CN112612937A - Associated information acquisition method and equipment - Google Patents

Associated information acquisition method and equipment Download PDF

Info

Publication number
CN112612937A
CN112612937A CN202011417350.XA CN202011417350A CN112612937A CN 112612937 A CN112612937 A CN 112612937A CN 202011417350 A CN202011417350 A CN 202011417350A CN 112612937 A CN112612937 A CN 112612937A
Authority
CN
China
Prior art keywords
information
acquiring
target
company
listing
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
CN202011417350.XA
Other languages
Chinese (zh)
Inventor
王童萱
王瑗
梅金芳
王欣悦
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.)
Shenzhen Valueonline Technology Co ltd
Original Assignee
Shenzhen Valueonline Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Valueonline Technology Co ltd filed Critical Shenzhen Valueonline Technology Co ltd
Priority to CN202011417350.XA priority Critical patent/CN112612937A/en
Publication of CN112612937A publication Critical patent/CN112612937A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application is applicable to the technical field of computers, and provides a method for acquiring associated information, which comprises the following steps: acquiring target marketing information; acquiring a related company corresponding to the target listing information according to a preset acquisition rule and the target listing information; and determining the associated information corresponding to the target listing information according to the associated company. According to the method, the associated company can be directly obtained according to the target marketing information according to the preset obtaining rule, and then the corresponding associated information is obtained. The method and the device do not need to manually distinguish, manually identify, process, screen and the like on a large amount of information, improve the efficiency of obtaining the associated information, save human resources, improve the integrity of the finally obtained associated information and help a user to quickly know all the associated information.

Description

Associated information acquisition method and equipment
Technical Field
The present application belongs to the field of computer technologies, and in particular, to a method and an apparatus for obtaining associated information.
Background
In order for an investor to be aware of a company to be marketed, the company needs to be exposed to relevant information during the transition from the company to be marketed to the company to be marketed. The complete disclosure associated information may provide assistance to the security administration to decide whether to approve the stock issue of the company, or may provide a reference to the information disclosure for the same-nature enterprise. In the prior art, when the associated information is disclosed, a large amount of information needs to be manually identified, processed, screened and the like, so that the method for acquiring the associated information is low in efficiency, a large amount of human resources are consumed, and the obtained associated information may be screened in a missing manner or in a wrong manner.
Disclosure of Invention
The embodiment of the application provides a method and equipment for acquiring associated information, and the problems that the existing method for acquiring associated information is low in efficiency and consumes a large amount of human resources, and the obtained associated information is likely to be missed or mistaken in screening can be solved.
In a first aspect, an embodiment of the present application provides a method for acquiring associated information, including:
acquiring target marketing information;
acquiring a related company corresponding to the target listing information according to a preset acquisition rule and the target listing information;
and determining the associated information corresponding to the target listing information according to the associated company.
Further, the obtaining of the related company corresponding to the target listing information according to a preset obtaining rule and the target listing information includes:
acquiring a source address corresponding to the target marketing information;
and determining the related company corresponding to the target marketing information according to the source address.
Further, after the determining, according to the source address, the affiliated company corresponding to the target listing information, the method further includes:
if the related company corresponding to the target listing information cannot be determined according to the source address, capturing key text information from the target listing information;
and determining the related company corresponding to the target listing information according to the key text information.
Further, the crawling of the key text information from the target listing information includes:
acquiring a file title from the target listing information;
and capturing key text information from the file title according to a first preset extraction rule.
Further, the crawling of the key text information from the target listing information includes:
acquiring file content information from the target marketing information;
and capturing key text information from the file content information according to a second preset extraction rule.
Further, the determining, according to the key text information, the related company corresponding to the target listing information includes:
and when the key text information is consistent with a preset company name, taking the preset company name as an associated company corresponding to the target listing information.
Further, the determining, according to the related company, related information corresponding to the target listing information includes:
acquiring a relevant listing case and a relevant notice corresponding to the relevant company;
acquiring all associated mail corresponding to the associated listed cases;
and determining the associated information of the target listing information according to the associated listing case, the associated notice and the associated function.
Further, the obtaining of the relevant listing case corresponding to the relevant company includes:
acquiring all listed cases corresponding to the associated companies, and acquiring announcement dates and acceptance dates corresponding to the listed cases;
and determining the associated marketing case corresponding to the associated company according to the announcement date, the acceptance date and a preset time screening rule.
In a second aspect, an embodiment of the present application provides an associated information acquiring apparatus, including: a first acquisition unit configured to acquire target listing information;
the second acquisition unit is used for acquiring the related company corresponding to the target marketing information according to a preset acquisition rule and the target marketing information;
and the determining unit is used for determining the associated information corresponding to the target listing information according to the associated company.
Further, the second obtaining unit is specifically configured to:
acquiring a source address corresponding to the target marketing information;
and determining the related company corresponding to the target marketing information according to the source address.
Further, the second obtaining unit is specifically further configured to:
if the related company corresponding to the target listing information cannot be determined according to the source address, capturing key text information from the target listing information;
and determining the related company corresponding to the target listing information according to the key text information.
Further, the second obtaining unit is specifically configured to:
acquiring a file title from the target listing information;
and capturing key text information from the file title according to a first preset extraction rule.
Further, the second obtaining unit is specifically configured to:
acquiring file content information from the target marketing information;
and capturing key text information from the file content information according to a second preset extraction rule.
Further, the second obtaining unit is specifically configured to:
and when the key text information is consistent with a preset company name, taking the preset company name as an associated company corresponding to the target listing information.
Further, the determining unit is specifically configured to:
acquiring a relevant listing case and a relevant notice corresponding to the relevant company;
acquiring all associated mail corresponding to the associated listed cases;
and determining the associated information of the target listing information according to the associated listing case, the associated notice and the associated function.
Further, the determining unit is specifically configured to:
acquiring all listed cases corresponding to the associated companies, and acquiring announcement dates and acceptance dates corresponding to the listed cases;
and determining the associated marketing case corresponding to the associated company according to the announcement date, the acceptance date and a preset time screening rule.
In a third aspect, an embodiment of the present application provides an associated information acquiring apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the associated information acquiring method according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and when executed by a processor, the computer program implements the association information obtaining method according to the first aspect.
In the embodiment of the application, target marketing information is obtained; acquiring a related company corresponding to the target listing information according to a preset acquisition rule and the target listing information; and determining the associated information corresponding to the target listing information according to the associated company. According to the method, the associated company can be directly obtained according to the target marketing information according to the preset obtaining rule, and then the corresponding associated information is obtained. The method and the device do not need to manually distinguish, manually identify, process, screen and the like on a large amount of information, improve the efficiency of obtaining the associated information, save human resources, improve the integrity of the finally obtained associated information and help a user to quickly know all the associated information.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a method for acquiring associated information according to a first embodiment of the present application;
fig. 2 is a schematic flowchart of a refinement of S103 in a method for acquiring associated information according to a first embodiment of the present application;
fig. 3 is a schematic diagram of an associated information acquiring apparatus according to a second embodiment of the present application;
fig. 4 is a schematic diagram of an associated information acquiring apparatus according to a third embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The capital market is the core part of the whole financial system, is a strong and effective financing channel of an enterprise, and is the most reliable capital operation platform. The fund is the blood of the enterprise and is the basis for increasing research and development investment, expanding reproduction and integrating sales channels to develop and purchase. The funds are not all, but none are tens of thousands of infeasible. Non-marketable companies, wishing to enjoy the dividend of the capital market, market is the only way. This is undoubtedly because the capital market financing is more efficient and the financing scale is larger relative to the equity financing channel or loan financing channel of other non-listed companies. However, the system has more strict requirements on information disclosure and company governance for listed companies both indoors and abroad, so that the risk coefficient of the company can be reduced to a certain extent, the value of the company is greatly released, and the return of stockholders is improved. The information content disclosed in the process of the company transitioning from the company to be listed to the company to be listed is an important way for wide investors to know the company to be listed.
The complete disclosure associated information may provide assistance to the security administration to decide whether to approve the stock issue of the company, or may provide a reference to the information disclosure for the same-nature enterprise. In the prior art, when the associated information is disclosed, a large amount of information needs to be manually identified, processed, screened and the like, so that the method for acquiring the associated information is low in efficiency, a large amount of human resources are consumed, and the obtained associated information may be screened in a missing manner or in a wrong manner. Therefore, the embodiment provides a method for acquiring associated information, which can acquire associated information perfectly, instantly, structurally and centrally.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for acquiring associated information according to a first embodiment of the present application. In this embodiment, an execution main body of the related information obtaining method is a device having a related information obtaining function, for example, a personal computer, a server, and the like. The method for acquiring the associated information shown in fig. 1 may include:
s101: and acquiring target marketing information.
The device acquires target marketing information, wherein the target marketing information may include marketing-related file information that can be acquired by a user, and the target marketing information may include, for example, a stock instruction declaration, a marketing draft, a registration draft, and an issue recommendation declaration, a marketing draft, a registration draft, and the like. The equipment can capture the target marketing information through data source addresses such as deep exchanges, exchange posts, certificate prisoners, stock transfer systems and the like.
In this embodiment, the device may sort and sort the target listing information, and display the sorted result on a page, so that the user may visually obtain the sorted target listing information. Specifically, the device may classify the target listing information, that is, a plurality of file types may be preset in the device, the preset file types may be set in advance according to the service requirements, and the device classifies the target listing information according to the preset file types.
The equipment acquires all data source addresses which can acquire the information of the relevant files on the market on the network, such as data source addresses of deep intersections, posts, witnesses, stock transfer system websites and the like. Since the marketing information is already plate-classified on some websites, the device can analyze the file type to which the target marketing information belongs according to the data source address, for example, under the project dynamic web page of the scientific board, the disclosed file part can distinguish the posting of the posting specification, the posting of the marketing specification, the registration of the posting specification, the posting of the posting specification, the registration of the posting specification, and the like, and the device can determine which file type the marketing information belongs to according to the data source address.
If the type of the listed information cannot be determined according to the data source address, the type of the listed information is classified, analyzed and summarized by analyzing the file title, for example, under a publishing review information publishing website-information disclosure-IPO webpage issued by a startup board, all information is not classified but is only displayed, and the type of the listed information cannot be determined according to the data source address, classification needs to be performed according to a keyword exclusion rule of the announcement title, the announcement title under the category of the invitation instruction specification needs to be provided with a keyword of the invitation instruction specification, and the listed information belongs to the type of the invitation instruction specification.
Further, when the device captures the target listing information through data source addresses such as deep intersections, posts, certificate monitors, stock transfer systems, etc., the file format of the captured initial listing information may have various forms, for example, a web page, a tweet, a PDF file, a word file, an excel file, etc. Therefore, the device can extract the target listing information from the initial listing information for displaying according to different file formats of the initial listing information.
If the file grabbing format is a text pushing or word file, reading the text content of the file and displaying the text content as the content;
if the captured file format is a PDF file, loading the content of the PDF file through a PDF plug-in, and displaying the content;
if the captured file format is an excel file, the content of the excel file is loaded in real time through excel online and is displayed as the content;
if the format of the captured file is a webpage, judging whether the webpage is provided with an attachment or not; if the attachment exists, web page content is abandoned without any processing, then the format type of the attachment file is judged, and if the attachment file is a word file, text content of the file is read and displayed as content; if the captured file format is a PDF file, loading the content of the PDF file through a PDF plug-in, and displaying the content; if the captured file format is an excel file, the content of the excel file is loaded in real time through excel online and is displayed as the content; if the attachment is not contained, reading the text content of the file as content display;
if the captured file is a non-excel file, a keyword search function, a previous keyword rapid positioning function and a next keyword rapid positioning function of the detail of the bulletin text are added;
if the captured files are word files, text pushing and web pages, the functions of searching keywords in the same sentence and the same segment can be added, and the user can conveniently search. The keyword search function of the same sentence, that is, a plurality of keywords appear in the same sentence, and the keyword search function of the same paragraph, that is, a plurality of keywords appear in the same paragraph.
S102: and acquiring the related company corresponding to the target listing information according to a preset acquisition rule and the target listing information.
In this embodiment, the preset obtaining rule is not limited as long as the related company corresponding to the target marketing information can be obtained according to the target marketing information.
In one embodiment, the preset obtaining rule may be that a source address corresponding to the target marketing information is analyzed to obtain an associated company corresponding to the target marketing information. And the equipment acquires a source address corresponding to the target marketing information. Since the disclosure file part distinguishes which kind of disclosure files belong to which company under many web pages, for example, under the project dynamic web page of the scientific plate, the device can determine the related company corresponding to the target marketing information according to the source address.
Furthermore, some websites do not distinguish the home company, if the device cannot determine the related company corresponding to the target listing information according to the source address, the device can capture the key text information from the target listing information, and then determine the related company corresponding to the target listing information according to the key text information.
For example, the device stores a first preset extraction rule, the device can obtain a file title from the target listing information, and the key text information is extracted from the file title according to the first preset extraction rule, for example, the file title is "a decision on terminating the first public release of stocks and the marketing review on a scientific creation board by scientific and technological stock limited company under Shenzhen Yisheng search", and the first preset extraction rule may be: the portion intermediate between "terminated" and "first time" is the full name of the associated company.
Further, some file titles do not include company names, so that key text information cannot be captured from the file titles, the device may obtain file content information from the target marketing information, and capture the key text information from the file content information according to a second preset extraction rule. For example, if the title of the document is "supplementary announcement of examination conference announcement of 22 nd examination conference announcement in 2020 by science board", the associated company acquisition rule is specified by analyzing the specific content of the document, for example, the second preset extraction rule is: the detail contents of the captured files are analyzed, and the characters between the (first), (second), (third) … … and the (first issue) are the whole names of the companies.
When the equipment determines the related company corresponding to the target listing information according to the key text information, the extracted key text information can be directly used as the related company corresponding to the target listing information. Further, in order to ensure the accuracy of the obtained associated company, the key text information may be compared with a preset company name set, and when the key text information is consistent with the preset company name, the preset company name is used as the associated company corresponding to the target listing information. In comparison, a company with a "(transferrable)" keyword cannot be a related company.
The number of the related companies corresponding to the target marketing information acquired by the device may be multiple, that is, the target marketing information corresponds to multiple related companies.
S103: and determining the associated information corresponding to the target listing information according to the associated company.
The associated information corresponding to the listing information may include associated listing cases, associated announcements, associated letters, and the like. The equipment determines the associated information corresponding to the target marketing information according to the associated company, and can acquire the unique company identification corresponding to the associated company and acquire the associated information corresponding to the company identification according to the unique company identification.
Further, S103 may include S1031 to S1033, as shown in fig. 2, where S1031 to S1033 are specifically as follows:
s1031: and acquiring the associated marketing case and the associated notice corresponding to the associated company.
The equipment acquires the unique company identification corresponding to the associated company, and acquires the associated marketing case and the associated announcement corresponding to the company identification according to the unique company identification.
When the associated listing case corresponding to the associated company is obtained, if only one listing case is obtained, the case is directly used as the associated listing case. And if the plurality of listing cases are obtained, obtaining all the listing cases corresponding to the associated company, obtaining the announcement date and the acceptance date corresponding to the listing cases, and determining the associated listing cases corresponding to the associated company according to the announcement date, the acceptance date and a preset time screening rule. Specifically, a listing case whose acceptance date is less than or equal to the posting date and whose time is the latest may be taken as the associated listing case.
All the listed notices of the associated company are associated notices.
S1032: and acquiring all the associated functions corresponding to the associated listed cases.
According to the association relation, one association company only has one associated listed case, and according to the unique associated listed case, all the associated functions of the associated listed case are taken as all the associated functions of the association company. Wherein, the associated listed cases and the associated functions are pre-bound by specific rules.
S1033: and determining the associated information of the target listing information according to the associated listing case, the associated notice and the associated function.
The equipment can bind the associated listing case, the associated announcement and the associated mail with the associated company to serve as the associated information of the target listing information.
In this embodiment, the displayed associated information and the target marketing information can be shared, the detail page can be shared with other users, and the other users can browse the display page online in a text reading mode, a PDF plug-in mode and an excel mode.
In the embodiment of the application, target marketing information is obtained; acquiring a related company corresponding to the target listing information according to a preset acquisition rule and the target listing information; and determining the associated information corresponding to the target listing information according to the associated company. According to the method, the associated company can be directly obtained according to the target marketing information according to the preset obtaining rule, and then the corresponding associated information is obtained. The method and the device do not need to manually distinguish, manually identify, process, screen and the like on a large amount of information, improve the efficiency of obtaining the associated information, save human resources, improve the integrity of the finally obtained associated information and help a user to quickly know all the associated information.
In addition, the detailed scheme in the embodiment can automatically bind the associated listed cases, the associated mail and the associated notice, so that the relationship among the associated listed cases, the associated mail and the associated notice can be more clearly and intuitively displayed. All information in the marketing process is closely combined, and the information is displayed in a centralized and structured manner, so that the user can conveniently use and check the information. And innovating binding forms and display forms of associated listed cases, associated letters and associated announcements, helping companies to quickly locate and know associated information and timely and effectively respond.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Referring to fig. 3, fig. 3 is a schematic diagram of an associated information acquiring apparatus according to a second embodiment of the present application. The units included are used to perform the steps in the corresponding embodiments of fig. 1-2. Please refer to the related description of the embodiments in fig. 1-2. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 3, the associated information acquiring apparatus 3 includes:
a first obtaining unit 310 for obtaining target listing information;
a second obtaining unit 320, configured to obtain, according to a preset obtaining rule and the target listing information, an associated company corresponding to the target listing information;
the determining unit 330 is configured to determine, according to the related company, related information corresponding to the target listing information.
Further, the second obtaining unit 320 is specifically configured to:
acquiring a source address corresponding to the target marketing information;
and determining the related company corresponding to the target marketing information according to the source address.
Further, the second obtaining unit 320 is specifically configured to:
if the related company corresponding to the target listing information cannot be determined according to the source address, capturing key text information from the target listing information;
and determining the related company corresponding to the target listing information according to the key text information.
Further, the second obtaining unit 320 is specifically configured to:
acquiring a file title from the target listing information;
and capturing key text information from the file title according to a first preset extraction rule.
Further, the second obtaining unit 320 is specifically configured to:
acquiring file content information from the target marketing information;
and capturing key text information from the file content information according to a second preset extraction rule.
Further, the second obtaining unit 320 is specifically configured to:
and when the key text information is consistent with a preset company name, taking the preset company name as an associated company corresponding to the target listing information.
Further, the determining unit 330 is specifically configured to:
acquiring a relevant listing case and a relevant notice corresponding to the relevant company;
acquiring all associated mail corresponding to the associated listed cases;
and determining the associated information of the target listing information according to the associated listing case, the associated notice and the associated function.
Further, the determining unit 330 is specifically configured to:
acquiring all listed cases corresponding to the associated companies, and acquiring announcement dates and acceptance dates corresponding to the listed cases;
and determining the associated marketing case corresponding to the associated company according to the announcement date, the acceptance date and a preset time screening rule.
Fig. 4 is a schematic diagram of an associated information acquiring apparatus according to a third embodiment of the present application. As shown in fig. 4, the associated information acquiring apparatus 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42, such as an association information acquisition program, stored in said memory 41 and operable on said processor 40. The processor 40 executes the computer program 42 to implement the steps in the above-mentioned embodiments of the association information obtaining method, such as the steps 101 to 103 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 310 to 330 shown in fig. 4.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program 42 in the association information acquisition device 4. For example, the computer program 42 may be divided into a first acquiring unit, a second acquiring unit, and a determining unit, and each unit specifically functions as follows:
a first acquisition unit configured to acquire target listing information;
the second acquisition unit is used for acquiring the related company corresponding to the target marketing information according to a preset acquisition rule and the target marketing information;
and the determining unit is used for determining the associated information corresponding to the target listing information according to the associated company.
The associated information acquiring device may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that fig. 4 is only an example of the association information obtaining device 4, and does not constitute a limitation of the association information obtaining device 4, and may include more or less components than those shown, or combine some components, or different components, for example, the association information obtaining device may further include an input-output device, a network access device, a bus, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the associated information acquiring device 4, such as a hard disk or a memory of the associated information acquiring device 4. The memory 41 may also be an external storage device of the related information acquiring device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the related information acquiring device 4. Further, the associated information acquiring device 4 may also include both an internal storage unit and an external storage device of the associated information acquiring device 4. The memory 41 is used to store the computer program and other programs and data required by the associated information acquisition apparatus. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
An embodiment of the present application further provides a network device, where the network device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor implementing the steps of any of the various method embodiments described above when executing the computer program.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.
The embodiments of the present application provide a computer program product, which when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (10)

1. A method for acquiring associated information is characterized by comprising the following steps:
acquiring target marketing information;
acquiring a related company corresponding to the target listing information according to a preset acquisition rule and the target listing information;
and determining the associated information corresponding to the target listing information according to the associated company.
2. The method for acquiring the associated information according to claim 1, wherein acquiring the associated company corresponding to the target listing information according to a preset acquisition rule and the target listing information includes:
acquiring a source address corresponding to the target marketing information;
and determining the related company corresponding to the target marketing information according to the source address.
3. The method according to claim 2, wherein after determining the affiliate corresponding to the target listing information based on the source address, the method further comprises:
if the related company corresponding to the target listing information cannot be determined according to the source address, capturing key text information from the target listing information;
and determining the related company corresponding to the target listing information according to the key text information.
4. The method for acquiring associated information according to claim 3, wherein the capturing of the key text information from the target listing information includes:
acquiring a file title from the target listing information;
and capturing key text information from the file title according to a first preset extraction rule.
5. The method for acquiring associated information according to claim 3, wherein the capturing of the key text information from the target listing information includes:
acquiring file content information from the target marketing information;
and capturing key text information from the file content information according to a second preset extraction rule.
6. The method for acquiring the associated information according to any one of claims 3 to 5, wherein the determining the associated company corresponding to the target listing information according to the key text information includes:
and when the key text information is consistent with a preset company name, taking the preset company name as an associated company corresponding to the target listing information.
7. The method for acquiring the associated information according to claim 1, wherein the determining the associated information corresponding to the target listing information according to the associated company includes:
acquiring a relevant listing case and a relevant notice corresponding to the relevant company;
acquiring all associated mail corresponding to the associated listed cases;
and determining the associated information of the target listing information according to the associated listing case, the associated notice and the associated function.
8. The method for acquiring the related information according to claim 7, wherein the acquiring the related marketing case corresponding to the related company comprises:
acquiring all listed cases corresponding to the associated companies, and acquiring announcement dates and acceptance dates corresponding to the listed cases;
and determining the associated marketing case corresponding to the associated company according to the announcement date, the acceptance date and a preset time screening rule.
9. An association information acquisition device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any one of claims 1 to 8 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 8.
CN202011417350.XA 2020-12-07 2020-12-07 Associated information acquisition method and equipment Pending CN112612937A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011417350.XA CN112612937A (en) 2020-12-07 2020-12-07 Associated information acquisition method and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011417350.XA CN112612937A (en) 2020-12-07 2020-12-07 Associated information acquisition method and equipment

Publications (1)

Publication Number Publication Date
CN112612937A true CN112612937A (en) 2021-04-06

Family

ID=75229139

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011417350.XA Pending CN112612937A (en) 2020-12-07 2020-12-07 Associated information acquisition method and equipment

Country Status (1)

Country Link
CN (1) CN112612937A (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105930461A (en) * 2016-04-21 2016-09-07 成都数联铭品科技有限公司 Data processing method for realizing associated information node visualization tracking
CN107066599A (en) * 2017-04-20 2017-08-18 北京文因互联科技有限公司 A kind of similar enterprise of the listed company searching classification method and system of knowledge based storehouse reasoning
CN107403375A (en) * 2017-04-19 2017-11-28 北京文因互联科技有限公司 A kind of listed company's bulletin classification and abstraction generating method based on deep learning
CN108763507A (en) * 2018-05-30 2018-11-06 北京百度网讯科技有限公司 Enterprise's incidence relation method for digging and device
CN110096568A (en) * 2019-03-22 2019-08-06 泰康保险集团股份有限公司 Method, apparatus, equipment and storage medium for Listed Companies Achievement by Using early warning
CN110147360A (en) * 2019-04-03 2019-08-20 深圳价值在线信息科技股份有限公司 A kind of data integration method, device, storage medium and server
WO2019242124A1 (en) * 2018-06-19 2019-12-26 平安科技(深圳)有限公司 Sum of money information extraction method and apparatus, and terminal device and medium
CN111177511A (en) * 2019-12-24 2020-05-19 平安资产管理有限责任公司 Method and device for acquiring and analyzing announcement information by using crawler
CN111583033A (en) * 2020-04-01 2020-08-25 北京智信度科技有限公司 Association analysis method and device based on relation between listed company and stockholder

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105930461A (en) * 2016-04-21 2016-09-07 成都数联铭品科技有限公司 Data processing method for realizing associated information node visualization tracking
CN107403375A (en) * 2017-04-19 2017-11-28 北京文因互联科技有限公司 A kind of listed company's bulletin classification and abstraction generating method based on deep learning
CN107066599A (en) * 2017-04-20 2017-08-18 北京文因互联科技有限公司 A kind of similar enterprise of the listed company searching classification method and system of knowledge based storehouse reasoning
CN108763507A (en) * 2018-05-30 2018-11-06 北京百度网讯科技有限公司 Enterprise's incidence relation method for digging and device
WO2019242124A1 (en) * 2018-06-19 2019-12-26 平安科技(深圳)有限公司 Sum of money information extraction method and apparatus, and terminal device and medium
CN110096568A (en) * 2019-03-22 2019-08-06 泰康保险集团股份有限公司 Method, apparatus, equipment and storage medium for Listed Companies Achievement by Using early warning
CN110147360A (en) * 2019-04-03 2019-08-20 深圳价值在线信息科技股份有限公司 A kind of data integration method, device, storage medium and server
CN111177511A (en) * 2019-12-24 2020-05-19 平安资产管理有限责任公司 Method and device for acquiring and analyzing announcement information by using crawler
CN111583033A (en) * 2020-04-01 2020-08-25 北京智信度科技有限公司 Association analysis method and device based on relation between listed company and stockholder

Similar Documents

Publication Publication Date Title
CN107945024B (en) Method for identifying internet financial loan enterprise operation abnormity, terminal equipment and storage medium
CN110163478B (en) Risk examination method and device for contract clauses
CN113886584A (en) Information detection method, device and equipment for application program
CN109885597B (en) User grouping processing method and device based on machine learning and electronic terminal
CN110909123B (en) Data extraction method and device, terminal equipment and storage medium
CN109992752A (en) Label labeling method, device, computer installation and the storage medium of contract documents
US20130332374A1 (en) Fraud prevention for real estate transactions
CN112328936A (en) Website identification method, device and equipment and computer readable storage medium
CN112506981A (en) Online training service pushing method and device
CN111476013A (en) Information collection method, information collection device, information collection medium, and electronic device
CN115098440A (en) Electronic archive query method, device, storage medium and equipment
CN112765965A (en) Text multi-label classification method, device, equipment and storage medium
US8131546B1 (en) System and method for adaptive sentence boundary disambiguation
CN112488886A (en) Litigation information extraction system, method and equipment based on Python
CN114491134B (en) Trademark registration success rate analysis method and system
CN112612937A (en) Associated information acquisition method and equipment
CN114495138A (en) Intelligent document identification and feature extraction method, device platform and storage medium
CN116976800A (en) Data processing method and device, storage medium and electronic equipment
Daly et al. A technique for detecting plagiarism in computer code
CN112487209A (en) String mark behavior analysis method based on knowledge graph, terminal equipment and storage medium
CN114067343A (en) Data set construction method, model training method and corresponding device
CN112488557A (en) Automatic calculation method, device and terminal based on grading standard objective scores
CN111460152A (en) Extraction method, extraction device and extraction equipment for announcement text content
CN111914542A (en) Suspected illegal investment market subject identification method, device, terminal and storage medium
CN111552706A (en) Public opinion information grouping method, device and equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210406