Semantic analysis-based fruit e-commerce origin suitability degree ranking method

Abstract

The invention relates to the technical field of fruit e-commerce origin suitability degree ranking, and in particular to a semantic analysis-based fruit e-commerce origin suitability degree ranking method. The method comprises the following steps of: obtaining text data of a specific fruit variety from the network; analyzing the text data by utilizing a semantic analysis technology and a text mining technology so as to obtain various origins of the fruit variety; dividing into a core origin and other origins; comparing a geographic coordinate distance between each of the other origins and thecore origin, and determining the origins, the distances of which are in a threshold value, as excellent origins; comparing climate information of various origins except the excellent origins in the other origins and the core origin, calculating suitability degrees of the residual origins and determining ranks. According to the method, systematic analysis can be carried out on different origins ofspecific fruit varieties so as to obtain suitability degree ranking results, so that the consumers are helped to effectively discriminate the varieties at different origins and know the values of coreoriginals, and reference basis is provided for the fruit buying of the consumers.

Description

technical field [0001] The invention relates to the technical field of suitability rating of fruit e-commerce origin, and more specifically, to a method for evaluating the suitability of fruit e-commerce origin based on semantic analysis. Background technique [0002] At present, there are many varieties of fruits on the fruit e-commerce market, and their origins vary greatly. Fruit products grown in different origins are also quite different in terms of texture, taste, shape, size, etc. When consumers make purchase decisions on e-commerce platforms, they need to obtain practical reference evaluations to help consumption to make a purchase. At present, there are a large number of fruit ratings in the e-commerce market. These are all derived from the subjective evaluation of merchants. The evaluation content of fruit research is relatively single, which cannot provide a reasonable reference for purchasing decisions. At the same time, as the iconic agricultural products of t...

AI Technical Summary

Problems solved by technology

At present, the e-commerce market is flooded with a large number of fruit ratings, all of which come from the subjective evaluation of merchants, and the evaluation content of fruit research is relatively single, which cannot provide a reasonable reference for purchase decisions

At the same time, as the iconic agricultural products of the core production area, bad money drives out good money, and even a crisis of trust

Although there are many reasons for this phenomenon, how to ensure that consumers can truly understand that the quality of the same fruit variety produced in the core production area is different from other production areas due to its suitability is a problem that needs to be solved at present. question

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