Abstract:The flood of e-commerce platform spam comments affects consumers' purchasing decisions, which greatly damages the interests of consumers. In the process of spam comment recognition, the explicit discrete features of spam comments were usually used as the input of the model. This paper combines the implicit semantic features of spam comments and the explicit discrete features of spam comments to identify the spam comment. First, SMOTE oversampling method is used to balance positive and negative sample sets. The… Show more
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