CN115203614B - Page automatic generation analysis processing method based on webpage development - Google Patents

Page automatic generation analysis processing method based on webpage development Download PDF

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CN115203614B
CN115203614B CN202210897116.4A CN202210897116A CN115203614B CN 115203614 B CN115203614 B CN 115203614B CN 202210897116 A CN202210897116 A CN 202210897116A CN 115203614 B CN115203614 B CN 115203614B
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陈帆
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Hunan Tryine Technology Co ltd
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Abstract

The invention discloses an automatic page generation analysis processing method based on webpage development, which is characterized in that on one hand, the invention extracts the subject words from the names corresponding to the target documents, and determines the types of the target documents according to the subject words corresponding to the target documents, and then locates a plurality of prepared webpage templates according to the types of the target documents, thereby not only effectively solving the problem that the current technology requires users to select the webpage templates by virtue of self aesthetic sense and literacy, but also saving a great deal of time and energy of the users to a great extent, accelerating the rate of generating the webpage, and on the other hand, compensating the subjective difference of the users to select the webpage templates by themselves, and further guaranteeing the generating effect of the webpage; on the other hand, the method and the device ensure the accuracy of the content filling position and the normalization of the webpage arrangement to the maximum extent by analyzing the comprehensive matching coefficients of the target document corresponding to each prepared webpage template.

Description

Page automatic generation analysis processing method based on webpage development
Technical Field
The invention relates to the technical field of automatic page generation, in particular to an automatic page generation analysis processing method based on webpage development.
Background
With the development of computer network technology, web page designs are gradually appeared in the public view, and the design manner and development of web page designs are also continuously changed along with the change of time. The static webpage design is favored because of the characteristics of good safety, resource saving, easy understanding, easy access and the like, so that the automatic generation of the static webpage by the tedious and lengthy document has profound significance.
The current static webpage development is that a user selects a webpage template by himself and then fills the document content according to the need, and obviously, the current technology has the following defects:
1. the user has high requirements on aesthetic sense and literacy of the user by self-selecting the webpage template, and also consumes a great deal of time and energy of the user to a great extent, delays the generation rate of the webpage, and has certain subjective difference in self-selecting the webpage template from another angle, so that the generation effect of the webpage cannot be ensured.
2. The user can not guarantee the accuracy of the content filling position through the mode of filling the webpage pages according to the needs, so that the normalization of the webpage arrangement is reduced, and the method is specifically characterized in the following aspects:
A. the page layout directly affects the appreciation of the web page. In the prior art, no targeted analysis is performed on the webpage layout of the document, so that the coordination of the webpage layout is reduced, the reading comfort of a user is greatly influenced, and the access quantity and the exposure quantity of the generated page are further reduced.
B. The purpose of mixed arrangement of pictures and texts is to be convenient for watch, make the content more vivid abundant, be convenient for understand, often carry out the sieve diagram through the manual work in the current technique, select the diagram, not only expend a large amount of manpower and materials, still have certain subjectivity simultaneously, and then can't accurately carry out the analysis to the quantity and the size of inserting the picture according to the document information, reduced the aesthetic property of page picture, thereby can't satisfy the picture demand of inserting of various documents.
C. Hue is an important feature of color, which determines the fundamental feature of the color essence. In the prior art, the tone distribution of the static webpage is produced by substituting the preference of a user, so that certain subjectivity exists, the matching degree of the tone of the produced webpage and the document content cannot be ensured, and the rationality and scientificity of producing the tone distribution of the webpage are reduced.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides an automatic page generation analysis processing method based on webpage development, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme:
a webpage automatic generation analysis processing method based on webpage development comprises the following steps:
step one, obtaining basic information of a target document: acquiring basic information of a target document, wherein the basic information comprises names, contents, word numbers, paragraph numbers and title numbers of each level;
step two, analyzing a target document webpage template: analyzing the document type corresponding to the target document based on the basic information corresponding to the target document, and further obtaining information of each prepared webpage template corresponding to the target document;
thirdly, analyzing the layout of the target document web page: performing webpage layout matching analysis on each prepared webpage template corresponding to the target document based on the basic information corresponding to the target document, thereby obtaining webpage layout matching coefficients of each prepared webpage template corresponding to the target document;
fourth, target document webpage illustration analysis: analyzing the illustration content, the illustration size and the illustration quantity of each document subarea corresponding to the target document based on the basic information corresponding to the target document, and carrying out web page illustration matching analysis on each prepared web page template corresponding to the target document, thereby obtaining the web page illustration matching coefficient of each prepared web page template corresponding to the target document;
fifthly, analyzing the center color of the target document webpage: analyzing the regional center color of each document subregion corresponding to the target document based on the document type and basic information corresponding to the target document, thereby obtaining the webpage tone matching coefficient of each prepared webpage template corresponding to the target document;
step six, comprehensively analyzing a target document preparation webpage template: comprehensively analyzing the webpage layout matching coefficients, the webpage illustration matching coefficients and the webpage tone matching coefficients of the prepared webpage templates corresponding to the target document to obtain comprehensive matching coefficients of the prepared webpage templates corresponding to the target document;
step seven, target document generation page analysis: and screening the prepared webpage template corresponding to the maximum comprehensive matching coefficient from the comprehensive matching coefficients of the prepared webpage templates corresponding to the target document, and marking the prepared webpage template as a generated webpage template, so that the target document is generated according to the generated webpage template based on the illustration content of the subareas of the documents corresponding to the target document.
Based on the above embodiment, in the second step, the document type corresponding to the target document is analyzed based on the basic information corresponding to the target document, and the specific analysis mode is as follows:
extracting the subject words from the names corresponding to the target documents to obtain the subject words corresponding to the target documents, and matching the subject words corresponding to the target documents with the document types corresponding to the set various subject words to obtain the document types corresponding to the target documents.
Based on the above embodiment, the specific obtaining mode of the information of the target document corresponding to each prepared web page template in the second step is:
matching the document type corresponding to the target document with various webpage templates corresponding to the set various document types to obtain various matched webpage templates corresponding to the target document, marking the matched webpage templates as prepared webpage templates, numbering the prepared webpage templates as 1,2 according to a preset sequence, i, n, and simultaneously obtaining information of the prepared webpage templates corresponding to the target document.
Based on the above embodiment, the specific analysis process of the web page layout matching coefficient of each prepared web page template corresponding to the target document is as follows:
extracting the total reference word number, the number of reference paragraphs, the number of reference titles of each level, the number of reference words of each paragraph and the number of reference words of each title in each level of titles of each prepared web page template corresponding to each prepared web page template from the information of each prepared web page template corresponding to the target document, and respectively recording as
Figure GDA0004007774070000041
i is denoted as the number of each prepared web page template, i=1, 2, & gt, n, r is denoted as the number of each title, r=1, 2, & gt, t, d is denoted as the number corresponding to each paragraph, d=1, 2, & gt, l, f is denoted as the number corresponding to each title, f=1, 2, & gt, g;
extracting the number of words corresponding to each paragraph and the number of words corresponding to each title in each level of titles from the number of words corresponding to the target document, and respectively recording as
Figure GDA0004007774070000042
And->
Figure GDA0004007774070000043
According to the formula
Figure GDA0004007774070000044
Calculating a webpage layout matching coefficient, eta, of each prepared webpage template corresponding to the target document i Webpage layout matching coefficient expressed as i-th prepared webpage template corresponding to target document, +.>
Figure GDA0004007774070000045
Respectively representing a document word number matching index, a paragraph matching index and a title matching index of the ith prepared webpage template corresponding to the target document, and respectively representing a set weight factor corresponding to the document word number matching index, the paragraph matching index and the title matching index by a1, a2 and a 3;
in the above formula
Figure GDA0004007774070000051
e is expressed as a natural constant, N is expressed as the number of words corresponding to the target document, and delta N is expressed as the set allowable total number of words of the document;
Figure GDA0004007774070000052
d is expressed as the number of paragraphs corresponding to the target document, deltaD is expressed as the set allowable number difference of paragraphs, deltaW Segment(s) The number difference is expressed as a preset allowed paragraph number difference, and b1 and b2 are respectively expressed as a preset paragraph number and an influence factor corresponding to the paragraph number;
Figure GDA0004007774070000053
B r expressed as the number of corresponding r-th level titles of the target document, ΔB r The allowable number difference expressed as the set r-th level header,/->
Figure GDA0004007774070000054
The number difference of the allowed header words corresponding to the preset r-th level header is represented, and b3 and b4 are respectively represented as the preset number of the headers and the influence factors corresponding to the number of the header words.
On the basis of the above embodiment, in the fourth step, the content, the size and the number of the illustrations of the sub-regions of each document corresponding to the target document are analyzed based on the basic information corresponding to the target document, and the specific analysis process is as follows:
dividing a target document into document areas according to the maximum level title to obtain each document subarea, and numbering each document subarea into 1,2 according to a preset sequence;
carrying out semantic recognition on each level of titles in each document subregion corresponding to the target document, simultaneously comparing the semantics corresponding to each level of titles, screening out the number of titles with the same semantics from the semantics, and recording the number as the number of consistent semantics;
extracting keywords of the target document corresponding to the document subareas to obtain keywords of the target document corresponding to the document subareas, constructing a keyword set of the target document corresponding to the document subareas, and recording as E j J is denoted as the number of each document sub-region, j=1, 2,..;
dividing the name of the target document into name words according to a set dividing mode, taking the name words as the keywords corresponding to the target document, further constructing a target document keyword set, marking as A, comparing the target document keyword set with the keyword set of the sub-regions of the target document corresponding to the document sub-regions to obtain the keyword matching degree of the target document corresponding to the document sub-regions, wherein the specific calculation formula is as follows
Figure GDA0004007774070000061
θ j The keyword matching degree of the j-th document subarea corresponding to the target document is expressed;
extracting the number of each level of titles corresponding to each document subarea from the number of each level of titles corresponding to the target document;
comprehensively analyzing the semantic consistency quantity, the keyword matching degree and the header quantity of each level in the corresponding document subareas of the target document to obtain the illustration quantity evaluation index of the corresponding document subareas of the target document, and marking the illustration quantity evaluation index as CT j ；
Matching the illustration quantity evaluation indexes of the target document corresponding to the document subareas with the illustration quantity corresponding to the set various illustration evaluation indexes to obtain the illustration quantity of the target document corresponding to the document subareas;
extracting the word number of each document subarea corresponding to the target document from the word number corresponding to the target document, analyzing to obtain the illustration size evaluation index of each document subarea corresponding to the target document, and recording as DC j Matching the illustration size evaluation indexes of the target document corresponding to the document subareas with the illustration sizes corresponding to the set various illustration size evaluation indexes to obtain the illustration sizes of the target document corresponding to the document subareas;
extracting the subject words corresponding to the document subareas from the maximum level titles of the document subareas corresponding to the target document to obtain the subject words corresponding to the document subareas of the target document, further matching the subject words corresponding to the document subareas of the target document with various pictures corresponding to the set various subject words to obtain various pictures corresponding to the document subareas of the target document, and removing repeated pictures from the pictures to obtain the preparation pictures corresponding to the document subareas of the target document;
and randomly screening matched pictures from the prepared pictures of the corresponding document subareas of the target document based on the number and the size of the pictures of the corresponding document subareas of the target document, and recording the matched pictures as picture pictures to serve as picture contents of the corresponding document subareas of the target document.
Based on the above embodiment, the specific calculation process of the matching coefficient of the web page insert corresponding to each prepared web page template by the target document in the fourth step is as follows:
extracting the number and the size of the illustrations corresponding to the document subareas of each prepared webpage template from the information corresponding to each prepared webpage template of the target document, and respectively marking as S' ij 、C′ ij ；
According to the formula
Figure GDA0004007774070000071
Calculating the matching coefficient delta of the webpage picture corresponding to each prepared webpage template of the target document i The web page artwork matching coefficients expressed as the i-th preliminary web page template corresponding to the target document,
Figure GDA0004007774070000072
the method is characterized in that the method is respectively represented as the number of the illustrations and the size of the illustrations corresponding to the jth document subarea in the ith prepared webpage template corresponding to the target document, delta S and delta C are respectively represented as the allowable difference of the set number of the illustrations and the allowable difference of the size of the illustrations, and v1 and v2 are respectively represented as the weight factors corresponding to the set number of the illustrations and the size of the illustrations.
On the basis of the above embodiment, in the fifth step, the area center color of each document subarea corresponding to the target document is analyzed based on the document type and the basic information corresponding to the target document, and the specific analysis is as follows:
matching the subject words of the target document corresponding to the document subareas with the set area types corresponding to the various subject words to obtain the area types of the target document corresponding to the document subareas, matching the area types with the set area center colors corresponding to the various area types to obtain the area center colors of the target document corresponding to the document subareas, counting the number of the area center colors, simultaneously matching the area center colors with the set chromaticity values corresponding to the various center colors to obtain the chromaticity values of the area center colors in the target document corresponding to the document subareas, and marking the chromaticity values as Y j h, h is the number of the center color of each region, h=1, 2.
Based on the above embodiment, the specific calculation of the web page tone matching coefficient of each prepared web page template corresponding to the target document in the fifth step is:
extracting the chromaticity value of the center color of each region in each document subarea corresponding to each prepared webpage template from the information of each prepared webpage template corresponding to the target document, and marking as Y '' ij h；
According to the formula
Figure GDA0004007774070000081
Calculating the webpage tone matching coefficient lambda of each prepared webpage template corresponding to the target document i The overall chromaticity matching coefficient of the webpage, which is expressed as the i-th prepared webpage template corresponding to the target document, is respectively expressed as the set region centerColor allows for differences in chromaticity values.
Based on the above embodiment, a specific calculation formula of the comprehensive matching coefficient of the target document corresponding to each prepared web page template in the sixth step is ζ i ＝η i *τ1+δ i *τ2+λ i *τ3，ξ i And (3) representing the comprehensive matching coefficients corresponding to the ith prepared webpage template of the target document, wherein τ1, τ2 and τ3 are respectively represented as set webpage layout matching coefficients, webpage illustration matching coefficients and correction factors corresponding to webpage tone matching coefficients.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the invention, the subject words are extracted from the names corresponding to the target documents, the types of the target documents are determined according to the subject words corresponding to the target documents, and a plurality of preparation webpage templates are positioned according to the types of the target documents, so that the problem that the webpage templates are required to be selected by users through aesthetic and literacy in the prior art is solved, a great amount of time and energy of the users are saved to a great extent, the page generation rate is accelerated, and the subjective difference of the user for selecting the webpage templates by self is made up from another aspect, and the page generation effect is further ensured.
According to the invention, the matching index of the word number of the document, the matching index of the paragraph and the matching index of the title are obtained, and the webpage layout matching index of the target document corresponding to the prepared webpage template is obtained through comprehensive analysis, so that the defect that the prior art does not analyze the webpage layout of the document is overcome, the coordination of the webpage layout is effectively improved, the reading comfort of a user is further improved to a great extent, and the access quantity and the exposure quantity of the generated page are further increased.
According to the invention, the target document is divided into the document subareas, and the semantic consistency quantity, the keyword matching degree and the quantity of all levels of titles corresponding to the document subareas are comprehensively analyzed, so that the illustration quantity corresponding to the document subareas in the target document is obtained, and the illustration size corresponding to the document subareas in the target document is obtained according to the word quantity corresponding to the document subareas in the target document, thereby not only avoiding the problem of page confusion caused by mismatching of the illustration quantity and the illustration size, but also saving a great part of manpower resource and physical resource consumption, improving the aesthetic property of page illustration to a great extent, and meeting the illustration requirements of various documents.
According to the invention, the chromaticity value of the center color of each region in each document sub-region corresponding to the target document is obtained, so that the defect that the user's own preference is substituted in the current static webpage production is effectively avoided, the matching degree of the produced webpage hue and document content is favorably ensured, the rationality and scientificity of the produced webpage hue distribution are improved, and the accuracy of the content filling position and the normalization of the webpage arrangement are ensured to the greatest extent.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic flow chart of the method of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an automatic page generation analysis processing method based on web page development, which comprises the following steps:
step one, obtaining basic information of a target document: basic information of a target document is acquired, wherein the basic information comprises names, contents, word numbers, paragraph numbers and title numbers of each level.
Step two, analyzing a target document webpage template: and analyzing the document type corresponding to the target document based on the basic information corresponding to the target document, so as to obtain the information of each prepared webpage template corresponding to the target document.
As a preferable scheme, in the second step, the document type corresponding to the target document is analyzed based on the basic information corresponding to the target document, and the specific analysis mode is as follows:
extracting the subject words from the names corresponding to the target documents to obtain the subject words corresponding to the target documents, and matching the subject words corresponding to the target documents with the document types corresponding to the set various subject words to obtain the document types corresponding to the target documents.
As a preferred solution, the information of the target document corresponding to each prepared web page template in the second step is specifically obtained in the following manner:
matching the document type corresponding to the target document with various webpage templates corresponding to the set various document types to obtain various matched webpage templates corresponding to the target document, marking the matched webpage templates as prepared webpage templates, numbering the prepared webpage templates as 1,2 according to a preset sequence, i, n, and simultaneously obtaining information of the prepared webpage templates corresponding to the target document.
In the embodiment, the method and the device for generating the webpage effectively solve the problem that the prior art needs users to select the webpage templates by means of aesthetic and literacy, save a great deal of time and energy of the users to a great extent, accelerate the generation rate of the webpage, and make up for subjective differences of the users to select the webpage templates by themselves from another aspect by extracting the subject words from the names corresponding to the target documents and determining the types of the target documents according to the subject words corresponding to the target documents and locating a plurality of preparation webpage templates according to the types of the target documents.
Thirdly, analyzing the layout of the target document web page: and carrying out webpage layout matching analysis on each prepared webpage template corresponding to the target document based on the basic information corresponding to the target document, thereby obtaining the webpage layout matching coefficient of each prepared webpage template corresponding to the target document.
As a preferable scheme, the specific analysis process of the webpage layout matching coefficient of each prepared webpage template corresponding to the target document is as follows:
extracting the total reference word number, the number of reference paragraphs, the number of reference titles of each level, the number of reference words of each paragraph and the number of reference words of each title in each level of titles of each prepared web page template corresponding to each prepared web page template from the information of each prepared web page template corresponding to the target document, and respectively recording as
Figure GDA0004007774070000121
i is denoted as the number of each prepared web page template, i=1, 2, & gt, n, r is denoted as the number of each title, r=1, 2, & gt, t, d is denoted as the number corresponding to each paragraph, d=1, 2, & gt, l, f is denoted as the number corresponding to each title, f=1, 2, & gt, g;
extracting the number of words corresponding to each paragraph and the number of words corresponding to each title in each level of titles from the number of words corresponding to the target document, and respectively recording as
Figure GDA0004007774070000122
And->
Figure GDA0004007774070000123
/>
According to the formula
Figure GDA0004007774070000124
Calculating a webpage layout matching coefficient, eta, of each prepared webpage template corresponding to the target document i The web page layout matching coefficients expressed as the i-th preliminary web page template corresponding to the target document,
Figure GDA0004007774070000125
respectively representing a document word number matching index, a paragraph matching index and a title matching index of the ith prepared webpage template corresponding to the target document, and respectively representing a set weight factor corresponding to the document word number matching index, the paragraph matching index and the title matching index by a1, a2 and a 3;
in the above formula
Figure GDA0004007774070000131
e is expressed as a natural constant, N is expressed as the number of words corresponding to the target document, and delta N is expressed as the set allowable total number of words of the document;
Figure GDA0004007774070000132
d is expressed as the number of paragraphs corresponding to the target document, deltaD is expressed as the set allowable number difference of paragraphs, deltaW Segment(s) The number difference is expressed as a preset allowed paragraph number difference, and b1 and b2 are respectively expressed as a preset paragraph number and an influence factor corresponding to the paragraph number;
Figure GDA0004007774070000133
B r expressed as the number of corresponding r-th level titles of the target document, ΔB r The allowable number difference expressed as the set r-th level header,/->
Figure GDA0004007774070000134
The number difference of the allowed header words corresponding to the preset r-th level header is represented, and b3 and b4 are respectively represented as the preset number of the headers and the influence factors corresponding to the number of the header words.
In the embodiment, the invention obtains the document word number matching index, the paragraph matching index and the title matching index, and comprehensively analyzes to obtain the webpage layout matching index of the target document corresponding to the prepared webpage template, so that the defect that the prior art does not analyze the webpage layout of the document is overcome, the coordination of the webpage layout is effectively improved, the reading comfort of a user is further improved to a great extent, and the access quantity and the exposure quantity of the generated page are further increased.
Fourth, target document webpage illustration analysis: and analyzing the illustration content, the illustration size and the illustration quantity of each document subarea corresponding to the target document based on the basic information corresponding to the target document, and carrying out web page illustration matching analysis on each prepared web page template corresponding to the target document, thereby obtaining the web page illustration matching coefficient of each prepared web page template corresponding to the target document.
In the fourth step, the content, the size and the number of the illustrations of the sub-regions of each document corresponding to the target document are analyzed based on the basic information corresponding to the target document, and the specific analysis process is as follows:
dividing a target document into document areas according to the maximum level title to obtain each document subarea, and numbering each document subarea into 1,2 according to a preset sequence;
carrying out semantic recognition on each level of titles in each document subregion corresponding to the target document, simultaneously comparing the semantics corresponding to each level of titles, screening out the number of titles with the same semantics, and recording the number as the number of consistent semantics.
Extracting keywords of the target document corresponding to the document subareas to obtain keywords of the target document corresponding to the document subareas, constructing a keyword set of the target document corresponding to the document subareas, and recording as E j J is denoted as the number of each document sub-region, j=1, 2,..;
dividing the name of the target document into name words according to a set dividing mode, taking the name words as the keywords corresponding to the target document, further constructing a target document keyword set, marking as A, comparing the target document keyword set with the keyword set of the sub-regions of the target document corresponding to the document sub-regions to obtain the keyword matching degree of the target document corresponding to the document sub-regions, wherein the specific calculation formula is as follows
Figure GDA0004007774070000141
θ j And representing the keyword matching degree of the target document corresponding to the j-th document sub-region.
Extracting the number of each level of titles corresponding to each document subarea from the number of each level of titles corresponding to the target document;
comprehensively analyzing the semantic consistency quantity, the keyword matching degree and the header quantity of each level in the corresponding document subareas of the target document to obtain the illustration quantity evaluation index of the corresponding document subareas of the target document, and marking the illustration quantity evaluation index as CT j ；
It should be noted that, the specific calculation formula of the illustration number evaluation index of each document subarea corresponding to the target document is as follows
Figure GDA0004007774070000151
X j Expressed as a semantically consistent number in the j-th document subregion corresponding to the target document,/for>
Figure GDA0004007774070000152
The number of the r-level titles in the sub-region of the jth document corresponding to the target document is represented, X ', theta ', B ' are respectively represented as the set number of the consistent reference semantics, the matching degree of the reference keywords and the total number of the reference titles, and u1, u2 and u3 are respectively represented as the set number of the consistent semantics, the matching degree of the keywords and the influence factors corresponding to the total number of the titles.
Matching the illustration quantity evaluation indexes of the target document corresponding to the document subareas with the illustration quantity corresponding to the set various illustration evaluation indexes to obtain the illustration quantity of the target document corresponding to the document subareas;
extracting the word number of each document subarea corresponding to the target document from the word number corresponding to the target document, analyzing to obtain the illustration size evaluation index of each document subarea corresponding to the target document, and recording as DC j Matching the illustration size evaluation indexes of the target document corresponding to the document subareas with the illustration sizes corresponding to the set various illustration size evaluation indexes to obtain the illustration sizes of the target document corresponding to the document subareas;
it should be noted that, the specific calculation formula of the illustration size evaluation index of the target document corresponding to each document sub-region is as follows
Figure GDA0004007774070000153
Z j The word number indicated as the j-th document sub-region corresponding to the target document, and Z' is indicated as the set reference word number.
Extracting the subject words corresponding to the document subareas from the maximum level titles of the document subareas corresponding to the target document to obtain the subject words corresponding to the document subareas of the target document, further matching the subject words corresponding to the document subareas of the target document with various pictures corresponding to the set various subject words to obtain various pictures corresponding to the document subareas of the target document, and removing repeated pictures from the pictures to obtain the preparation pictures corresponding to the document subareas of the target document;
and randomly screening matched pictures from the prepared pictures of the corresponding document subareas of the target document based on the number and the size of the pictures of the corresponding document subareas of the target document, and recording the matched pictures as picture pictures to serve as picture contents of the corresponding document subareas of the target document.
As a preferable scheme, the specific calculation process of the webpage illustration matching coefficient of the target document corresponding to each prepared webpage template in the fourth step is as follows:
extracting the number and the size of the illustrations corresponding to the document subareas of each prepared webpage template from the information corresponding to each prepared webpage template of the target document, and respectively marking as S' ij 、C′ ij ；
According to the formula
Figure GDA0004007774070000161
Calculating the matching coefficient delta of the webpage picture corresponding to each prepared webpage template of the target document i The web page artwork matching coefficients expressed as the i-th preliminary web page template corresponding to the target document,
Figure GDA0004007774070000162
the method is characterized in that the method is respectively represented as the number of the illustrations and the size of the illustrations corresponding to the jth document subarea in the ith prepared webpage template corresponding to the target document, delta S and delta C are respectively represented as the allowable difference of the set number of the illustrations and the allowable difference of the size of the illustrations, and v1 and v2 are respectively represented as the weight factors corresponding to the set number of the illustrations and the size of the illustrations.
It should be noted that, the purpose of matching the illustration size of each prepared web page template is to avoid the incompatibility and the operation complexity of the web page caused by the self-adjustment of the illustration size by the user, so as to promote the intelligence and the scientificity of the automatic generation of the web page.
In the embodiment, the target document is divided into the document subareas, so that the semantic consistency quantity, the keyword matching degree and the quantity of all levels of titles corresponding to the document subareas are comprehensively analyzed, the illustration quantity corresponding to the document subareas in the target document is obtained, and the illustration size corresponding to the document subareas in the target document is obtained according to the word quantity corresponding to the document subareas in the target document, so that the problem of page confusion caused by mismatching of the illustration quantity and the illustration size is avoided, and meanwhile, a great part of manpower resource and physical resource consumption is saved, the aesthetic property of page illustration is improved to a great extent, and the illustration requirements of various documents are met.
Fifthly, analyzing the center color of the target document webpage: and analyzing the regional center color of each document subregion corresponding to the target document based on the document type and the basic information corresponding to the target document, thereby obtaining the webpage tone matching coefficient of each prepared webpage template corresponding to the target document.
In the fifth step, the center color of the area corresponding to each document sub-area of the target document is analyzed based on the document type and basic information corresponding to the target document, and the specific analysis is as follows:
matching the subject words of the target document corresponding to the document subareas with the set area types corresponding to the various subject words to obtain the area types of the target document corresponding to the document subareas, matching the area types with the set area center colors corresponding to the various area types to obtain the area center colors of the target document corresponding to the document subareas, counting the number of the area center colors, simultaneously matching the area center colors with the set chromaticity values corresponding to the various center colors to obtain the chromaticity values of the area center colors in the target document corresponding to the document subareas, and marking the chromaticity values as Y j h, h is the number of the center color of each region, h=1, 2.
It should be noted that, the hues of different center colors are greatly different, and the coordination and matching of the center colors bring comfortable visual experience to people.
As a preferable solution, the specific calculation of the matching coefficient of the webpage tone of the target document corresponding to each prepared webpage template in the fifth step is as follows:
extracting the chromaticity value of the center color of each region in each document subarea corresponding to each prepared webpage template from the information of each prepared webpage template corresponding to the target document, and marking as Y '' ij h；
According to the formula
Figure GDA0004007774070000181
Calculating the webpage tone matching coefficient lambda of each prepared webpage template corresponding to the target document i And the overall chromaticity matching coefficient of the webpage corresponding to the ith prepared webpage template is expressed as a target document, and delta Y is respectively expressed as a set allowable chromaticity value difference of the regional center color.
In the embodiment of the invention, the chromaticity value of the center color of each area in each document subarea corresponding to the target document is obtained to obtain the webpage tone matching coefficient of each prepared webpage template corresponding to the target document, so that the defect that the user's own preference is substituted in the current static webpage making is effectively avoided, the matching degree of the tone of the made webpage and the document content is favorably ensured, the rationality and scientificity of the tone distribution of the made webpage are improved, and the accuracy of the content filling position and the normalization of the webpage arrangement are ensured to the maximum extent.
Step six, comprehensively analyzing a target document preparation webpage template: and comprehensively analyzing the webpage layout matching coefficients, the webpage illustration matching coefficients and the webpage tone matching coefficients of the prepared webpage templates corresponding to the target document to obtain the comprehensive matching coefficients of the prepared webpage templates corresponding to the target document.
As a preferable scheme, the specific calculation formula of the comprehensive matching coefficient of the target document corresponding to each prepared webpage template in the step six is xi i ＝η i *τ1+δ i *τ2+λ i *τ3，ξ i And (3) representing the comprehensive matching coefficients corresponding to the ith prepared webpage template of the target document, wherein τ1, τ2 and τ3 are respectively represented as set webpage layout matching coefficients, webpage illustration matching coefficients and correction factors corresponding to webpage tone matching coefficients.
Step seven, target document generation page analysis: and screening the prepared webpage template corresponding to the maximum comprehensive matching coefficient from the comprehensive matching coefficients of the prepared webpage templates corresponding to the target document, and marking the prepared webpage template as a generated webpage template, so that the target document is generated according to the generated webpage template based on the illustration content of the subareas of the documents corresponding to the target document.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.

Claims (8)

1. The automatic page generation analysis processing method based on webpage development is characterized by comprising the following steps of:
step one, obtaining basic information of a target document: acquiring basic information of a target document, wherein the basic information comprises names, contents, word numbers, paragraph numbers and title numbers of each level;
step two, analyzing a target document webpage template: analyzing the document type corresponding to the target document based on the basic information corresponding to the target document, and further obtaining information of each prepared webpage template corresponding to the target document;
thirdly, analyzing the layout of the target document web page: performing webpage layout matching analysis on each prepared webpage template corresponding to the target document based on the basic information corresponding to the target document, thereby obtaining webpage layout matching coefficients of each prepared webpage template corresponding to the target document;
fourth, target document webpage illustration analysis: analyzing the illustration content, the illustration size and the illustration quantity of each document subarea corresponding to the target document based on the basic information corresponding to the target document, and carrying out web page illustration matching analysis on each prepared web page template corresponding to the target document, thereby obtaining the web page illustration matching coefficient of each prepared web page template corresponding to the target document;
fifthly, analyzing the center color of the target document webpage: analyzing the regional center color of each document subregion corresponding to the target document based on the document type and basic information corresponding to the target document, thereby obtaining the webpage tone matching coefficient of each prepared webpage template corresponding to the target document;
step six, comprehensively analyzing a target document preparation webpage template: comprehensively analyzing the webpage layout matching coefficients, the webpage illustration matching coefficients and the webpage tone matching coefficients of the prepared webpage templates corresponding to the target document to obtain comprehensive matching coefficients of the prepared webpage templates corresponding to the target document;
step seven, target document generation page analysis: screening a prepared webpage template corresponding to the maximum comprehensive matching coefficient from the comprehensive matching coefficients of the prepared webpage templates corresponding to the target document, and marking the prepared webpage template as a generated webpage template, and further generating the target document according to the generated webpage template based on the illustration content of the sub-region of each document corresponding to the target document;
the specific analysis process of the webpage layout matching coefficient of the target document corresponding to each prepared webpage template is as follows:
extracting the total reference word number, the number of reference paragraphs, the number of reference titles of each level, the number of reference words of each paragraph and the number of reference words of each title in each level of titles of each corresponding document of each prepared webpage template from the information of each prepared webpage template corresponding to the target document, and respectively recording as N' i 、D′ i 、B′ i r、
Figure FDA0004007774060000021
i is denoted as the number of each prepared web page template, i=1, 2, & gt, n, r is denoted as the number of each title, r=1, 2, & gt, t, d is denoted as the number corresponding to each paragraph, d=1, 2, & gt, l, f is denoted as the number corresponding to each title, f=1, 2, & gt, g;
extracting the number of words corresponding to each paragraph and the number of words corresponding to each title in each level of titles from the number of words corresponding to the target document, and respectively recording as
Figure FDA0004007774060000022
And->
Figure FDA0004007774060000023
According to the formula
Figure FDA0004007774060000024
Calculating a webpage layout matching coefficient, eta, of each prepared webpage template corresponding to the target document i Webpage layout matching coefficient phi expressed as i-th prepared webpage template corresponding to target document i 、/>
Figure FDA0004007774060000025
γ i Respectively representing a document word number matching index, a paragraph matching index and a title matching index of the ith prepared webpage template corresponding to the target document, and respectively representing a set weight factor corresponding to the document word number matching index, the paragraph matching index and the title matching index by a1, a2 and a 3; />
In the above formula
Figure FDA0004007774060000026
e is expressed as a natural constant, N is expressed as the number of words corresponding to the target document, and delta N is expressed as the set allowable total number of words of the document;
Figure FDA0004007774060000031
d is expressed as the number of paragraphs corresponding to the target document, deltaD is expressed as the set allowable number difference of paragraphs, deltaW Segment(s) The number difference is expressed as a preset allowed paragraph number difference, and b1 and b2 are respectively expressed as a preset paragraph number and an influence factor corresponding to the paragraph number;
Figure FDA0004007774060000032
B r expressed as the number of corresponding r-th level titles of the target document, ΔB r The allowable number difference expressed as the set r-th level header,/->
Figure FDA0004007774060000033
The number difference of the allowed header words corresponding to the preset r-th level header is represented, and b3 and b4 are respectively represented as the preset number of the headers and the influence factors corresponding to the number of the header words.
2. The automatic generation analysis processing method for the web page based on the web page development according to claim 1, wherein the method comprises the following steps: in the second step, the document type corresponding to the target document is analyzed based on the basic information corresponding to the target document, and the specific analysis mode is as follows:
extracting the subject words from the names corresponding to the target documents to obtain the subject words corresponding to the target documents, and matching the subject words corresponding to the target documents with the document types corresponding to the set various subject words to obtain the document types corresponding to the target documents.
3. The automatic generation analysis processing method for the web page based on the web page development according to claim 2, wherein the method comprises the following steps: the information of the target document corresponding to each prepared webpage template in the second step is specifically obtained in the following way:
matching the document type corresponding to the target document with various webpage templates corresponding to the set various document types to obtain various matched webpage templates corresponding to the target document, marking the matched webpage templates as prepared webpage templates, numbering the prepared webpage templates as 1,2 according to a preset sequence, i, n, and simultaneously obtaining information of the prepared webpage templates corresponding to the target document.
4. The automatic generation analysis processing method of the webpage based on webpage development according to claim 3, wherein the method comprises the following steps: in the fourth step, the content, the size and the number of the illustrations of the sub-regions of each document corresponding to the target document are analyzed based on the basic information corresponding to the target document, and the specific analysis process is as follows:
dividing a target document into document areas according to the maximum level title to obtain each document subarea, and numbering each document subarea into 1,2 according to a preset sequence;
carrying out semantic recognition on each level of titles in each document subregion corresponding to the target document, simultaneously comparing the semantics corresponding to each level of titles, screening out the number of titles with the same semantics from the semantics, and recording the number as the number of consistent semantics;
extracting keywords of the target document corresponding to the document subareas to obtain keywords of the target document corresponding to the document subareas, constructing a keyword set of the target document corresponding to the document subareas, and recording as E j J is denoted as the number of each document sub-region, j=1, 2,..;
dividing the name of the target document into name words according to a set dividing mode, taking the name words as the keywords corresponding to the target document, further constructing a target document keyword set, marking as A, comparing the target document keyword set with the keyword set of the sub-regions of the target document corresponding to the document sub-regions to obtain the keyword matching degree of the target document corresponding to the document sub-regions, wherein the specific calculation formula is as follows
Figure FDA0004007774060000041
θ j The keyword matching degree of the j-th document subarea corresponding to the target document is expressed;
extracting the number of each level of titles corresponding to each document subarea from the number of each level of titles corresponding to the target document;
comprehensively analyzing the semantic consistency quantity, the keyword matching degree and the header quantity of each level in the corresponding document subareas of the target document to obtain the illustration quantity evaluation index of the corresponding document subareas of the target document, and marking the illustration quantity evaluation index as CT j ；
Matching the illustration quantity evaluation indexes of the target document corresponding to the document subareas with the illustration quantity corresponding to the set various illustration evaluation indexes to obtain the illustration quantity of the target document corresponding to the document subareas;
extracting the word number of each document subarea corresponding to the target document from the word number corresponding to the target document, thereby analyzing and obtaining the illustration size of each document subarea corresponding to the target documentEvaluation index, recorded as DC j Matching the illustration size evaluation indexes of the target document corresponding to the document subareas with the illustration sizes corresponding to the set various illustration size evaluation indexes to obtain the illustration sizes of the target document corresponding to the document subareas;
extracting the subject words corresponding to the document subareas from the maximum level titles of the document subareas corresponding to the target document to obtain the subject words corresponding to the document subareas of the target document, further matching the subject words corresponding to the document subareas of the target document with various pictures corresponding to the set various subject words to obtain various pictures corresponding to the document subareas of the target document, and removing repeated pictures from the pictures to obtain the preparation pictures corresponding to the document subareas of the target document;
and randomly screening matched pictures from the prepared pictures of the corresponding document subareas of the target document based on the number and the size of the pictures of the corresponding document subareas of the target document, and recording the matched pictures as picture pictures to serve as picture contents of the corresponding document subareas of the target document.
5. The automatic generation analysis processing method of the webpage based on webpage development according to claim 4, wherein the method is characterized in that: the specific calculation process of the webpage illustration matching coefficient of the target document corresponding to each prepared webpage template in the fourth step is as follows:
extracting the number and the size of the illustrations corresponding to the document subareas of each prepared webpage template from the information corresponding to each prepared webpage template of the target document, and respectively marking as S' ij 、C′ ij ；
According to the formula
Figure FDA0004007774060000061
Calculating the matching coefficient delta of the webpage picture corresponding to each prepared webpage template of the target document i Webpage illustration matching coefficient expressed as i < th > prepared webpage template corresponding to target document, < ->
Figure FDA0004007774060000062
The method is characterized in that the method is respectively represented as the number of the illustrations and the size of the illustrations corresponding to the jth document subarea in the ith prepared webpage template corresponding to the target document, delta S and delta C are respectively represented as the allowable difference of the set number of the illustrations and the allowable difference of the size of the illustrations, and v1 and v2 are respectively represented as the weight factors corresponding to the set number of the illustrations and the size of the illustrations.
6. The automatic generation analysis processing method of the webpage based on webpage development according to claim 5, wherein the method is characterized in that: in the fifth step, the area center color of each document subarea corresponding to the target document is analyzed based on the document type and basic information corresponding to the target document, and the specific analysis is as follows:
matching the subject words of the target document corresponding to the document subareas with the set area types corresponding to the various subject words to obtain the area types of the target document corresponding to the document subareas, matching the area types with the set area center colors corresponding to the various area types to obtain the area center colors of the target document corresponding to the document subareas, counting the number of the area center colors, simultaneously matching the area center colors with the set chromaticity values corresponding to the various center colors to obtain the chromaticity values of the area center colors in the target document corresponding to the document subareas, and marking the chromaticity values as Y j h, h is the number of the center color of each region, h=1, 2.
7. The automatic generation analysis processing method of the webpage based on webpage development according to claim 6, wherein the method is characterized in that: the specific calculation of the webpage tone matching coefficient of each prepared webpage template corresponding to the target document in the fifth step is as follows:
extracting the chromaticity value of the center color of each region in each document subarea corresponding to each prepared webpage template from the information of each prepared webpage template corresponding to the target document, and marking as Y '' ij h；
According to the formula
Figure FDA0004007774060000071
Calculating the webpage color of each prepared webpage template corresponding to the target documentAdjusting the matching coefficient lambda i And the overall chromaticity matching coefficient of the webpage corresponding to the ith prepared webpage template is expressed as a target document, and delta Y is respectively expressed as a set allowable chromaticity value difference of the regional center color.
8. The automatic generation analysis processing method of the webpage based on webpage development according to claim 7, wherein the method comprises the following steps: the specific calculation formula of the comprehensive matching coefficient of the target document corresponding to each prepared webpage template in the step six is xi i ＝η i *τ1+δ i *τ2+λ i *τ3，ξ i And (3) representing the comprehensive matching coefficients corresponding to the ith prepared webpage template of the target document, wherein τ1, τ2 and τ3 are respectively represented as set webpage layout matching coefficients, webpage illustration matching coefficients and correction factors corresponding to webpage tone matching coefficients.
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