Generating method and system for online shopper fake merchandise purchasing index model

Abstract

The invention provides a generating method and system for an online shopper fake merchandise purchasing index model. A fake merchandise purchasing comment index, a fake merchandise purchasing behaviorindex and a fake merchandise purchasing social sentiment index are respectively generated, wherein the fake merchandise purchasing comment index is generated specifically by acquiring user commoditycomment text data on e-commerce platforms and public news media data; after data preprocessing, user commodity comment texts and public media social sentiment text data are acquired, after that, the data preprocessing is carried out, after various interference data is identified and eliminated, fake merchandise purchasing comment identification, fake merchandise purchasing behavior type judgementand analysis of fake merchandise purchasing social sentiment attitude tendencies of different users are carried out, and the online shopper fake merchandise purchasing comment index is obtained; the generated calculating data of the online shopper fake merchandise purchasing index model is easy to acquire, the output result of the model is unique and more stable, the method can predicate fake merchandise purchasing comment states of certain commodities and certain consumer groups, fake merchandise purchasing behaviors, fake merchandise purchasing social sentiment distribution features and whole developing states in a certain period of time.

Description

technical field [0001] The invention relates to a method and system for generating a fake index model for online shopping users. Background technique [0002] According to relevant searches and comparisons, the existing technologies for designing and compiling the large index of online shoppers include: [0003] In 2015, based on the active discovery and interception of online risk control throughout the year, links to counterfeit products verified in consumer complaints, and the data of millions of suspected counterfeit products that were shut down by Alibaba’s penalties, Alibaba constructed the China's counterfeit activity index map. However, the data of the counterfeit activity index is mainly obtained through the basic information of the released products and consumer complaints. The basic information of the released products, including text information and picture information, does not contain keywords, and consumers have not complained. Buying fakes, also known as kn...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for generating a fake index model for online shopping users, which can comprehensively reflect the time series indicators of consumers' fake buying behavior and attitude towards buying fake behavior on different platforms, different regions, different commodity categories, and different groups of people The model comprehensively monitors and predicts the development trend of online shoppers’ buying behavior and attitude through the fake buying review index, buying fake behavior index, and buying fake public opinion index, and solves the problems existing in the prior art by comparing the basic information and As a result of consumer complaints, the basic information of released products, including text information and picture information, does not contain keywords, and consumers have not complained about the purchase of counterfeit products, which cannot be monitored.

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