在线商品评论中的虚假评论识别模型研究

Research on the Identification Model of False Comments on Online Goods

在线商品评论是促进电子商务健康发展的重要内容,然而虚假评论的存在严重扰乱了公平、公正的市场竞争秩序。因此,评论的真伪鉴别是亟需解决的重要问题。本文在采集含标签评论集的基础上,通过文本嵌入进行特征提取,训练了一个长短期记忆神经网络模型。测试结果显示,此分类器能够有效地识别虚假评论。

Online commodity review is an important content to promote the healthy development of e-commerce.However,the existence of false comments has seriously disturbed the fair and just market competition order,so the identification of the authenticity of comments is an important problem that needs to be solved urgently.In this paper,a neural network model of short-term and long-term memory is trained based on the collection of tagged comment sets and feature extraction through text embedding.The test results show that this classifier can effectively identify false comments.