Hierarchical product review detection based on keyword extraction

Hua Zhao, Q. Zeng, Bingjie Sun, Weijian Ni
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引用次数: 1

Abstract

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.
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基于关键词提取的分层产品评论检测
产品评论对卖家做出正确的决定非常重要。为了帮助卖家检测到互联网上新出现的产品评论,我们提出了一种基于关键词提取的分层产品评论检测方法。该方法考虑到产品评论的特点,首先提取候选关键词,然后根据规则过滤掉噪声关键词。然后在相关词识别的基础上对这些关键词进行扩展。本文最终实现了基于这些关键词的分层产品评论检测方法。实验结果表明,本文提出的方法是成功的。
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