Fine-grained attribute analysis method in e-commerce comment analysis scene
An attribute analysis and fine-grained technology, which is applied in the field of fine-grained attribute analysis in the e-commerce review analysis scenario, can solve the problems of high cost of labeling data acquisition, achieve the effect of shortening the online cycle, simplifying the complexity, and improving the efficiency of labeling
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[0034] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.
[0035] Aiming at the problems existing in the prior art, the present invention provides a fine-grained attribute analysis method in the e-commerce comment analysis scenario, and the following is combined with the attached figure 1 The present invention is described in detail.
[0036] A fine-grained attribute analysis method in an e-commerce comment analysis scenario includes:
[0037] S101. Using two isomorphic and independently trained sequence labeling models to extract target attributes and emotions of e-commerce reviews respectively;
[0038] S102. Use a relationship classification model to perform relationship classification on the target attributes and emotions extracted by the model in step 1;
[0039] S103, the training data of the model is carried ...
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