Secondly, the system can distinguish the domain of the web page and understand the document at the concept level by text classification, clustering and concept extraction based machine learning.
其次，采用机器学习技术，包括文本分类、聚类，文本概念抽取，从概念层次理解文本信息；
Document clustering had been employed in information filtering, web page classification and so on.
文本聚类在信息过滤，网页分类中有着很好的应用。但它面临数据量大，特征维度高的难点。
Document clustering had been employed in information filtering, web page classification and so on.
文本聚类在信息过滤，网页分类中有着很好的应用。但它面临数据量大，特征维度高的难点。
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