计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 411-413.doi: 10.11896/j.issn.1002-137X.2017.11A.087
朱卫星,徐伟光,何红悦,李雯
ZHU Wei-xing, XU Wei-guang, HE Hong-yue and LI Wen
摘要： 文本数据是存储和交换信息最自然的方式,文本挖掘技术可以发现海量文本数据中隐藏的潜在知识模式。研究了文本数据主题挖掘与关联搜索技术,首先通过文本解析提取、分词预处理和索引等进行文本信息处理,然后利用基于潜在语义关系的主题发现模型挖掘大量文本数据中隐藏的主题信息,最后利用主题模型计算关键词间的关联程度进行查询扩展,从而实现关联搜索。实现了一个文本数据挖掘与关联搜索的原型系统,对Tancorp数据集进行主题发现和关联搜索,并以视化和网页同步显示关联搜索的过程。
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