Method for tracking and predicting product quality based on social information

Abstract

The invention discloses a method for tracking product quality based on social information, which comprises the following steps of: acquiring a first editing distance between each of a plurality of word strings and one of a plurality of names of a product in a lookup table from a plurality of social data, classifying the word strings with a first editing distance less than a first threshold value to obtain a first target word string, taking at least part of the social data with the first target word string as a plurality of product data, and obtaining a second editing distance between each of the plurality of word strings and the question keyword in the product data according to the question keyword, and classifying the word strings with a second editing distance smaller than a second threshold value in the word strings to obtain a second target word string, obtaining the quantity of the product data associated with the second target word string as a problem quantity, and generating a product quality list according to the lookup table, the problem keyword and the problem quantity.

Description

technical field [0001] The present invention relates to a method for tracking and predicting product quality, in particular to a method for tracking and predicting product quality based on social information. Background technique [0002] For a product to be released, it is extremely important to control its quality. Before the product is shipped, usually the manufacturer and seller will carry out many tests and detection problems on the product. However, it is extremely difficult to anticipate all possible problems, test them, and successfully resolve them all before the product ships. Therefore, after release, quality control is as important as quality monitoring (tracking quality problems after the product leaves the factory). [0003] Traditionally, sellers collect product feedback through physical or online feedback cards or questionnaires similar to feedback cards. However, according to Esteban Kolsky's "Customer Experience For Executives" profile, which states: "13...

AI Technical Summary

Problems solved by technology

For today's society that is highly dependent on social media, the lack of feedback on social media is equivalent to the lack of a large number of product quality feedback materials

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