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Natural language analysis-based demand-supply matching method

A technology of natural language and matching method, applied in the field of demand-supply matching based on natural language analysis, to achieve the effect of improving the matching degree of resources, the method is fast and direct, and the reliability is good

Inactive Publication Date: 2017-12-29
温州市鹿城区中津先进科技研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no effective way in the prior art

Method used

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Examples

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Embodiment Construction

[0012] The present invention will be further described below in conjunction with specific examples.

[0013] The demand-supply matching method based on natural language analysis includes the following steps: (1) Obtain the user message information in the target webpage through a crawler tool; (2) Clean the user message information; (3) Obtain the vocabulary in the effective data of the user message information Single frequency and repeated frequency form a set of product demand keywords; (4) obtain product demand information according to the type and frequency value of keywords; (5) obtain information on each production unit; (5) obtain information on production units Match with the product demand information and send the corresponding product demand information to the production unit.

[0014] Production unit information includes geographical location, production capacity and credit rating information. Target webpages include e-commerce platforms and forums, and user message...

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Abstract

The invention provides a natural language analysis-based e-commerce user satisfaction degree evaluation method. The method comprises the following steps of (1) obtaining user message information in a target webpage through a crawler tool; (2) cleaning the user message information; (3) obtaining a single frequency degree and a repetition frequency degree of vocabularies in effective data of the user message information, and forming a product demand keyword set; (4) according to types and frequency degree values of keywords, obtaining product demand information; (5) obtaining production unit information; and (5) performing matching on the production unit information and the product demand information, and sending the corresponding product demand information to production units. The method has the beneficial effects that the product demand information of the market is extracted by performing natural language analysis on the user message information in a network and is sent to the corresponding production units, so that the resource matching degree is greatly increased and huge economic and social benefits are achieved; and the method is quick and direct, and a calculation result is high in reliability.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a demand-supply matching method based on natural language analysis. Background technique [0002] User messages on the Internet contain rich resources. Through natural language analysis, user demand information for products can be extracted. If this information can be analyzed and sent to production units, it will create huge social value. However, there is no effective way in the prior art. Contents of the invention [0003] The purpose of the present invention is to provide an e-commerce user satisfaction evaluation method based on natural language analysis for the above-mentioned problems existing in the prior art. [0004] Above-mentioned invention purpose realizes by following scheme: [0005] The demand-supply matching method based on natural language analysis includes the following steps: (1) Obtain the user message information in the target webpage through a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/06
CPCG06F16/30G06F16/951G06Q30/0605
Inventor 王振宇杨克杰
Owner 温州市鹿城区中津先进科技研究院