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Hierarchical product review detection based on keyword extraction

机译:基于关键字提取的分层产品审查检测

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Product reviews are very important for the sellers to make correct decisions. In order to help sellers detect the product reviews newly appearing in Internet, we propose a hierarchical product review detection method based on the keyword extraction. Taking the characteristic of the product reviews into account, this method firstly extracts the candidate keywords, and then filters out noise keywords based on the rules. And then extend these keywords based on the correlative words recognition. This paper finally realizes the hierarchical product review detection method based on these keywords. The experimental results show that the method proposed in this paper is successful.
机译:产品评论对卖家来说非常重要,以做出正确的决策。为了帮助卖家检测新出现在互联网上的产品评论,我们提出了一种基于关键字提取的分层产品审查检测方法。此方法考虑到产品审查的特征,首先提取候选关键字,然后根据规则筛选噪声关键字。然后基于相关词识别扩展这些关键字。本文终于实现了基于这些关键字的分层产品综述检测方法。实验结果表明,本文提出的方法是成功的。

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