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Product demand preference characteristic digging and quality evaluation method based on comment information

A review information and quality assessment technology, applied in the field of product demand preference feature mining and quality assessment based on review information, can solve problems such as product exposure quality issues, and achieve the effect of maintaining market competitiveness

Pending Publication Date: 2017-09-05
CHINA JILIANG UNIV
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AI Technical Summary

Problems solved by technology

Since different users have different quality and safety requirements, and may also be under different unconventional operations, the product will expose some quality problems during use

Method used

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  • Product demand preference characteristic digging and quality evaluation method based on comment information
  • Product demand preference characteristic digging and quality evaluation method based on comment information
  • Product demand preference characteristic digging and quality evaluation method based on comment information

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Embodiment Construction

[0028] Below in conjunction with accompanying drawing, content of the present invention is described in further detail:

[0029] The present invention takes the review information collected from the e-commerce platform as the research object, and aims to perform text processing on the review information, discover consumer preference features, and evaluate the quality of the features.

[0030] Product demand preference feature mining based on review information and its quality assessment method, including four steps: obtaining review information, extracting feature words, scoring product features, mining consumer preference features, and evaluating product quality and safety. figure 1 shown. The four steps are described in detail below.

[0031] Use the web crawler technology to use the formulated regular expression to collect the comment information of a specific product comment area on the e-commerce platform through the HTTP protocol, convert the web page into comment text ...

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Abstract

The invention provides a product demand preference characteristic digging and quality evaluation method based on comment information. The method comprises the following steps: 1, crawling data, namely by using a network crawling technique, crawling product comment appointed information of an E-commerce platform and storing in a databank; 2, performing data preprocessing and product characteristic word extraction, namely performing data cleansing and preprocessing on acquired data, and further performing product characteristic extraction on preprocessed data by using a BiLSTM-CRF (Bidirectional Long Short-Term Memory-Conditional Random Field) model; and 3, performing product demand preference characteristic digging and quality evaluation. By adopting the method, quality problems of products can be rapidly understood according to feedback information of customers, demand preference characteristics of the customers can be understood, and thus companies can make relatively good decisions to meet the customers.

Description

technical field [0001] The invention relates to the field of product quality and safety, in particular to a product demand preference feature mining and quality evaluation method based on review information. Background technique [0002] Product quality and safety means that under normal or reasonably foreseeable use of the product, there is no risk or the risk is considered acceptable, and it is consistent with a high level of protection for personal safety and health. With the rapid development of economy and technology, the consumer goods market continues to expand, and product quality and safety accidents occur frequently in our country. Consumers' personal safety and health are potentially threatened, which indirectly endangers public safety and social stability. Therefore, it is very important to improve the quality and safety of products. [0003] With the development and popularization of Internet technology, the Internet is gradually changing people's lives and exp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30G06Q30/02
CPCG06F2216/03G06Q30/0282G06F16/9535G06F40/247G06F40/284
Inventor 文超徐新胜
Owner CHINA JILIANG UNIV
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