基于情感距离和领域自适应的评论者声誉度
发布时间：2018-10-18 07:09
【摘要】：为有效地从评论文本中评估消费评论者的声誉度,本文提出一种基于情感距离和领域自适应的评论者声誉度评估方法。通过度量待评估评论者发表的商品评论与该商品其他评论者的情感距离、情感倾向一致性,从而衡量该消费评论者在评价商品时的客观性以及与大众情感极性的一致性。最后,以亚马逊产品评论为实验语料,与亚马逊Reviewer ranking排序结果进行对比表明该方法的合理性。该方法对评论文本有效性研究以及规范电商平台消费者行为具有重要意义。
[Abstract]:In order to evaluate the reputation of consumer commenters effectively from the commentary text, this paper proposes a novel method based on emotional distance and domain adaptation for evaluating the reputation of consumer reviewers. By measuring the emotional distance between the commodity reviews to be evaluated and the other commenters of the goods, the emotional tendency is consistent, so as to measure the objectivity of the consumer reviewers in evaluating the goods and the consistency with the emotional polarity of the masses. Finally, using Amazon product reviews as experimental corpus, the comparison with Amazon Reviewer ranking sequencing results shows that the proposed method is reasonable. This method is of great significance to the research on the validity of comment text and the regulation of consumer behavior in e-commerce platform.
【作者单位】： 大连理工大学计算机科学与技术学院;大连外国语大学软件学院;
【基金】：国家自然科学基金项目(61572102,61562080) 大连外国语大学科研基金项目(2014XJQN14)
【分类号】：TP391.1
[Abstract]:In order to evaluate the reputation of consumer commenters effectively from the commentary text, this paper proposes a novel method based on emotional distance and domain adaptation for evaluating the reputation of consumer reviewers. By measuring the emotional distance between the commodity reviews to be evaluated and the other commenters of the goods, the emotional tendency is consistent, so as to measure the objectivity of the consumer reviewers in evaluating the goods and the consistency with the emotional polarity of the masses. Finally, using Amazon product reviews as experimental corpus, the comparison with Amazon Reviewer ranking sequencing results shows that the proposed method is reasonable. This method is of great significance to the research on the validity of comment text and the regulation of consumer behavior in e-commerce platform.
【作者单位】： 大连理工大学计算机科学与技术学院;大连外国语大学软件学院;
【基金】：国家自然科学基金项目(61572102,61562080) 大连外国语大学科研基金项目(2014XJQN14)
【分类号】：TP391.1
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