A method for identifying defective products in e-commerce based on transfer learning
A technology of transfer learning and recognition method, applied in the field of e-commerce data analysis, can solve the problems of difficult recognition, low recognition accuracy, high cost, etc., to achieve the effect of ensuring accuracy and reducing costs
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[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0022] In this embodiment, a method for identifying defective e-commerce products based on transfer learning is provided, such as figure 1 As shown, the following steps are included: S10 data collection, obtaining product text data of multiple e-commerce platforms. S20 data preprocessing, preprocessing the product text data by product category to obtain text information, the preprocessing includes text segmentation and filtering stop words. S30 Encoding text information, enco...
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