为解决虚假评论识别的问题,该文提出一种基于Markov逻辑网的虚假评论识别方法。首先,对虚假评论内容和评论者行为的特点进行分析,选取评论内容特征和评论者行为特征;然后,根据特征定义一阶逻辑谓词和逻辑公式,并介绍了权重学习和推理的过程;最后,进行了对比实验,结果表明该方法的虚假评论识别取得了较好的效果。
Abstract
In order to identify fake reviews, we propose a method of fake reviews identification based on Markov Logic Networks. Firstly, the characteristics of fake review content and reviewer behavior are analyzed,and the review content features and the reviewer behavior features are selected. Secondly, the predicates and the formulas are defined with the features,and the weight The experimental results and the inference are decriked. show that the proposed method has a good performance.
关键词
Markov逻辑网 /
虚假评论 /
权重学习 /
自适应聚类
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Key words
Markov logic networks /
fake review /
weight learning /
adaptive clustering
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参考文献
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脚注
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基金
国家自然科学基金(61103242)
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