(自然科学版),2014(3):20-26.
作者姓名:孙士新
作者单位:[1]亳州职业技术学院信息工程系,安徽亳州236800; [2]北京师范大学职业与成人教育研究所,北京100875
基金项目:安徽省高校优秀青年人才基金项目(2012SQRL248);安徽省教育厅质量工程教学研究项目(2012jyxm710)
摘    要:信息获取已成为药商经营活动的重要组成部分和市场判断依据,网络大量非结构化、半结构化信息的出现为药商个性化服务提供了技术空间和实证依据.文章通过对个性化服务中文本挖掘的关键技术进行设计,并应用了中药材信息网站文本挖掘流程,把文本挖掘技术应用于中药材信息网站的用户兴趣获取实例中,实现用户兴趣的自动获取功能.

关 键 词:信息获取  药商  文本挖掘  用户兴趣获取

The Application of the Web Text Mining in the Druggist Interest Extraction
SUN Shi-xin.The Application of the Web Text Mining in the Druggist Interest Extraction[J].Journal of Shaoyang University:Science and Technology,2014(3):20-26.
Authors:SUN Shi-xin
Institution:SUN Shi-xin ( 1. Department of Information Engineering, Bozhou Vocational and Technical College, Bozhou, Anhui 236800, China; 2. Institute of Vocational and Adult Education, Beijing Normal University, Beijing 100875, China)
Abstract:The information attainment has become the important component of the druggist's business operation and the market judgment basis. The appearance of the largely unstructured and semi-structured network has provided the technology space and the demonstration basis for the druggist's individual service. Through the critical technology of the text mining in individual service,the paper,combining the Traditional Chinese Medicinal Materials information website,has actually applied the text mining process, and applies the text mining technology to the example of the user's interest attainment about the Traditional Chinese Medicinal Materials information website.
Keywords:information attainment  the druggist  the text mining  the user&#39  s interest attainment
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