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。
In order to evaluate a reviewer＇ s reputation effectively from his or her written reviews,we propose a method for evaluating reviewer reputation based on emotional distance and domain self-adaption. By calculating the emotional distance and the consistency of emotional tendency between the reviews written by the target reviewer and those by other reviewers,the review objectivity and the emotional consistency between the target reviewer and the public are measured. Finally,by using product reviews on Amazon. com as the experimental data,we compare the results of the proposed method with the sequencing results of the Amazon Reviewer ranking to show the rationality of the method. The proposed method would be of great significance to research on text effectiveness and regularizing the behavior of consumers on e-commerce platforms.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2017年第6期907-913,共7页
Journal of Harbin Engineering University
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)
关键词
产品评论
声誉度
评论者
情感距离
情感倾向一致性
领域自适应
product review
reputation
reviewer
emotion distance
sentiment orientation consistency
domain self-adaption
