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A-visual-attribute-based-approach-for-review-spam-identification
A-visual-attribute-based-approach-for-review-spam-identification Public在线评论是促进电子商务持续发展的重要措施。然而,受利益驱动,虚假评论问题日益严重。已有的多数识别方案主要集中在文本,而忽视了多模态评论中的图片和视频。本文以电商公开评论为真评论,并招募志愿者撰写假评论。统计分析发现,真假评论在诸多视觉特征上存在显著差异。基于此,本文提出了一种基于视觉特征的组合推理方法。实验结果表明,与典型有监督模型相比,该方法提高了15.92%的准确率,F1分数方面提升了1…
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