CN113204653A - Demand value labeling method and device, computer equipment and readable storage medium - Google Patents
Demand value labeling method and device, computer equipment and readable storage medium Download PDFInfo
- Publication number
- CN113204653A CN113204653A CN202110625381.2A CN202110625381A CN113204653A CN 113204653 A CN113204653 A CN 113204653A CN 202110625381 A CN202110625381 A CN 202110625381A CN 113204653 A CN113204653 A CN 113204653A
- Authority
- CN
- China
- Prior art keywords
- value
- label
- labeling
- document
- demand
- 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
Links
- 238000002372 labelling Methods 0.000 title claims abstract description 56
- 238000003860 storage Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 27
- 230000008859 change Effects 0.000 claims abstract description 14
- 238000004590 computer program Methods 0.000 claims description 16
- 230000004044 response Effects 0.000 abstract description 7
- 230000002349 favourable effect Effects 0.000 abstract 3
- 238000010586 diagram Methods 0.000 description 11
- 230000008569 process Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 230000009471 action Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000006854 communication Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/383—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/103—Formatting, i.e. changing of presentation of documents
- G06F40/117—Tagging; Marking up; Designating a block; Setting of attributes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the invention provides a method and a device for marking demand value, computer equipment and a readable storage medium, which can be used in the field of big data or other fields; wherein, the method comprises the following steps: receiving a required document to be marked; matching the document to be marked with the label key words, wherein the label key words and the label value have a corresponding relation; and marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key word based on the corresponding relation. The scheme is favorable for improving the efficiency of labeling, realizes value calibration in an agile mode, is favorable for improving the accuracy of value labeling, can be matched with the demand document through the changed label keywords in real time even if the label keywords and the label values are changed, can label the demand document based on the changed label values, and is favorable for improving the response of the value labeling to the value change.
Description
Technical Field
The invention particularly relates to a demand value labeling method and device, computer equipment and a readable storage medium. It should be noted that the method, the device, the computer device and the readable storage medium for labeling the demand value can be used in the field of big data, and can also be used in any field except the field of big data.
Background
With the rapid popularization of the agile mode, how to rapidly identify and judge the value of the demand becomes very important.
At present, the marking of demand value mainly depends on communication with business personnel, or business analysts look up demand content, search keywords, and then manually mark.
The existing demand value labeling method has the following defects: depending on the existing communication process, comprehension ambiguity easily occurs, a large amount of manpower is wasted, the efficiency is low, and the response is slow when the demand value changes.
Disclosure of Invention
The embodiment of the invention provides a demand value labeling method, which aims to solve the technical problems of low efficiency, low accuracy and slow response to change of a value in demand value labeling in the prior art. The method comprises the following steps:
receiving a required document to be marked;
matching the document to be marked with the label key words, wherein the label key words and the label value have a corresponding relation;
and marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key word based on the corresponding relation.
The embodiment of the invention also provides a demand value labeling device, which is used for solving the technical problems of low efficiency, low accuracy and slow response to price change of demand value labeling in the prior art. The device includes:
the document receiving module is used for receiving a required document to be marked;
the matching module is used for matching the document to be marked with the label key words, wherein the label key words and the label value have a corresponding relation;
and the marking module is used for marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key word based on the corresponding relation.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the arbitrary demand value labeling method when executing the computer program so as to solve the technical problems of low efficiency, low accuracy and slow response to price value change of demand value labeling in the prior art.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing any demand value labeling method is stored in the computer-readable storage medium, so as to solve the technical problems of low efficiency, low accuracy, and slow response to change of value in demand value labeling in the prior art.
In the embodiment of the invention, after receiving a demand document to be labeled, matching the demand document to be labeled with the label key words, and labeling the value of the demand document to be labeled according to the label value corresponding to the successfully matched label key words based on the corresponding relation between the label key words and the label value, so that the value of the demand document to be labeled can be automatically labeled according to the matching condition of the demand document to be labeled and the label key words; in addition, the valuing of the tag keywords is realized through the corresponding relation between the tag keywords and the tag values, and then the required value labeling is realized through the mode of automatically matching the tag keywords.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flowchart of a demand value labeling method according to an embodiment of the present invention;
fig. 2 is a flowchart of determining a tag value corresponding to a tag keyword according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for marking a value of a document to be marked according to an embodiment of the present invention;
FIG. 4 is a block diagram of a computer device according to an embodiment of the present invention;
FIG. 5 is a block diagram of a demand value labeling apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In an embodiment of the present invention, a demand value labeling method is provided, as shown in fig. 1, the method includes:
step 102: receiving a required document to be marked;
step 104: matching the document to be marked with the label key words, wherein the label key words and the label value have a corresponding relation;
step 106: and marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key word based on the corresponding relation.
As can be seen from the flow shown in fig. 1, in the embodiment of the present invention, after receiving a demand document to be labeled, matching the demand document to be labeled with a tag keyword, and then labeling the value of the demand document to be labeled according to the tag value corresponding to the tag keyword that is successfully matched based on the corresponding relationship between the tag keyword and the tag value, so that the value of the demand document to be labeled can be automatically labeled according to the matching condition between the demand document to be labeled and the tag keyword, as compared with the prior art, manual labeling is avoided, which is beneficial to improving labeling efficiency, and value calibration in an agile mode is realized; in addition, the valuing of the tag keywords is realized through the corresponding relation between the tag keywords and the tag values, and then the required value labeling is realized through the mode of automatically matching the tag keywords.
In specific implementation, the required document to be marked can be a required document of any service, and the document form is not limited in the application and can be matched with keywords.
During specific implementation, the process of receiving the documents to be marked can receive the documents to be marked in batches, and then match and mark values of the documents to be marked, so that batch marking of the documents to be marked is realized, and efficiency is further improved.
In specific implementation, the tag keywords may be determined according to specific business requirements, social contexts, and other conditions, and may determine a plurality of tag keywords, for example, the tag keywords include regulatory requirements, epidemic prevention requirements, winter congress 2020, product optimization, and the like. Specifically, a tag library may be configured to store tag keywords and corresponding tag values.
In specific implementation, in order to implement the value of the tag keyword and then swiftly and accurately label the value of the document in need, in this embodiment, as shown in fig. 2, the tag value corresponding to the tag keyword is determined through the following steps:
step 202: determining the label type of the label key words according to the service demand type;
step 204: determining a tag category value according to the value of the tag category;
step 206: and determining the label category value corresponding to the label key word as the label value of the label key word.
In specific implementation, the tag category of the tag keyword may be determined according to the service demand category in the demand text, for example, the service demand category in the demand text may be determined as the tag category of the tag keyword according to the supervision requirement (multiple tags such as pedestrian supervision, police supervision, court supervision, and the like may be provided under the supervision requirement), the strategic importance, the function optimization, the security vulnerability, and the like, and then the tag category value is determined according to the self-value of different tag categories, that is, the higher the value of the tag category, the higher the corresponding tag category value. Specifically, the values of the label categories such as supervision requirements, strategic emphasis, security holes and the like are high, so that the corresponding label category values are also high, and the values of the label categories such as functional optimization and the like are low, so that the corresponding label category values are also low.
In specific implementation, the value of the tag corresponding to each tag keyword may be high, medium, low, and the like.
In specific implementation, a tag library can be established to store tag keywords, the tag keywords in the tag library can be expanded or deleted according to national policies, strategic deployment, policy requirements and the like, the tag library can have attributes of tag categories, tag category values, single tag descriptions and the like of the tag keywords, and the tag category values are tag values corresponding to the tag keywords, so that each tag keyword has a value. When the tag keywords of the required document to be labeled are matched with the plurality of tag keywords in the tag library, the value of the tag keywords of the required document to be labeled is the same as the value of the tags corresponding to the matched tag keywords in the tag library.
In specific implementation, after the document to be labeled is matched with the tag keyword, the value of the document to be labeled can be determined according to the matching result, for example, as shown in fig. 3, the process of labeling the value of the document to be labeled according to the tag value corresponding to the tag keyword successfully matched can be realized by the following steps:
step 302: sorting the label values corresponding to the successfully matched label keywords;
step 304: and marking the label value with the highest value as the value of the required document to be marked.
Specifically, the process of sorting the tag values corresponding to the successfully matched tag keywords may be sorting from high value to low value, or sorting from low value to high value.
In specific implementation, in order to further improve the response of value labeling to change, in this embodiment, when the change of the correspondence is detected, the labeled demand document is re-matched with the current tag keyword;
and based on the changed corresponding relation, re-labeling the value of the required document according to the label value corresponding to the successfully matched label key words.
Specifically, the corresponding relation change can be a tag keyword change and/or a tag value change, the tag library can increase, delete, check and modify the tag keyword according to business needs through the management end, modify the tag value, and when the corresponding relation change is detected, re-match the marked demand document with the current tag keyword in real time; and then, re-labeling the value of the required document according to the label value corresponding to the successfully matched label key words.
In specific implementation, the process of matching the requirement document with the tag keyword can be implemented in a background management end.
In specific implementation, after the value of the required document is labeled, the labeling result can be fed back to a service analyst and a client in a display, sending and other modes, so that the value priority of the required document can be rapidly and accurately judged according to the value of the labeling result.
In this embodiment, a computer device is provided, as shown in fig. 4, and includes a memory 402, a processor 404, and a computer program stored on the memory and executable on the processor, and the processor implements any of the above-mentioned methods for assigning a demand value when executing the computer program.
In particular, the computer device may be a computer terminal, a server or a similar computing device.
In the present embodiment, there is provided a computer-readable storage medium storing a computer program for executing the method of labeling a demand value as described above.
In particular, computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer-readable storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable storage medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Based on the same inventive concept, the embodiment of the present invention further provides a device for marking demand value, as described in the following embodiments. Because the principle of the demand value labeling device for solving the problem is similar to that of the demand value labeling method, the implementation of the demand value labeling device can refer to the implementation of the demand value labeling method, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 5 is a block diagram of a structure of a device for labeling a demand price according to an embodiment of the present invention, as shown in fig. 5, the device includes:
a document receiving module 502, configured to receive a document to be marked;
a matching module 504, configured to match the document to be labeled with a tag keyword, where the tag keyword and a tag value have a corresponding relationship;
and the labeling module 506 is configured to label the value of the to-be-labeled demand document according to the label value corresponding to the successfully matched label keyword based on the corresponding relationship.
In one embodiment, the labeling module includes:
the value sorting unit is used for sorting the label values corresponding to the successfully matched label keywords;
and the marking unit is used for marking the label value with the highest value as the value of the required document to be marked.
In one embodiment, further comprising:
the category determination module is used for determining the label category of the label keyword according to the service requirement category;
the category value determining module is used for determining the value of the label category according to the value of the label category;
and the tag value determining module is used for determining the tag category value corresponding to the tag keyword as the tag value of the tag keyword.
In one embodiment, the matching module is further configured to, when detecting that the correspondence relationship is changed, re-match the marked requirement document with the current tag keyword;
and the labeling module is also used for re-labeling the value of the required document according to the label value corresponding to the successfully matched label key words based on the changed corresponding relation.
The embodiment of the invention realizes the following technical effects: after receiving the required document to be marked, matching the required document to be marked with the label key words, marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key words based on the corresponding relation between the label key words and the label value, and realizing automatic marking of the value of the required document to be marked according to the matching condition of the required document to be marked and the label key words; in addition, the valuing of the tag keywords is realized through the corresponding relation between the tag keywords and the tag values, and then the required value labeling is realized through the mode of automatically matching the tag keywords.
Although the present invention provides method steps as described in the examples or flowcharts, more or fewer steps may be included based on routine or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, apparatus (system) or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A demand value labeling method is characterized by comprising the following steps:
receiving a required document to be marked;
matching the document to be marked with the label key words, wherein the label key words and the label value have a corresponding relation;
and marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key word based on the corresponding relation.
2. The method for labeling demand value according to claim 1, wherein labeling the value of the demand document to be labeled according to the label value corresponding to the successfully matched label keyword comprises:
sorting the label values corresponding to the successfully matched label keywords;
and marking the label value with the highest value as the value of the required document to be marked.
3. The method for labeling demand values as set forth in claim 1, further comprising:
determining the label type of the label key words according to the service demand type;
determining a tag category value according to the value of the tag category;
and determining the label category value corresponding to the label key word as the label value of the label key word.
4. The demand value labeling method according to any one of claims 1 to 3, further comprising:
when the corresponding relation change is detected, re-matching the marked requirement document with the current label keyword;
and based on the changed corresponding relation, re-labeling the value of the required document according to the label value corresponding to the successfully matched label key words.
5. A demand value labeling apparatus, comprising:
the document receiving module is used for receiving a required document to be marked;
the matching module is used for matching the document to be marked with the label key words, wherein the label key words and the label value have a corresponding relation;
and the marking module is used for marking the value of the required document to be marked according to the label value corresponding to the successfully matched label key word based on the corresponding relation.
6. The demand value labeling apparatus of claim 5, wherein the labeling module comprises:
the value sorting unit is used for sorting the label values corresponding to the successfully matched label keywords;
and the marking unit is used for marking the label value with the highest value as the value of the required document to be marked.
7. The demand value labeling apparatus of claim 5, further comprising:
the category determination module is used for determining the label category of the label keyword according to the service requirement category;
the category value determining module is used for determining the value of the label category according to the value of the label category;
and the tag value determining module is used for determining the tag category value corresponding to the tag keyword as the tag value of the tag keyword.
8. The demand value labeling apparatus according to any one of claims 5 to 7,
the matching module is further used for re-matching the marked requirement document with the current label keyword when the corresponding relation change is detected;
and the labeling module is also used for re-labeling the value of the required document according to the label value corresponding to the successfully matched label key words based on the changed corresponding relation.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of demand value annotation according to any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium characterized by storing a computer program for executing the demand value labeling method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110625381.2A CN113204653A (en) | 2021-06-04 | 2021-06-04 | Demand value labeling method and device, computer equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110625381.2A CN113204653A (en) | 2021-06-04 | 2021-06-04 | Demand value labeling method and device, computer equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113204653A true CN113204653A (en) | 2021-08-03 |
Family
ID=77024684
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110625381.2A Pending CN113204653A (en) | 2021-06-04 | 2021-06-04 | Demand value labeling method and device, computer equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113204653A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8103650B1 (en) * | 2009-06-29 | 2012-01-24 | Adchemy, Inc. | Generating targeted paid search campaigns |
| CN107870927A (en) * | 2016-09-26 | 2018-04-03 | 上海泓智信息科技有限公司 | File appraisal procedure and device |
| CN109284441A (en) * | 2018-09-18 | 2019-01-29 | 中国人民解放军战略支援部队信息工程大学 | Dynamic self-adapting network sensitive information detection method and device |
| WO2019041524A1 (en) * | 2017-08-31 | 2019-03-07 | 平安科技（深圳）有限公司 | Method, electronic apparatus, and computer readable storage medium for generating cluster tag |
| CN112307210A (en) * | 2020-11-06 | 2021-02-02 | 中冶赛迪工程技术股份有限公司 | Document tag prediction method, system, medium and electronic device |
-
2021
- 2021-06-04 CN CN202110625381.2A patent/CN113204653A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8103650B1 (en) * | 2009-06-29 | 2012-01-24 | Adchemy, Inc. | Generating targeted paid search campaigns |
| CN107870927A (en) * | 2016-09-26 | 2018-04-03 | 上海泓智信息科技有限公司 | File appraisal procedure and device |
| WO2019041524A1 (en) * | 2017-08-31 | 2019-03-07 | 平安科技（深圳）有限公司 | Method, electronic apparatus, and computer readable storage medium for generating cluster tag |
| CN109284441A (en) * | 2018-09-18 | 2019-01-29 | 中国人民解放军战略支援部队信息工程大学 | Dynamic self-adapting network sensitive information detection method and device |
| CN112307210A (en) * | 2020-11-06 | 2021-02-02 | 中冶赛迪工程技术股份有限公司 | Document tag prediction method, system, medium and electronic device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111125086B (en) | Method, device, storage medium and processor for acquiring data resources | |
| CN110895544B (en) | Interface data processing method, device, system and storage medium | |
| CN110674360B (en) | Tracing method and system for data | |
| CN114493551B (en) | Contract generation method and device, electronic equipment and storage medium | |
| CN113407599A (en) | Text data based standardized processing method and equipment | |
| CN110046188A (en) | Method for processing business and its system | |
| CN108876314B (en) | Career professional ability traceable method and platform | |
| CN113221036B (en) | Method and device for processing electronic bill mail | |
| CN117708857A (en) | Method and device for detecting electronic file, electronic equipment and medium | |
| US20230418842A1 (en) | Data processing independent of storage, format or schema | |
| CN110765100B (en) | Label generation method and device, computer readable storage medium and server | |
| CN110544467A (en) | Voice data auditing method, device, equipment and storage medium | |
| CN109740130B (en) | Method and device for generating file | |
| CN113204653A (en) | Demand value labeling method and device, computer equipment and readable storage medium | |
| CN116821903A (en) | Detection rule determination and malicious binary file detection method, device and medium | |
| CN111753020A (en) | Method and device for establishing relational network model | |
| CN113609825B (en) | Intelligent customer attribute tag identification method and device | |
| CN112001792B (en) | Configuration information consistency detection method and device | |
| CN111723122A (en) | Method, device and equipment for determining association rule between data and readable storage medium | |
| CN114329495A (en) | Endogenous security based asset vulnerability static analysis method and device | |
| CN111143203B (en) | Machine learning method, privacy code determination method, device and electronic equipment | |
| CN112256566A (en) | Test case preservation method and device | |
| US8688692B2 (en) | High quantitative pattern searching using spatial indexing | |
| CN112749541A (en) | Data verification system, method, device, electronic equipment and computer readable medium | |
| CN112364181A (en) | Insurance product matching degree determination method and device |
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 |