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欺骗性产品评论的足迹分布

Distributional Footprints of Deceptive Product Reviews
课程网址: http://videolectures.net/icwsm2012_feng_footprints/  
主讲教师: Song Feng
开课单位: 石溪大学
开课时间: 2012-07-06
课程语种: 英语
中文简介:
本文假设产品评论中存在着观点的自然分布。特别是,我们假设对于一个给定的领域,有一组具有代表性的审查评分分布。一个欺骗性的商业实体雇佣人们写虚假的评论,必然会扭曲其评论分数的分布,留下分布的足迹。为了验证这一假设,我们引入了使用伪金标准创建数据集的策略,该数据集根据不同类型的分布足迹自动标记。一系列实验证实了分布异常与欺骗性评价之间的假设联系。这项研究也为TripAdvisor酒店评论和亚马逊产品评论领域的意见自然分布特征提供了新的定量见解。
课程简介: This paper postulates that there are natural distributions of opinions in product reviews. In particular, we hypothesize that for a given domain, there is a set of representative distributions of review rating scores. A deceptive business entity that hires people to write fake reviews will necessarily distort its distribution of review scores, leaving distributional footprints behind. In order to validate this hypothesis, we introduce strategies to create dataset with pseudo-gold standard that is labeled automatically based on different types of distributional footprints. A range of experiments confirm the hypothesized connection between the distributional anomaly and deceptive reviews. This study also provides novel quantitative insights into the characteristics of natural distributions of opinions in the TripAdvisor hotel review and the Amazon product review domains.
关 键 词: 信息社会; 互联网; 足迹分布; 产品评论
课程来源: 视频讲座网
最后编审: 2020-09-28:heyf
阅读次数: 23