CAJ | 학술논문

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。
신식획취이성위약상경영활동적중요조성부분화시장판단의거，망락대량비결구화、반결구화신식적출현위약상개성화복무제공료기술공간화실증의거。문장통과대개성화복무중문본알굴적관건기술진행설계，병응용료중약재신식망참문본알굴류정，파문본알굴기술응용우중약재신식망참적용호흥취획취실례중，실현용호흥취적자동획취공능。
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.