CN109800304A - Processing method, device, equipment and the medium of case notes - Google Patents
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- CN109800304A CN109800304A CN201811646022.XA CN201811646022A CN109800304A CN 109800304 A CN109800304 A CN 109800304A CN 201811646022 A CN201811646022 A CN 201811646022A CN 109800304 A CN109800304 A CN 109800304A
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Abstract
The present invention provides a kind of processing method of case notes, comprising: extracts the content in case notes, is translated into plain text data；Participle extraction is carried out to plain text data using semantic rules and participle model, obtains required keyword；Interdependent syntactic analysis and reference resolution, the notes data classified are carried out to keyword；According to the notes data of classification, calculating is associated to the corresponding case of same type notes data, obtains similar case string and result.By this kind of method, the string of multiple cases can be quickly and efficiently obtained and as a result, so that investigator carries out investigations to case to case, greatly improve investigation efficiency.The present invention also provides a kind of case notes processing unit, a kind of electronic equipment and a kind of computer-readable mediums.
Description
Technical field
Processing method, device, equipment and Jie that the present invention is applied to case investigation field more particularly to a kind of case is put down
Matter.
Background technique
Current public security industry intelligence department without automatically extract case notes and string and method, but pass through manual processing.
If manual read puts down, manual extraction element information therein, and identify classification and typing, then according to the information of extraction into
The analysis and detection of row case, when facing a large amount of cases, are difficult timely to complete each case in current police strength
Information extraction, low efficiency of solving a case but will lead to can not tracking down for case.Therefore, a kind of efficient case notes processing side is designed
Method is highly desirable.
Summary of the invention
(1) technical problems to be solved
For presently, there are the technical issues of, the present invention proposes a kind of processing method of case notes, by automatically extracting
To the key message of case notes content, classified according to these key messages to notes content, according to the notes number of classification
It is gone here and there simultaneously according to case, obtains string and result.
(2) technical solution
The present invention provides a kind of processing method of case notes, comprising: extracts the content in case notes, is translated into
Plain text data；Participle extraction is carried out to plain text data using semantic rules and participle model, obtains required keyword；To pass
Keyword carries out interdependent syntactic analysis and reference resolution, the notes data classified；According to the notes data of classification, to mutually similar
The corresponding case of type notes data is associated calculating, obtains similar case string and result.
Optionally, the content in the case notes is extracted, is translated into plain text data, comprising: put down to case
Scanned copy carry out image preprocessing；Printed page analysis and identification are carried out to pretreated scanned copy, obtain plain text data.
Optionally, plain text data is carried out participle to extract including: to use language first using semantic rules and participle model
Adopted rule carries out participle extraction to plain text data；Then participle extraction is carried out to plain text data using participle model.
Optionally, image preprocessing includes Slant Rectify, increases contrast and brightness, removes watermark and go in interfering line
At least one.
Optionally, according to the notes data of classification, calculating is associated to the corresponding case of same type notes data, is wrapped
It includes: being classified with victim and suspect, calculating is associated to the corresponding case of notes data respectively.
Optionally, image preprocessing, printed page analysis are carried out to the scanned copy that case is put down using optical character recognition technology
And identification.
Optionally, version is carried out to pretreated scanned copy based on connection text neural network and convolution loop neural network
Surface analysis and identification.
Another aspect of the present invention also provides a kind of processing unit of case notes, which includes: data conversion module, is used
In extracting the content in case notes, it is translated into plain text data；Word segmentation module, for using semantic rules and participle mould
Type carries out participle extraction to plain text data, obtains required keyword；Categorization module, for carrying out interdependent syntax point to keyword
Analysis and reference resolution, the notes data classified；String and module, for the notes data according to classification, to same type pen
The corresponding case of record data is associated calculating, obtains similar case string and result.
Another aspect of the present invention also provides a kind of electronic equipment, comprising: processor；Memory, being stored with computer can
Program is executed, the program by the processor when being executed, so that the processor executes the Website Usability prison in the present invention
Survey method.
Another aspect of the present invention also provides a kind of computer-readable medium, is stored thereon with computer program, the program quilt
The Website Usability monitoring method in the present invention is realized when processor executes.
(3) beneficial effect
The processing method of a kind of case notes provided by the invention, by automatically extracting element and progress in case notes
The classification of victim and suspect simultaneously carry out case string simultaneously, are investigated the case with going here and there result simultaneously, greatly improve investigation effect
Rate.
Detailed description of the invention
For a more complete understanding of the present invention and its advantage, referring now to being described below in conjunction with attached drawing, in which:
Fig. 1 diagrammatically illustrates the schematic diagram of the processing method of case notes according to an embodiment of the present invention.
Fig. 2 diagrammatically illustrates the processing method flow chart of case notes according to an embodiment of the present invention
Fig. 3 diagrammatically illustrates the block diagram of the processing unit of case notes according to an embodiment of the present invention.
Fig. 4 diagrammatically illustrates the block diagram of electronic equipment according to an embodiment of the present invention.
Specific embodiment
Hereinafter, will be described with reference to the accompanying drawings the embodiment of the present invention.However, it should be understood that these descriptions are only exemplary
, and be not intended to limit the scope of the invention.In the following detailed description, to elaborate many specific thin convenient for explaining
Section is to provide the comprehensive understanding to the embodiment of the present invention.It may be evident, however, that one or more embodiments are not having these specific thin
It can also be carried out in the case where section.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid
Unnecessarily obscure idea of the invention.
The embodiment of the present invention proposes a kind of processing method of case notes.Its basic principle is as shown in Figure 1, by case
It puts down data and carries out rule match, keyword is extracted according to rule if successful match, basis is divided if it fails to match
Word model extraction keyword is solved the word of extraction using interdependent syntax and reference resolution, the notes data classified, according to
The notes data of classification are classified with suspect's information and victim's information, are carried out to the corresponding case of same type notes data
Association calculates, and obtains similar case string and as a result, the string and result are analyzed and investigated for people's police, to improve cracking of cases
Efficiency.This method is described in detail below.
Fig. 2 diagrammatically illustrates the flow chart of case notes processing method according to an embodiment of the present invention.
As shown in Fig. 2, this method comprises:
S1 extracts the content in case notes, is translated into plain text data.
Under normal circumstances, the notes data of case are saved by way of scanned copy (image), if with text
Form saves, it is easy to cause notes data arbitrarily to be distorted, the preservation of scanned copy has prevented the problem well.But working as needs
When automatically extracting notes data using computer language, image data there is many problems, and therefore, it is necessary to by image data
Plain text data is converted into carry out subsequent operation.In embodiments of the present invention, using optical character recognition technology
(Optical Character Recognition, OCR) extracts the data content in notes data scanning part, is translated into
Plain text data.It is specific as follows:
Firstly, carrying out image preprocessing to notes data scanning part, including notes data scanning part tilt
Correction removes watermark, increases contrast and highlights, removes interfering line etc..Image preprocessing is using open source computer vision library
(Open Source Computer Vision Library, OpenCV), the computer vision library may operate in Linux,
In Windows, Android and Mac OS operating system.Its lightweight and efficiently --- by a series of C functions and a small amount of C++
Class is constituted, while providing the interface of the language such as Python, Ruby, MATLAB, realizes image procossing and computer vision side
Many general-purpose algorithms in face.Wherein, image degree pretreatment is not limited in computer vision library of increasing income, other can be made with phase
The vision library of congenerous, the specific present invention are without restriction.
Then, the analysis and identification to the data scanning part progress space of a whole page is put down after image preprocessing, will specifically put down number
According to being converted into plain text data.The analysis and identification of the space of a whole page are to propose neural network (Connectionist based on connection text
Text Proposal Network, CPTN) and convolution loop neural network (Convolution Recurrent Neural
Networks, CRNN) realize.
S2 carries out participle extraction to plain text data using semantic rules and participle model, obtains required keyword.
During criminal investigation, need to obtain the keyword in notes data, such as: it forces open the door, electricity swindleness, net swindleness, steals, loses
Track, specific telephone number, name etc., these require to extract from text data.Therefore, the present embodiment is using rule
It then extracts and participle model extracts the mode combined and extracts required keyword, guarantee the comprehensive of content.Specifically, first
Semantic rules are formulated according to the attribute feature of keyword, used in the embodiment of the present invention is that regularity carries out rule to keyword
Matching, extracts the keyword of successful match by the way of Rule Extraction.Then, for the key that it fails to match
Word continues to extract using participle model, and the present embodiment handles packet (Han Language using Chinese
Processing, HanLP) in participle model remaining keyword extracted to undrawn text, and with index and
Label.
S3 carries out interdependent syntactic analysis and reference resolution, the notes data classified to keyword.
Interdependent syntax is the dependence being depicted between each word.Namely it indicates and is taken between word syntactical
With relationship, reference resolution is the problem of which noun phrase determining pronoun is directed toward.Therefore adopting this method quick can obtain
To the subject-predicate language of required keyword.The present embodiment handles the syntactic analysis in packet using Chinese, by syntactic analysis and
Reference resolution, obtains the front and back subject of keyword, predicate, such as: " I has made a call three times to Zhang San, and telephone number is '
13121212112 ', then here in syntactic analysis can there are two pronoun " I ", " Zhang San ", determine this number home in
Whose specific steps: the first step first judges above whether specify the affiliated of this number, if it is confirmed that, directly determine, the
Two steps, if uncertain, further according to semantic rules, a pronoun+", with, take ... "+attribute show that this keyword is to belong to
In this pronoun.Third step just uses A+ " dialing "+" phone ", A+ " being given to " etc. if the above rule is all unsatisfactory for
Some special event rules determine, the 4th step, if there are two pronouns also, above-mentioned all uncertain in sentence, then according to
According to the distance of distance (index distance)+(part of speech before keyword)+rear pronoun of the preceding pronoun of keyword, carries out closing on subject and add
Power summation, obtains a numerical value, is judged, to carry out the affiliated differentiation of keyword.According to final judging result, to pen
Record data are classified, the notes data classified.
S4 is associated calculating to the corresponding case of same type notes data, obtains same according to the notes data of classification
Class case string and result.
The string of case and be by crime means, trace, material evidence etc. analyze, obtain the inner link of case, will be multiple
Case string simultaneously examined together, in this way can raising case greatly detection efficiency.The notes data of classification are to carry out
Case string and strong basis easily can just obtain same type, identical element according to the notes data of classification
Case data inner link is classified to these same types, the case data of identical element with victim and suspect, is closed
Online is calculated, and the string and result of case are obtained.The string and result are used for people's police and analyze and investigate, clear up a criminal case.For example, needle
For the case of telecommunication fraud, the clique of a telecommunication fraud may mostly commit a crime, these case surfaces seem to have no
Connection, but by carrying out detailed analysis to case notes, may analyze the telephone number for doing these telecommunication frauds has one
Be a bit it is the same, pass through these telephone numbers, so that it may by these telecommunication fraud cases do association calculate, simultaneously by all case strings
Get up, is investigated together with going here and there result simultaneously to these swindle cases, wherein swindle case together when cracking, may allow for owning
Swindle case is tracked down, the investigation efficiency greatlyd improve.But these are gone here and there and require to build aforementioned mentioned slave magnanimity in
Notes data in, find out the incidence relation of these cases, artificially go screening notes data be difficult to realize.
In conclusion the present invention proposes a kind of processing method for putting down data, by extracting from a large amount of notes data
The case string of identical type and getting up is tracked down together according to these keywords, greatly improves criminal investigation efficiency by keyword out.
Fig. 3 diagrammatically illustrates the block diagram of the processing unit 300 of notes data according to an embodiment of the present invention.
As shown in figure 3, the processing unit 300 of the notes data includes data conversion module 310, word segmentation module 320, classification
Module 330 and string and module 340.
Data conversion module 310 is translated into plain text data for extracting the content in case notes.Specifically,
Firstly, carrying out image preprocessing to notes data scanning part, including carry out Slant Rectify is carried out to notes data scanning part, removed
Watermark increases contrast and highlights, removes interfering line etc., then, carries out the space of a whole page to data scanning part is put down after image preprocessing
Specific notes data are converted plain text data by analysis and identification.
Word segmentation module 320 obtains institute for carrying out participle extraction to plain text data using semantic rules and participle model
Need keyword.Specifically, rule match is carried out to keyword using regularity, rule is used for the keyword of successful match
The mode of extraction extracts, and for the keyword that it fails to match, continues to extract using participle model.
Categorization module 330, for carrying out interdependent syntactic analysis and reference resolution, the notes number classified to keyword
According to.
It goes here and there and module 340 closes the corresponding case of same type notes data for the notes data according to classification
Online is calculated, and similar case string and result are obtained.
It should be appreciated that simultaneously module 340 can merge for data conversion module 310, word segmentation module 320, categorization module 330 and string
It is realized in a module or any one module therein can be split into multiple modules.Alternatively, in these modules
At least partly function of one or more modules can be combined at least partly function of other modules, and in a module
It realizes.According to an embodiment of the invention, data conversion module 310, word segmentation module 320, categorization module 330 and string and module 340
At least one of can at least be implemented partly as hardware circuit, such as it is field programmable gate array (FPGA), programmable
Logic array (PLA), system on chip, the system on substrate, the system in encapsulation, specific integrated circuit (ASIC), or can be with
The hardware such as any other rational method that is integrated or encapsulating or firmware are carried out to realize to circuit, or with software, hardware and
The appropriately combined of firmware three kinds of implementations is realized.Alternatively, data conversion module 310, word segmentation module 320, categorization module 330
And at least one of string and module 340 can at least be implemented partly as computer program module, when the program is calculated
When machine is run, the function of corresponding module can be executed.
The present invention provides a kind of electronic equipment, as shown in figure 4, the electronic equipment 400 includes processor 410 and memory
420.The method that the electronic equipment 400 can execute the embodiment of the present invention according to figure 1.
Specifically, processor 410 for example may include general purpose microprocessor, instruction set processor and/or related chip group
And/or special microprocessor (for example, specific integrated circuit (ASIC)), etc..Processor 410 can also include using for caching
The onboard storage device on way.Processor 410 can be the different movements for executing the method flow according to the embodiment of the present disclosure
Single treatment unit either multiple processing units.
Memory 420, such as can be the arbitrary medium can include, store, transmitting, propagating or transmitting instruction.For example,
Readable storage medium storing program for executing can include but is not limited to electricity, magnetic, optical, electromagnetic, infrared or semiconductor system, device, device or propagate Jie
Matter.The specific example of readable storage medium storing program for executing includes: magnetic memory apparatus, such as tape or hard disk (HDD)；Light storage device, such as CD
(CD-ROM)；Memory, such as random access memory (RAM) or flash memory；And/or wire/wireless communication link.
Memory 420 may include computer program 421, which may include that code/computer can be held
Row instruction, executes processor 410 according to the method for the embodiment of the present disclosure or its any change
Shape.
Computer program 421 can be configured to have the computer program code for example including computer program module.Example
Such as, in the exemplary embodiment, the code in computer program 421 may include at least one program module, for example including module
421A, module 421B ....It should be noted that the division mode and number of module are not fixation, those skilled in the art can
To be combined according to the actual situation using suitable program module or program module, when these program modules are combined by processor 410
When execution, processor 410 is executed according to the method for the embodiment of the present disclosure or its any deformation.
The disclosure additionally provides a kind of computer-readable medium, which, which can be in above-described embodiment, retouches
Included in the equipment/device/system stated；It is also possible to individualism, and without in the supplying equipment/device/system.On
It states computer-readable medium and carries one or more program, when said one or multiple programs are performed, realize root
According to the method for the embodiment of the present disclosure.
In accordance with an embodiment of the present disclosure, computer-readable medium can be computer-readable signal media or computer can
Read storage medium either the two any combination.Computer readable storage medium for example can be --- but it is unlimited
In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or any above combination.It calculates
The more specific example of machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, portable of one or more conducting wires
Formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable programmable read only memory
(EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or
The above-mentioned any appropriate combination of person.In the disclosure, computer readable storage medium can be it is any include or storage program
Tangible medium, which can be commanded execution system, device or device use or in connection.And in this public affairs
In opening, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to
Electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable
Any computer-readable medium other than storage medium, the computer-readable medium can send, propagate or transmit for by
Instruction execution system, device or device use or program in connection.The journey for including on computer-readable medium
Sequence code can transmit with any suitable medium, including but not limited to: wireless, wired, optical cable, radiofrequency signal etc., or
Above-mentioned any appropriate combination.
Although the disclosure has shown and described referring to the certain exemplary embodiments of the disclosure, without departing substantially from appended
In the case where the spirit and scope of the present disclosure that claim and its equivalent limit, the disclosure can be carried out in form and details
A variety of changes.Therefore, the scope of the present disclosure should not necessarily be limited by above-described embodiment, but should not only by appended claims Lai
It is determined, is also defined by the equivalent of appended claims.
Claims (10)
1. a kind of processing method of case notes characterized by comprising
The content in the case notes is extracted, plain text data is translated into；
Participle extraction is carried out to the plain text data using semantic rules and participle model, obtains required keyword；
Interdependent syntactic analysis and reference resolution, the notes data classified are carried out to the keyword；
According to the notes data of the classification, calculating is associated to the corresponding case of same type notes data, is obtained similar
Case string and result.
2. the processing method of case notes according to claim 1, which is characterized in that described to extract in the case notes
Content, be translated into plain text data, comprising:
Image preprocessing is carried out to the scanned copy of case notes；
Printed page analysis and identification are carried out to pretreated scanned copy, obtain the plain text data.
3. the processing method of case notes according to claim 1, which is characterized in that described to use semantic rules and participle
Model carries out participle extraction to the plain text data
Participle extraction is carried out to the plain text data using semantic rules first；
Then participle extraction is carried out to the plain text data using participle model.
4. the processing method of case notes according to claim 2, which is characterized in that described image pretreatment includes inclination
At least one of correct, increase contrast and brightness, remove watermark and remove interfering line.
5. the processing method of case notes according to claim 1, which is characterized in that according to the notes number of the classification
According to being associated calculating to the corresponding case of same type notes data, comprising:
Classified with victim and suspect, calculating is associated to the corresponding case of the notes data respectively.
6. the processing method of case notes according to claim 2, which is characterized in that use optical character recognition technology pair
The scanned copy of the case notes carries out image preprocessing, printed page analysis and identification.
7. the processing method of case according to claim 2 notes, which is characterized in that based on connection text neural network and
Convolution loop neural network carries out printed page analysis and identification to pretreated scanned copy.
8. a kind of processing unit of case notes, which is characterized in that described device includes:
Data conversion module is translated into plain text data for extracting the content in the case notes；
Word segmentation module, for carrying out participle extraction to the plain text data using semantic rules and participle model, needed for obtaining
Keyword；
Categorization module, for carrying out interdependent syntactic analysis and reference resolution, the notes data classified to the keyword；
It goes here and there and module is associated the corresponding case of same type notes data for the notes data according to the classification
It calculates, obtains similar case string and result.
9. a kind of electronic equipment characterized by comprising
Processor；
Memory is stored with computer executable program, and the program by the processor when being executed, so that the processor
Execute the processing method that the case as described in any one of claim 1-7 is put down.
10. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that the program is executed by processor
The processing method of case notes of the Shi Shixian as described in any one of claim 1-7.
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| CN201811646022.XA CN109800304A (en) | 2018-12-29 | 2018-12-29 | Processing method, device, equipment and the medium of case notes |
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| CN111382333A (en) * | 2020-03-11 | 2020-07-07 | 昆明理工大学 | Case element extraction method in news text sentence based on case correlation joint learning and graph convolution |
| CN111639479A (en) * | 2020-04-30 | 2020-09-08 | 广州华资软件技术有限公司 | Intelligent auxiliary case handling method based on deep learning |
| CN111753872A (en) * | 2020-05-12 | 2020-10-09 | 高新兴科技集团股份有限公司 | Method, device, equipment and storage medium for analyzing association of serial and parallel cases |
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| CN112199328A (en) * | 2020-09-07 | 2021-01-08 | 深圳市安络科技有限公司 | Method and device for managing case files |
| CN112559748A (en) * | 2020-12-18 | 2021-03-26 | 厦门市法度信息科技有限公司 | Method for classifying stroke record data records, terminal equipment and storage medium |
| CN112579786A (en) * | 2019-09-30 | 2021-03-30 | 北京国双科技有限公司 | Construction method and device of atlas based on record, storage medium and equipment |
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| CN117273013A (en) * | 2023-11-21 | 2023-12-22 | 中国人民公安大学 | Electronic data processing method for stroke records |
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| CN112559748A (en) * | 2020-12-18 | 2021-03-26 | 厦门市法度信息科技有限公司 | Method for classifying stroke record data records, terminal equipment and storage medium |
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