在文本分类器的设计中,用传统信息检索的空间向量模型改进了朴素贝叶斯分类器,提高了它的分类精度。
In designing web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.
基于知识模型的文本信息检索可视化,是利用信息资源的元数据信息来进行可视化检索。
The text information retrieval visualization based on knowledge models is the visualized retrieval with metadata information of information resources.
在研究现有文本信息检索技术的基础上,设计了基于推理网络的文本检索模型。
By the research on the existent IR (Information retrieval) technology, a text retrieval model based on inference network is designed.
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