| 垃圾商品评论检测研究综述 |
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| 引用本文： | 张圣,伍星,邹东升.垃圾商品评论检测研究综述[J].计算机工程与科学,2018,40(11):2060-2066. |
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| 作者姓名： | 张圣 伍星 邹东升 |
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| 基金项目： | 国家自然科学基金(61309013);重庆市科技计划项目基础科学与前沿技术研究专项项目(Cstc2014jcyjA40042) |
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| 摘 要： | 商品评论对消费者的购买意愿有明显导向作用，欺诈者可杜撰评论来过度褒奖或恶意贬低商品,以此来促进己方或是打击对方的商品销售，垃圾商品评论检测成为了一项迫切需要的技术。首先将相关研究分为以评论内部（文本特征）为中心和以评论外部（文本特征）为中心的两大类,然后分别综述它们在特征选择、学习方法上的研究进展,并介绍了垃圾商品评论检测领域的常用评论数据集,在此基础上,展望了该领域的热点研究方向。
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| 关 键 词： | 垃圾商品评论 文本特征 行为特征 评论数据集 |
| 收稿时间： | 2017-06-29 |
| 修稿时间： | 2018-11-25 |
Review:Detection of product review spam |
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| ZHANG Sheng,WU Xing,ZOU Dong sheng.Review:Detection of product review spam[J].Computer Engineering & Science,2018,40(11):2060-2066. |
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| Authors: | ZHANG Sheng WU Xing ZOU Dong sheng |
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| Affiliation: | （College of Computer Science,Chongqing University,Chongqing 400044,China） |
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| Abstract: | E-commerce website's product reviews have a guiding effect on the user's purchase intention. However, spammers may create fake reviews to artificially promote or demote target products. Techniques for detecting review spam therefore have become an urgent need. We first divide the related researches into two categories: internal review (text features) -centric and external reviews (behavior features) -centric. Then, their research progresses on feature selection and machine learning methods are summarized. The common data sets in product review spam detection are summarized. Finally, we point out some potential research directions based on the review. |
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| Keywords: | product review spam text feature behavior feature opinion data set |
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