[go: up one dir, main page]

CN112131841A - Document quality evaluation method and system - Google Patents

Document quality evaluation method and system Download PDF

Info

Publication number
CN112131841A
CN112131841A CN202010880178.5A CN202010880178A CN112131841A CN 112131841 A CN112131841 A CN 112131841A CN 202010880178 A CN202010880178 A CN 202010880178A CN 112131841 A CN112131841 A CN 112131841A
Authority
CN
China
Prior art keywords
score
document
page
paragraph
font
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
CN202010880178.5A
Other languages
Chinese (zh)
Inventor
蒋林峰
王海博
高航
陈广坤
丁二星
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.)
Beijing Yundong Intelligent Network Technology Co ltd
Original Assignee
Beijing Yundong Intelligent Network 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 Beijing Yundong Intelligent Network Technology Co ltd filed Critical Beijing Yundong Intelligent Network Technology Co ltd
Priority to CN202010880178.5A priority Critical patent/CN112131841A/en
Publication of CN112131841A publication Critical patent/CN112131841A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F40/109—Font handling; Temporal or kinetic typography
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Machine Translation (AREA)

Abstract

The application discloses a document quality evaluation method for evaluating the design quality of a document to improve the working efficiency, which comprises the following steps: checking preset checking items aiming at each page of the target document; according to a preset grading standard, grading a preset inspection item; determining the final grade of the document according to the grade result of the preset inspection item; wherein the preset check items include: theme color, theme words, paragraph values, an automatic saving function and an intelligent reloading function. The application also provides a document quality evaluation system.

Description

Document quality evaluation method and system
Technical Field
The present application relates to the field of design, and in particular, to a method and system for evaluating document quality.
Background
At present, in the process of designing a document (such as PPT) by a user, the problems of document content loss, unattractive page layout or limited aesthetic value caused by computer crash are often encountered. In general, when the font and paragraph formats in a page are uniform and there is no obvious color difference in color matching, the document quality is higher. However, at present, the evaluation of the document design quality is usually carried out manually, a quantifiable evaluation method is not available, the judgment of the document quality is inaccurate, the quantifiable comparison of different effects is difficult, and the working efficiency is low.
Disclosure of Invention
In view of the above technical problems, embodiments of the present application provide a quality evaluation method and system, so as to quickly evaluate the quality of document design and improve the work efficiency.
In one aspect, a method for evaluating document quality provided by an embodiment of the present application includes:
checking preset checking items aiming at each page of the target document;
according to a preset grading standard, grading a preset inspection item;
determining the final grade of the document according to the grade result of the preset inspection item;
wherein the preset check items include: color, font, paragraph, auto save function and intelligent reloading function.
Preferably, the determining a final score of the document according to the score result of the preset check item includes:
the final score of the document is determined according to the following formula:
F＝100-FC-FZ-FD-FZD-FZN，
wherein, FCIs the color check score, FZIs the font check score, FDIs a paragraph inspection score, FZDIs to automatically save the function check score, FZNIs the intelligent reloading function check score.
Further, the color check score F is determined according to the following formulaC：
FC＝(XC*NC problem element÷NTotal number of C elements+YC*NC question page÷NC Total page)
Wherein, FCIs the color check score, NC problem elementIs the number of elements with problematic color, NTotal number of C elementsIs the total number of elements of the color, NC question pageIs the number of pages with problematic colors, NC Total pageIs the total page number of the document, XCIs the weight coefficient, Y, of the element with problem colorCIs the weight coefficient of the page with problematic color;
wherein the element with the problematic color is an element whose color is not the theme color.
Further, the font check score F is determined according to the following formulaZ：
FZ＝(XZ*NZ problem element÷NTotal number of Z elements+YZ*NZ question page÷NZ Total Page)
Wherein, FZIs the font check score, NZ problem elementIs the number of problematic elements of the font, NTotal number of Z elementsIs the total element number of the font, NZ question pageNumber of pages with problematic font, NZ Total PageIs the total page number of the document, XZIs the weight coefficient of the problematic element of the font, YZIs the weight coefficient of the page with problematic font;
wherein the element with the problem font is an element of which the font is not the preset font.
Further, the paragraph inspection score F is determined according to the following formulaD：
FD＝(XD*ND problem element÷NTotal number of D elements+YD*ND question page÷ND Total page)
Wherein, FDIs the paragraph inspection score, ND problem elementIs the number of elements of the paragraph with a problem, NTotal number of D elementsIs the total element number of the paragraph, ND question pageIs the number of pages with problem paragraph, ND Total pageIs the total page number of the document, XDIs a paragraph has a problemWeight coefficient of the element(s), YDIs the weight coefficient of the page with the problem paragraph;
wherein the element with the problem paragraph is an element of which the paragraph is not a preset paragraph.
Further, if the target document has enabled the autosave function, the autosave function checks the score FZDIs zero; if the target document does not enable the autosave function, the autosave function checks the score FZDIs 8.
Further, if the target document has enabled the intelligent reloading function, the intelligent reloading function checks the score FZNIs zero; if the target document does not start the intelligent reloading function, the intelligent reloading function checks the score FZNIs 8.
Preferably, X isCEqual to 15, said YCEqual to 13, said XZEqual to 15, said YZEqual to 13, said XDEqual to 15, said YDEqual to 13.
In another aspect, the present invention provides a document design system, comprising:
a processor and a memory;
the memory stores a computer program;
the processor is used for reading the computer program in the memory, and when the processor executes the computer program, the document quality evaluation method provided by the invention is realized.
By the method, the score of the current document is calculated by detecting five dimensions such as color, font, paragraph, automatic storage function, intelligent reloading function and the like through a user-defined algorithm, so that the efficiency of document design is improved.
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 description of the embodiments are briefly introduced 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 creative efforts.
FIG. 1 is a schematic diagram of a document quality evaluation process provided by an embodiment of the present application;
FIG. 2 is a flowchart illustrating an exemplary process of evaluating the quality of a document according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a document quality evaluation system according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Some of the words that appear in the text are explained below:
1. the term "and/or" in the embodiments of the present invention describes an association relationship of associated objects, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
2. In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.
It should be noted that documents described in this application include, but are not limited to, electronic files such as PPT, WORD file, PDF file, etc., and the present application is not limited to this.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the display sequence of the embodiment of the present application only represents the sequence of the embodiment, and does not represent the merits of the technical solutions provided by the embodiments.
Example one
Referring to fig. 1, a schematic diagram of a document quality evaluation method provided in an embodiment of the present application is shown, where the method includes:
s101, aiming at each page of a target document, checking a preset checking item;
as a preferred example, the document quality inspection method provided by this embodiment may be implemented by a plug-in program or a tool, and after the document is opened, the corresponding plug-in program or tool is run.
Preferably, the preset examination items include one or a combination of the following: color, font, paragraph, auto save function, or intelligent change.
As another preferred example, before the plug-in or tool is started, the corresponding scoring criteria and weighting factors may be set. Specifically, the theme color may be set as a color scoring standard, the theme word may be set as a font scoring standard, the paragraph value may be set as a paragraph scoring standard, whether the automatic saving function is turned on or not may be used as the scoring standard, and whether the intelligent reloading function is turned on or not may be used as the scoring standard.
Preferably, the weighting factor X of the color problem element can also be setCWeight coefficient Y of page with problematic colorCWeight coefficient X of problematic elements of a fontZWeight coefficient Y of page with problematic fontZWeight coefficient X of element with problem in paragraphDWeight coefficient Y of page with problem paragraphD。
The element with the problematic color is an element of which the color of the element is not the theme color, the element with the problematic font is an element of which the font is not the preset font, and the element with the problematic paragraph is an element of which the paragraph is not the preset paragraph.
It should be noted that, the intelligent retooling function described in this embodiment is to obtain the resource with the highest document matching degree and the highest heat degree by obtaining the color matching of the current resource and the server, and replace the color matching and the background color in the original document.
Preferably, before starting the evaluation, the method may further include a step of acquiring document check item information, that is, acquiring information of color, font, paragraph, and the like of each page of the target document, and acquiring information of the auto-save function and the intelligent reloading function of the target document. After the inspection item information is acquired, the information is sent to a quality assessment program or module.
When each inspection item is inspected, the method may include:
checking the color of each element aiming at each page of the copied document, judging whether the color is a theme color, and if not, determining that the element has a problem in color; accordingly, a page including an element having a color problem is a page having a color problem.
Checking the font of each element aiming at each page of the copied document, and judging whether the font is a preset font or not, wherein if the font is not the preset font, the element is an element with a problem in font; accordingly, a page including an element whose font is problematic is a page whose font is problematic.
Checking the paragraph of each element aiming at each page of the copied document, and judging whether the paragraph is a preset paragraph or not, if not, the element is an element with a problem in the paragraph; accordingly, a page including an element having a problem in paragraph is a page having a problem in paragraph.
A check of the autosave function, i.e. whether the autosave function is open, is made.
And checking the intelligent reloading function, namely checking whether the intelligent reloading function is opened.
S102, scoring a preset inspection item according to a preset scoring standard;
for a color check term, the color check score F is determined according to the following formulaC：
FC＝(XC*NC problem element÷NTotal number of C elements+YC*NC question page÷NC Total page)
Wherein, FCIs the color check score, NC problem elementIs the number of elements with problematic color, NTotal number of C elementsIs the total number of elements of the color, NC question pageIs the number of pages with problematic colors, NC Total pageIs the total page number of the document, XCIs the weight coefficient, Y, of the element with problem colorCIs the weight coefficient of the page with the problematic color.
In addition, X isCAnd YCIs set as required, and as a preferable example, XCCan take 15, YC13 can be taken.
For a font check term, the font check score F is determined according to the following formulaZ：
FZ＝(XZ*NZ problem element÷NTotal number of Z elements+YZ*NZ question page÷NZ Total Page)
Wherein, FZIs the font check score, NZ problem elementIs the number of problematic elements of the font, NTotal number of Z elementsIs the total element number of the font, NZ question pageNumber of pages with problematic font, NZ Total PageIs the total page number of the document, XZIs the weight coefficient of the problematic element of the font, YZIs the weight coefficient of the page with problematic font.
In addition, X isZAnd YZIs set as required, and as a preferable example, XZCan take 15, YZ13 can be taken.
For a paragraph check term, the paragraph check score F is determined according to the following formulaD：
FD＝(XD*ND problem element÷NTotal number of D elements+YD*ND question page÷ND Total page)
Wherein, FDIs the paragraph inspection score, ND problem elementIs the number of elements of the paragraph with a problem, NTotal number of D elementsIs the total element number of the paragraph, NProblem DPageIs the number of pages with problem paragraph, ND Total pageIs the total page number of the document, XDIs the weight coefficient of the element of the paragraph problem, YDIs the weight coefficient of the page with the problem paragraph.
In addition, X isDAnd YDIs set as required, and as a preferable example, XDCan take 15, YD13 can be taken.
If the target document has enabled the autosave function, the autosave function checks the score FZDIs zero;
if the target document does not enable the autosave function, the autosave function checks the score FZDIs 8.
If the target document has enabled the intelligent reloading function, the intelligent reloading function checks the score FZNIs zero;
if the target document does not start the intelligent reloading function, the intelligent reloading function checks the score FZNIs 8.
S103, determining the final grade of the document according to the grade result of the preset check item.
The final score of the document is determined according to the following formula:
F＝100-FC-FZ-FD-FZD-FZN，
wherein, FCIs the color check score, FZIs the font check score, FDIs a paragraph inspection score, FZDIs to automatically save the function check score, FZNIs the intelligent reloading function check score.
The size of the final score F, which indicates the quality of the document, is higher for higher scores.
By the method, the score of the current document is calculated by detecting five dimensions of color, font, paragraph, automatic storage function and intelligent reloading function and by a user-defined algorithm, and the score can assist a user to better judge the quality of the current document and improve the working efficiency.
The method of the present embodiment is further described below with reference to specific examples.
In this example, the document is a PPT (Microsoft PowerPoint) document, as shown in FIG. 2:
s201, starting an evaluation program and initializing a scoring standard;
and (4) operating the PPT plug-in program, starting the PPT plug-in program to start the C + + main program, and opening the PPT document to score.
S202, acquiring the content of the inspection item of the document;
when the scoring method is requested, parameters such as a PPT system subject word, a subject color, a paragraph value and the like are used as initialization values to serve as scoring standards. And generating an xml file and an image file from the PPT document theme color, acquiring the PPT system font, automatically storing a function switch and an intelligent reloading switch, and sending the data to a main program.
S203, checking the color of the document;
and performing PPT color check, acquiring all slides of PPT, circularly traversing the slides to screen out slide elements to be checked, and querying the screened slide elements through query elements (filling, lines, shadows and 3D) according to an RGB (red, green and blue) comparison method to query problem elements. The user-defined formula (color problematic element/slide color total element 15+ color problematic slide/color total slide 13) calculates the score value to count the score value occupied by the slide with color problem and sends the score value to the main program.
S204, checking the font of the document;
and checking the PPT document font, acquiring all slides of the current PPT document, circularly traversing the PPT slides, inquiring text box elements and table elements of the slides, and storing each table (Cell) of the text box elements and the table elements into an element dictionary as one element. And circularly traversing the element dictionary, circularly traversing the fonts of all the elements, adding the fonts into the element font dictionary, and judging whether the fonts in the elements are consistent with the preset fonts by the circular element font dictionary. Recording the elements with inconsistent fonts, classifying the recorded element fonts according to element types (for example, text box elements or table elements count all Cell elements with problems as table elements), recording problem elements and problem slides, calculating scores by using a self-defined formula (font problem elements/slide font total elements 15+ slides with problems/font total slides 13), counting the scores occupied by the slides with the problems and sending the scores to a main program.
S205, checking paragraphs of the document;
checking the PPT document paragraph, acquiring all slides of the current PPT document, circularly traversing the PPT slides, inquiring slide text box elements and table elements, and storing each table (Cell) of the table elements into an element dictionary as one element. And circularly traversing the element dictionary, circularly traversing the fonts of each element to obtain font paragraph information, adding the paragraph information into the element paragraph dictionary, circularly traversing the element paragraph dictionary to judge that the paragraph information in the elements is consistent with the preset paragraph information and record the inconsistent paragraphs, performing element type classification on the recorded element paragraphs (for example, text box elements or table elements count all Cell elements as table elements) to record the elements of the problem and record slides, calculating the score by adopting a self-defined formula (paragraph problem elements/slide paragraph total elements 15+ slide/paragraph total slides of the paragraph priority problem), counting the score occupied by the slides of the problem paragraphs, and sending the score to the main program.
S206, checking the automatic saving function of the document;
judging whether to start automatic saving for the PPT document, reading a serialized json (JavaScript Object notification) configuration file, reading a configuration state and checking whether to start automatic saving. If not, the autosave check score is 8 points, and if it is 0 points.
S207, checking the intelligent reloading function of the document;
whether the PPT document uses intelligent reloading is checked, whether a user logs in is judged firstly, if the user logs in, a server is requested to inquire whether the current user uses the intelligent reloading, if the intelligent reloading function is not used, the checking score of the intelligent reloading function is set to be 8 points, and if the intelligent reloading function is used, the checking score of the intelligent reloading function is set to be 0 point.
S208, calculating the final scoring of the document.
The final fraction is: the full score 100 is subtracted by the color check score, then the font check score, then the paragraph check score, then the auto-save function check score, and then the intelligent reloading function check score.
Example two
Based on the same inventive concept, an embodiment of the present invention further provides a document quality evaluation system, as shown in fig. 3, the system includes:
a processor 301 and a memory 302;
the memory 302 is used for storing computer programs, and the processor 301 is used for reading and executing the computer programs in the memory 302.
The document processing terminal may further include a bus interface 304 and a user interface 303, the processor 301 being responsible for managing the bus architecture and general processing, and the memory 302 may store data used by the processor 301 in performing operations. The user interface 303 is used to enable interaction with a user under the control of the processor 301.
The bus architecture may include any number of interconnected buses and bridges, with one or more processors 301, represented in particular by processors, and various circuits of memory 302, represented in particular by memory 302, linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface.
The processes disclosed in the embodiments of the present application may be applied to the processor 301, or implemented by the processor 301. In implementation, the steps of the signal processing flow may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 301. The processor 301 may be a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, configured to implement or perform the methods, steps, and logic blocks disclosed in the first embodiment of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor 301. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 302, and the processor 301 reads the information in the memory 302 and completes the steps of the signal processing flow in combination with the hardware thereof.
The processor 301 is configured to read a program in the memory 302 and execute the following processes:
checking preset checking items aiming at each page of the target document;
according to a preset grading standard, grading a preset inspection item;
determining the final grade of the document according to the grade result of the preset inspection item;
wherein the preset inspection items comprise one or a combination of the following items: theme color, theme words, paragraph values, an automatic save function or an intelligent reloading function.
Determining the final score of the document according to the score result of the preset inspection item, wherein the determining the final score of the document comprises the following steps:
the final score of the document is determined according to the following formula:
F＝100-FC-FZ-FD-FZD-FZN，
wherein, FCIs the color check score, FZIs the font check score, FDIs a paragraph inspection score, FZDIs to automatically save the function check score, FZNIs the intelligent reloading function check score.
It should be noted that the system provided in the second embodiment and the method provided in the first embodiment belong to the same inventive concept, the same technical problem is solved, the same technical effect is achieved, the system provided in the second embodiment can implement all the methods of the first embodiment, and the same parts are not described again.
It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (10)

1. A document quality assessment method, comprising:
checking preset checking items aiming at each page of the target document;
according to a preset grading standard, grading a preset inspection item;
determining the final grade of the document according to the grade result of the preset inspection item;
wherein the preset check items include: color, font, paragraph, auto save function and intelligent reloading function.
2. The method of claim 1, wherein determining a final score of the document according to the score result of the preset check items comprises:
the final score of the document is determined according to the following formula:
F＝100-FC-FZ-FD-FZD-FZN，
wherein, FCIs the color check score, FZIs the font check score, FDIs a paragraph inspection score, FZDIs to automatically save the function check score, FZNIs the intelligent reloading function check score.
3. The method of claim 2, comprising:
determining the color check score F according to the following formulaC：
FC＝(XC*NC problem element÷NTotal number of C elements+YC*NC question page÷NC Total page)
Wherein, FCIs the color check score, NC problem elementIs the number of elements with problematic color, NTotal number of C elementsIs the total number of elements of the color, NC question pageIs the number of pages with problematic colors, NC Total pageIs the total page number of the document, XCIs the weight coefficient, Y, of the element with problem colorCIs the weight coefficient of the page with problematic color;
wherein the element with the problematic color is an element whose color is not the theme color.
4. The method of claim 2, comprising:
determining the font check score F according to the following formulaZ：
FZ＝(XZ*NZ problem element÷NTotal number of Z elements+YZ*NZ question page÷NZ Total Page)
Wherein, FZIs the font check score, NZ problem elementIs the number of problematic elements of the font, NTotal number of Z elementsIs the total element number of the font, NZ question pageNumber of pages with problematic font, NZ Total PageIs the total page number of the document, XZIs the weight coefficient of the problematic element of the font, YZIs the weight coefficient of the page with problematic font;
wherein the element with the problem font is an element of which the font is not the preset font.
5. The method of claim 2, comprising:
determining the paragraph inspection score F according to the following formulaD：
FD＝(XD*ND problem element÷NTotal number of D elements+YD*ND question page÷ND Total page)
Wherein, FDIs the paragraph inspection score, ND problem elementIs the number of elements of the paragraph with a problem, NTotal number of D elementsIs the total element number of the paragraph, ND question pageIs the number of pages with problem paragraph, ND Total pageIs the total page number of the document, XDIs the weight coefficient of the element of the paragraph problem, YDIs the weight coefficient of the page with the problem paragraph;
wherein the element with the problem paragraph is an element of which the paragraph is not a preset paragraph.
6. The method of claim 2, comprising:
if the target document has enabled the autosave function, the autosave function checks the score FZDIs zero;
if the target document does not enable the autosave function, the autosave function checks the score FZDIs 8.
If the target document has enabled the intelligent reloading function, the intelligent reloading function checks the score FZNIs zero;
if the target document does not start the intelligent reloading function, the intelligent reloading function checks the score FZNIs 8.
7. The method of claim 3, comprising:
said XCEqual to 15, said YCEqual to 13.
8. The method of claim 4, comprising:
said XZEqual to 15, said YZEqual to 13.
9. The method of claim 5, comprising:
said XDEqual to 15, said YDEqual to 13.
10. A document quality assessment system, comprising:
a processor and a memory;
the memory stores a computer program;
the processor is configured to read the computer program in the memory, and when the processor executes the computer program, the processor implements the document quality evaluation method according to one of claims 1 to 9.
CN202010880178.5A 2020-08-27 2020-08-27 Document quality evaluation method and system Pending CN112131841A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010880178.5A CN112131841A (en) 2020-08-27 2020-08-27 Document quality evaluation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010880178.5A CN112131841A (en) 2020-08-27 2020-08-27 Document quality evaluation method and system

Publications (1)

Publication Number Publication Date
CN112131841A true CN112131841A (en) 2020-12-25

Family

ID=73847534

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010880178.5A Pending CN112131841A (en) 2020-08-27 2020-08-27 Document quality evaluation method and system

Country Status (1)

Country Link
CN (1) CN112131841A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113515628A (en) * 2021-05-19 2021-10-19 北京世纪好未来教育科技有限公司 Document detection method, device, equipment and storage medium
CN114564415A (en) * 2022-04-29 2022-05-31 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） Software autonomy evaluation method, device, equipment, medium and program product
CN115146613A (en) * 2022-06-29 2022-10-04 北京百度网讯科技有限公司 Document quality assessment method, apparatus, electronic equipment and medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050028097A1 (en) * 2003-07-30 2005-02-03 Xerox Corporation System and method for measuring and quantizing document quality
US20080285092A1 (en) * 2007-05-17 2008-11-20 The Generations Network, Inc. Image Quality Monitoring And Tagging At Scan Time
CN104134057A (en) * 2009-01-28 2014-11-05 谷歌公司 Selective display of OCR'ed text and corresponding images from publications on a client device
CN107209935A (en) * 2014-12-30 2017-09-26 柯达阿拉里斯股份有限公司 System and method for measuring mobile document image quality
CN108345881A (en) * 2018-02-01 2018-07-31 福州大学 A kind of document quality detection method based on computer vision
CN111583259A (en) * 2020-06-04 2020-08-25 南昌航空大学 A document image quality evaluation method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050028097A1 (en) * 2003-07-30 2005-02-03 Xerox Corporation System and method for measuring and quantizing document quality
US20080285092A1 (en) * 2007-05-17 2008-11-20 The Generations Network, Inc. Image Quality Monitoring And Tagging At Scan Time
CN104134057A (en) * 2009-01-28 2014-11-05 谷歌公司 Selective display of OCR'ed text and corresponding images from publications on a client device
CN107209935A (en) * 2014-12-30 2017-09-26 柯达阿拉里斯股份有限公司 System and method for measuring mobile document image quality
CN108345881A (en) * 2018-02-01 2018-07-31 福州大学 A kind of document quality detection method based on computer vision
CN111583259A (en) * 2020-06-04 2020-08-25 南昌航空大学 A document image quality evaluation method

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113515628A (en) * 2021-05-19 2021-10-19 北京世纪好未来教育科技有限公司 Document detection method, device, equipment and storage medium
CN113515628B (en) * 2021-05-19 2024-05-10 北京世纪好未来教育科技有限公司 Document detection method, device, equipment and storage medium
CN114564415A (en) * 2022-04-29 2022-05-31 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） Software autonomy evaluation method, device, equipment, medium and program product
CN115146613A (en) * 2022-06-29 2022-10-04 北京百度网讯科技有限公司 Document quality assessment method, apparatus, electronic equipment and medium

Similar Documents

Publication Publication Date Title
CN108073519B (en) Test case generation method and device
CN107844417B (en) Test case generation method and device
CN112131841A (en) Document quality evaluation method and system
CN110362481A (en) Automatic test approach and terminal device
US8547819B2 (en) Computing device and crosstalk information detection method
JP6619891B2 (en) Screen test apparatus and screen test program
CN116228153A (en) Engineering project design change price management method, system, equipment and medium
US20200342169A1 (en) Information processing apparatus and non-transitory computer readable medium storing program
CN114283437A (en) Legend identification method, device, equipment and storage medium
US20080244501A1 (en) Method for reading information from a hierarchical design
CN112131842B (en) Document design method and system
CN115269502A (en) Bid document processing method, device and storage medium
CN113806526B (en) Feature extraction method, device and storage medium
CN112733651B (en) Medical data identification method, device, storage medium and equipment
CN115757296A (en) Service data checking method and device, electronic equipment and storage medium
CN112560952A (en) Supplier assessment method and device, electronic equipment and storage medium
US8255864B2 (en) Computing device and method for checking signal transmission lines
CN119535030B (en) Relay protection automatic verification method and system based on universal test template
CN120162848A (en) A method and system for calculating engineering quantity based on drawing recognition
CN119027959A (en) Method, device, equipment and storage medium for extracting geometric dimension data of electronic components
CN113821482A (en) Information processing method and device, electronic equipment and readable storage medium
CN119862824A (en) Integrated circuit inspection method, integrated circuit inspection device, electronic equipment and storage medium
TWM665364U (en) Artificial intelligence verification system
CN119203987A (en) PRD document testing method, device, computer equipment and medium
CN119807074A (en) Statistical method, device and system for automated pipeline verification of application software

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: 20201225