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Study of attribute word extraction in Chinese product reviews

机译:中文产品评论中的属性词提取研究

摘要

As e-commerce develops quickly and online product reviews dramatically increases, extraction of attribute words in the product review is of significance. In this paper, authors presented an efficient extraction method, with categorization by synonyms, based on ontology library, of product reviews attribute words under the big data environments. The experiment validated the approach and it improves the extraction efficiency of attribute words.
机译:随着电子商务的快速发展和在线产品评论的急剧增加,在产品评论中提取属性词具有重要意义。在本文中,作者提出了一种有效的提取方法,该方法基于本体库基于同义词对大数据环境下的产品评论属性词进行分类。实验验证了该方法的有效性,提高了属性词的提取效率。

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