CN107526782A - Demand supply matching process based on natural language analysis - Google Patents

Demand supply matching process based on natural language analysis Download PDF

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Publication number
CN107526782A
CN107526782A CN201710622701.2A CN201710622701A CN107526782A CN 107526782 A CN107526782 A CN 107526782A CN 201710622701 A CN201710622701 A CN 201710622701A CN 107526782 A CN107526782 A CN 107526782A
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China
Prior art keywords
information
natural language
language analysis
production unit
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710622701.2A
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Chinese (zh)
Inventor
王振宇
杨克杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wenzhou Lucheng District New Research Institute Of Advanced Technology
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Wenzhou Lucheng District New Research Institute Of Advanced Technology
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Application filed by Wenzhou Lucheng District New Research Institute Of Advanced Technology filed Critical Wenzhou Lucheng District New Research Institute Of Advanced Technology
Priority to CN201710622701.2A priority Critical patent/CN107526782A/en
Publication of CN107526782A publication Critical patent/CN107526782A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of electric business customer satisfaction evaluation method based on natural language analysis, comprises the following steps:(1)User's message information in target web is obtained by reptile instrument;(2)Clean user's message information;(3)The single frequency and repetition frequency degree of vocabulary in user's message information valid data are obtained, forms product demand keyword set;(4)According to the type of keyword and frequency value, product demand information is obtained;(5)Obtain each production unit information;(5)Production unit information is matched with product demand information and sends corresponding product demand information to production unit.Beneficial effect of the present invention is:Natural language analysis is carried out so as to extract the product demand information in market by information of leaving a message the user on network, corresponding production unit is sent to, so as to greatly improve resource matched degree, brings huge economic benefit and social benefit;Method is quickly direct, result of calculation good reliability.

Description

Demand based on natural language analysis-supply matching process
Technical field
The present invention relates to natural language processing field, in particular to a kind of demand-supply based on natural language analysis Method of completing the square.
Background technology
User's message information on network contains affluent resources, and user is can extract out to product by natural language analysis Demand information, if it is possible to these information analyses are arranged and are sent to production unit, it will create huge social value.But Do not have effective method in the prior art.
The content of the invention
The goal of the invention of the present invention is in view of the above-mentioned problems existing in the prior art, there is provided a kind of based on natural language point The electric business customer satisfaction evaluation method of analysis.
Foregoing invention purpose is realized by following scheme:
Demand based on natural language analysis-supply matching process, comprises the following steps:(1)Target is obtained by reptile instrument User's message information in webpage;(2)Clean user's message information;(3)Obtain vocabulary in user's message information valid data Single frequency and repetition frequency degree, form product demand keyword set;(4)According to the type of keyword and frequency value, produced Product demand information;(5)Obtain each production unit information;(5)Production unit information is matched with product demand information and to Production unit sends corresponding product demand information.
Further, production unit information includes geographical position, production capacity and degrees of comparison information.
Further, target web includes electric business platform, forum, user message information of the same IP in multiple Homepage Publishings It is considered as same demand information.
Further, cleaning step includes(2-1):Waste advertisements are removed according to lists of keywords.
Further, cleaning step includes(2-2):Remove the unconventional data with website information in comment data.
Further, cleaning step includes(2-3):Remove and repeat comment data.
Beneficial effect of the present invention is:Natural language analysis is carried out so as to extract by information of leaving a message the user on network Go out the product demand information in market, be sent to corresponding production unit, so as to greatly improve resource matched degree, bring huge warp Benefit of helping and social benefit;Method is quickly direct, result of calculation good reliability.
Embodiment
Below in conjunction with specific embodiment, the invention will be further described.
Demand based on natural language analysis-supply matching process, comprises the following steps:(1)Obtained by reptile instrument User's message information in target web;(2)Clean user's message information;(3)Obtain word in user's message information valid data The single frequency and repetition frequency degree of remittance, form product demand keyword set;(4)According to the type of keyword and frequency value, obtain To product demand information;(5)Obtain each production unit information;(5)Production unit information is matched with product demand information And send corresponding product demand information to production unit.
Production unit information includes geographical position, production capacity and degrees of comparison information.Target web includes electric business platform, opinion Altar, same IP are considered as same demand information in user's message information of multiple Homepage Publishings.Cleaning step includes(2-1):According to Lists of keywords removes waste advertisements.Cleaning step includes(2-2):Remove the unconventional number with website information in comment data According to.Cleaning step includes(2-3):Remove and repeat comment data.
Although the present invention is described by reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, the description of above-described embodiment can be not limited to, in the range of claims, can make each in form and details Kind change.

Claims (6)

1. the demand based on natural language analysis-supply matching process, it is characterised in that comprise the following steps:(1)Pass through reptile Instrument obtains user's message information in target web;(2)Clean user's message information;(3)It is effective to obtain user's message information The single frequency and repetition frequency degree of vocabulary in data, form product demand keyword set;(4)According to the type and frequency of keyword Angle value, obtain product demand information;(5)Obtain each production unit information;(5)Production unit information and product demand information are entered Row matching simultaneously sends corresponding product demand information to production unit.
2. the demand based on natural language analysis-supply matching process according to claim 1, it is characterised in that:Production Unit information includes geographical position, production capacity and degrees of comparison information.
3. the demand based on natural language analysis-supply matching process according to claim 1, it is characterised in that:Target Webpage includes electric business platform, forum, and same IP is considered as same demand information in user's message information of multiple Homepage Publishings.
4. the demand based on natural language analysis-supply matching process according to claim 1, it is characterised in that cleaning step Suddenly include(2-1):Waste advertisements are removed according to lists of keywords.
5. the demand based on natural language analysis-supply matching process according to claim 1, it is characterised in that cleaning step Suddenly include(2-2):Remove the unconventional data with website information in comment data.
6. the demand based on natural language analysis-supply matching process according to claim 1, it is characterised in that cleaning step Suddenly include(2-3):Remove and repeat comment data.
CN201710622701.2A 2017-07-27 2017-07-27 Demand supply matching process based on natural language analysis Pending CN107526782A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710622701.2A CN107526782A (en) 2017-07-27 2017-07-27 Demand supply matching process based on natural language analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710622701.2A CN107526782A (en) 2017-07-27 2017-07-27 Demand supply matching process based on natural language analysis

Publications (1)

Publication Number Publication Date
CN107526782A true CN107526782A (en) 2017-12-29

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710622701.2A Pending CN107526782A (en) 2017-07-27 2017-07-27 Demand supply matching process based on natural language analysis

Country Status (1)

Country Link
CN (1) CN107526782A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109242640A (en) * 2018-09-27 2019-01-18 唐山市奎星电商供应链管理有限责任公司 Electric business supply system and method
CN109255026A (en) * 2018-08-23 2019-01-22 云南师范大学 A method of it is analyzed based on Co-word analysis and the learning demand of clustering
CN113379398A (en) * 2021-08-13 2021-09-10 北京明略软件系统有限公司 Project requirement generation method and device, electronic equipment and storage medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109255026A (en) * 2018-08-23 2019-01-22 云南师范大学 A method of it is analyzed based on Co-word analysis and the learning demand of clustering
CN109255026B (en) * 2018-08-23 2021-06-25 云南师范大学 Learning demand analysis method based on common word analysis and cluster analysis
CN109242640A (en) * 2018-09-27 2019-01-18 唐山市奎星电商供应链管理有限责任公司 Electric business supply system and method
CN113379398A (en) * 2021-08-13 2021-09-10 北京明略软件系统有限公司 Project requirement generation method and device, electronic equipment and storage medium

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Application publication date: 20171229