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Big data-based online sales commodity inspection sampling method

A product inspection and big data technology, applied in the field of inspection and sampling of online sales products, can solve the problems of uncertain total number of products, complex classification of products, uncertain total number of products, etc.

Pending Publication Date: 2020-09-01
CHINA NAT INST OF STANDARDIZATION
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for online platform products, due to many problems such as many brands, complex product classification, uncertain total number of products, and unfixed sales channels, especially the uncertainty of the overall total number of products, it is difficult for the traditional sampling inspection method to perform well. Applicable to online marketing products to determine the appropriate sampling probability or sampling quantity

Method used

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  • Big data-based online sales commodity inspection sampling method
  • Big data-based online sales commodity inspection sampling method
  • Big data-based online sales commodity inspection sampling method

Examples

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Embodiment Construction

[0132] The present invention will be described in further detail below in conjunction with the examples and accompanying drawings, and the following examples do not limit the present invention.

[0133] The big data-based online commodity inspection and sampling method provided in this embodiment includes a step of calculating emotion scores and a step of calculating sampled data.

[0134] The comment analysis dictionary mentioned in the text includes a sentiment word dictionary, a negative word dictionary, a degree word dictionary and / or a stop word dictionary. The comment analysis dictionary can be directly formed by using the sentiment word dictionary, negative word dictionary, degree word dictionary and / or stop word dictionary in the prior art.

[0135] Of course, in some embodiments, the comment analysis dictionary can also be constructed and / or updated according to the user's multi-source comment data on the product on the network platform. That is to say, in the big da...

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Abstract

The invention discloses a big data-based online sales commodity inspection sampling method. The method of calculating an emotion score of a certain kind of commodities comprises the following steps ofB1) collecting online sales commodity links belonging to the same kind of commodities on a network platform and corresponding data information including brand data, comment data and sales volume data; B2) through an emotion tendency analysis method based on a comment analysis dictionary, carrying out emotion analysis on each comment of each online sales commodity link collected in the step B1), and carrying out calculation to obtain an emotion score of each comment under each online sales commodity link; and B3) calculating to obtain a commodity emotion score of each online sales commodity link based on the emotion score of each comment under each online sales commodity link. According to the invention, under the condition of various complex online sales commodities, especially under thecondition that the total number of total commodities is uncertain, the relatively suitable sample introduction probability and sampling number can be obtained, so that the quality monitoring or sampling inspection work is stronger in objectivity, higher in efficiency, and more scientific and reasonable.

Description

technical field [0001] The invention relates to an inspection and sampling method, in particular to an inspection and sampling method for online sales commodities. Background technique [0002] In the quality management process, the product should be inspected to judge the overall quality status of the product. In testing, the number of spot checks not only closely affects the accuracy of the overall quality judgment, but is also closely related to time costs, capital costs, and personnel costs. [0003] With the continuous development of social life, the online sales model is also constantly evolving and evolving. Online shopping has gradually penetrated into thousands of households. More and more people accept and choose to purchase needed commodities and materials through various online sales platforms. However, for online platform products, due to many problems such as many brands, complex product classification, uncertain total number of products, and unfixed sales cha...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F16/33G06F40/242G06Q30/06
CPCG06Q10/06395G06Q30/0623G06F16/3346G06F16/3344G06F40/242
Inventor 王海涛赵静张帆曹馨宇吴刚赵超丁文兴
Owner CHINA NAT INST OF STANDARDIZATION
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