An information retrieval model based on language concept space and a clustering method which serves the IR model is propsed.
提出了一种以语言概念空间中的概念为聚类对象的信息检索方法以及适合于该方法的聚类算法。
In this paper, it mainly researches on the intention of information retrieval in the web content access and intent of web-based clustering.
本文针对意图信息检索中的网页内容获取和基于意图的网页聚类进行研究。
Texts clustering, an important field in texts processing, has great significance on research of network supervision and control, information filter and retrieval, etc.
文本聚类是文本处理的重要研究领域，对于互联网舆情监管、信息获取、信息过滤等信息内容安全领域的研究具有重要意义。
Texts clustering, an important field in texts processing, has great significance on research of network supervision and control, information filter and retrieval, etc.
文本聚类是文本处理的重要研究领域，对于互联网舆情监管、信息获取、信息过滤等信息内容安全领域的研究具有重要意义。
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