Towards effective web page classification

Min Gu, Feng Zhu, Qing Guo, Yanhui Gu, Junsheng Zhou, Weiguang Qu
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引用次数: 4

Abstract

In order to manage and organize information on the web, we propose a novel web page classification strategy integrating topic model and SVM. We use topic model to harness the implicit information on web pages for feature extraction. Accuracy of the strategy is 84.15%, 2.23% superior to the traditional classification strategy based on CHI.
迈向有效的网页分类
为了对网络上的信息进行管理和组织,我们提出了一种结合主题模型和支持向量机的网页分类策略。我们利用主题模型来利用网页上的隐式信息进行特征提取。该策略的准确率为84.15%,比基于CHI的传统分类策略高2.23%。
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