CN117010349B - Form filling method, system and storage medium based on neural network model - Google Patents
Form filling method, system and storage medium based on neural network model Download PDFInfo
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- 238000003062 neural network model Methods 0.000 title claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims description 38
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- 230000010076 replication Effects 0.000 claims description 12
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- 238000004590 computer program Methods 0.000 claims description 8
- 238000013135 deep learning Methods 0.000 claims description 8
- 238000002372 labelling Methods 0.000 claims description 4
- 238000013527 convolutional neural network Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 8
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/174—Form filling; Merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2468—Fuzzy queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
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- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Abstract
The invention provides a form filling method, a form filling system and a storage medium based on a neural network model, which relate to the technical field of form filling and comprise the following steps: step S1, recording human resource information; s2, acquiring human resource information according to the input content and automatically filling the human resource information into a corresponding page form; s3, acquiring a focusing label; step S4, searching corresponding tag data in the copy content according to the focusing tag and filling the corresponding tag data into a corresponding form; s5, judging whether the form filling is successful or not; the method is used for solving the problems that the prior form filling technology has insufficient intelligence of a form filling method, so that the first data input is difficult to fill and the filling of all forms is difficult to meet.
Description
Technical Field
The invention relates to the technical field of form filling, in particular to a form filling method, a form filling system and a storage medium based on a neural network model.
Background
The form filling technology is a technology for automatically filling pre-prepared data into forms, and in human resource management work, a large number of forms such as recruitment application, employee information change, performance evaluation and the like need to be filled in, and a large number of repeated data such as names, positions, departments and the like usually need to be input.
The existing form filling technology is generally used for filling existing data, is difficult to fill the first data, is used for filling forms of fixed format types in an option mode when the forms are filled, is difficult to fill all types of forms, is used for filling only single forms in pages when the forms are filled, is difficult to fill all forms at the same time, for example, in Chinese patent with application publication number CN105337950A, a form filling method and related terminals are disclosed, the scheme is used for filling only the existing data when the forms are filled, the filling content is the data existing in the terminals or databases, the forms are difficult to fill when the information is recorded for the first time, and the existing form filling technology is also difficult to fill the forms, so that the problems of difficult filling the first data and difficult to fill all the forms are caused.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a form filling method based on a neural network model, which can analyze and search corresponding information based on existing human resource information and input content of a user, globally fill the corresponding human resource information into a page form when the user selects or previews, acquire copy content of the user and current focusing labels for non-existing human resource information, intelligently identify information corresponding to the focusing labels in the copy content and fill the information into the page form when the user pastes, so as to solve the problems that the prior form filling technology is not intelligent enough, and the input of first data is difficult to fill and the filling of all forms is difficult to meet.
To achieve the above object, in a first aspect, the present invention provides a form filling method based on a neural network model, including the steps of:
establishing a human resource database, recording human resource information, numbering each human resource information, and marking the human resource information as an information number;
acquiring user input content, acquiring human resource information according to the input content and automatically filling corresponding page forms;
acquiring copy content of a user and a currently focused form label, and marking the copy content and the currently focused form label as a focusing label;
analyzing the copy content and the focusing tag, searching corresponding tag data in the copy content according to the focusing tag, and filling the corresponding tag data into a corresponding form;
and loading a text content recognition model, analyzing the filled form content and the form label, and judging whether the form filling is successful or not.
Further, a human resource database is established, human resource information is recorded, each human resource information number is marked, and the method comprises the following substeps:
establishing a human resource database, and recording human resource information, wherein the human resource information comprises different human resource sub-information;
acquiring each piece of human resource information in turn, and acquiring the date of each piece of human resource information input, wherein the date is marked as the input date;
The method comprises the steps of enabling an input date to be accurate to the date, sequentially obtaining numbers in the input date, and removing the first two numbers to obtain a date number;
setting a sequence number, and adding one to the sequence number when generating the information number each time;
and combining the sequence numbers with the date numbers to obtain information numbers, and incorporating the information numbers into the human resource information.
Further, acquiring user input content, acquiring human resource information according to the input content and automatically filling corresponding page forms comprises the following sub-steps:
acquiring a form label focused by a user currently, and marking the form label as a focusing label;
acquiring input content of a user, matching the input content with human resource sub-information corresponding to the human resource database Jiao Biaoqian in a fuzzy query mode, and marking information obtained by fuzzy query as matching information;
the matching information is sent to a user, the matching information hovered by the mouse of the user is obtained, and the hovering preview information is marked;
inquiring the hovering preview information and the human resource sub-information corresponding to the focusing label in the human resource database, and marking the human resource information of the human resource sub-information corresponding to the hovering preview information as the information to be filled;
Filling the information to be filled into the corresponding page form;
inquiring whether a user clicks hovering preview information in real time, if so, closing pushed matching information; if not, after the hovering preview information is changed, the content in the page form is searched again and synchronously modified.
Further, the filling of the information to be filled into the corresponding page form comprises the following sub-steps:
searching a form label in the information to be filled and marking the form label as the information label to be filled;
searching form labels in the page and marking the form labels as labels to be filled;
searching the label to be filled which is the same as the information label to be filled, and filling the form content to which the information label to be filled belongs into the form to which the information label to be filled belongs.
Further, the step of obtaining the copy content of the user and the currently focused form tag includes the following sub-steps:
when a user performs a paste operation, obtaining copy content of the user;
and acquiring the currently focused form label, and marking the currently focused form label as an adhesive label.
Further, analyzing the copy content and the focus tag, searching the corresponding tag data in the copy content according to the focus tag and filling the corresponding tag data into the corresponding form, wherein the method comprises the following sub-steps:
reading whether form options exist in the copy content, and if so, outputting a document copy filling signal; if not, outputting a text duplication filling signal;
If the document copy filling signal is output, the document copy filling is carried out on the copy content;
and if the text replication filling signal is output, performing text replication filling on the replication content.
Further, if the document copy filling signal is output, the document copy filling of the copy content includes the following sub-steps:
searching a form label in the copy content, marking the form label as the copy label, and marking the form content corresponding to the copy label as label content;
acquiring a pasting label of a user, and marking a form to which the pasting label belongs as a form to be pasted;
traversing and comparing the adhesive label with the copy label, searching the copy label identical to the adhesive label, and marking the copy label as the identical label;
filling the label content of the same label into the form to be pasted, and changing the same label into the pasted label.
Further, if the text replication filling signal is output, text replication filling of the replication content includes the following sub-steps:
acquiring a pasting label of a user, and marking a form to which the pasting label belongs as a form to be pasted;
traversing and inquiring the paste label and the copy content, searching the first text word which is the same as the paste label in the copy content, and marking the first text word as a text label to be copied;
Acquiring form labels except the paste labels in the pages and marking the form labels as page labels;
traversing and inquiring the page tag and the copy content respectively, searching the first text word which is the same as the page tag in the copy content, and marking the first text word as a text separation tag;
deleting text characters before text labels to be copied in the copied content, performing traversal inquiry on the copied content, stopping searching after searching for a first text separation label, and marking the searched text separation label as a form content separation point;
deleting the form content separation points and text characters behind the form content separation points in the copied content, deleting the text labels to be copied, and marking the rest copied content as content to be pasted;
filling the to-be-pasted content into the to-be-pasted form.
Further, a text content recognition model is loaded, the filled form content and the form label are analyzed, and whether the form filling is successful or not is judged, wherein the method comprises the following substeps:
loading a text content identification model;
after the form filling is completed, the form label and the form content of the currently filled page form are obtained and marked as a label to be detected and a content to be detected respectively;
Identifying the content to be detected through a text content identification model, and marking the description related to the content to be detected as description content;
carrying out semantic analysis on the descriptive content and the label to be detected, judging whether the meanings of the descriptive content and the label to be detected are consistent or similar, and if so, outputting a form filling success signal; if not, outputting a form filling failure signal;
and performing deep learning on the description content corresponding to the form filling success signal and the label to be detected when the form filling failure signal is respectively performed.
In a second aspect, the invention provides a form filling system based on a neural network model, which comprises a data acquisition module, a filling analysis module, a form filling module and a human resource storage module; the data acquisition module, the form filling module and the human resource storage module are respectively connected with the filling analysis module in a data mode;
the data acquisition module comprises a human resource acquisition unit, a page data acquisition unit and a copy data acquisition unit; the human resource acquisition unit is used for acquiring human resource information; the page data acquisition unit is used for acquiring a focusing label of a page needing form filling and a page form; the copy data acquisition unit is used for acquiring copy content of a user;
The filling analysis module comprises an information numbering unit, a searching filling analysis unit, a copying filling analysis unit and a filling effect analysis unit; the information numbering unit is used for numbering the human resource information; the searching, filling and analyzing unit is used for acquiring human resource information according to the information number and automatically filling the human resource information into a corresponding page form; the copying filling analysis unit is used for analyzing the copying content and the focusing label, searching corresponding label data in the copying content according to the focusing label and filling the corresponding label data into a corresponding form; the filling effect analysis unit is used for analyzing the filled form content and the form label and judging whether the form filling is successful or not;
the form filling module is used for filling forms;
the human resource storage module is used for storing human resource information.
In a third aspect, the present application provides an electronic device comprising a processor and a memory storing computer readable instructions which, when executed by the processor, perform the steps of the method as described above.
In a fourth aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described above.
The invention has the beneficial effects that: the invention obtains the focusing label and the input content of the user, pushes the matching information for the user by carrying out fuzzy query on the input content, exports the corresponding human resource information from the human resource database according to the hovering or selected matching information of the user and fills the corresponding human resource information into the page form, and has the advantages that based on the existing human resource information, the user can select and obtain complete human resource information according to the matching information only by inputting some key information, and meanwhile, the previewing effect can be achieved through hovering of a mouse, so that filling errors are prevented, and the convenience and effectiveness of filling the human resource form are improved;
the invention determines whether the user copy content is in a document format or a plain text format according to whether the copy content contains the form or not, and adopts different form filling methods for the copy content in different formats, and has the advantages that for the copy content in the document format, corresponding form labels in the copy content can be searched according to the focus labels of the user and directly filled, for the copy content in the plain text format, corresponding information in the copy content can be searched according to the focus labels, and the range of the form content in the copy content can be determined according to other page labels and filled into the page form, thereby further improving the convenience and rationality of filling the human resource form;
The invention analyzes the filled form content and the form label through the text content recognition model, judges whether the description of the form content accords with the definition of the form label, judges whether the form filling is successful or not, and carries out deep learning on each form filling.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of the steps of the method of the present invention;
FIG. 2 is a schematic diagram of a human resources database-based filling method according to the present invention;
FIG. 3 is a flow chart of the steps of text duplication filling of the present invention;
FIG. 4 is a functional block diagram of the system of the present invention;
FIG. 5 is a connection block diagram of an electronic device of the present invention;
in the figure: 60. an electronic device; 601. a processor; 602. a memory.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Example 1
Referring to fig. 1, the present invention provides a form filling method based on a neural network model, which can analyze and find corresponding information based on existing human resource information and input content of a user, globally fill the corresponding human resource information into a page form when the user selects or previews, acquire copy content of the user and current focusing labels for non-existing human resource information, and intelligently identify information corresponding to the focusing labels in the copy content and fill the copy content into the page form when the user pastes, so as to solve the problems that the existing form filling technology is not intelligent enough, and the input of first data is difficult to fill and the filling of all forms is difficult to satisfy.
The human resource form filling method comprises the following steps of S1, recording human resource information; s2, acquiring human resource information according to the input content and automatically filling the human resource information into a corresponding page form; s3, acquiring a focusing label; step S4, searching corresponding tag data in the copy content according to the focusing tag and filling the corresponding tag data into a corresponding form; s5, judging whether the form filling is successful or not; the method comprises the following steps:
Step S1, a human resource database is established, human resource information is recorded, each human resource information number is marked as an information number; step S1 comprises the following sub-steps:
step S101, a human resource database is established, human resource information is recorded, and the human resource information comprises different human resource sub-information;
in particular implementations, the human resources database is the user's own database, human resources sub-information including, but not limited to, "name," "age," "phone," "work experience," "academic," and "personal ability";
step S102, sequentially acquiring each piece of human resource information, acquiring the date of each piece of human resource information input, and marking the date as the input date;
step S103, the date is accurately recorded to the date, the numbers in the recorded date are sequentially obtained, and the first two digits are removed to obtain a date number;
step S104, setting a sequence number, wherein the sequence number is initially 000, and adding one to the sequence number when generating the information number each time;
step S105, combining the sequence numbers with the date numbers to obtain information numbers, and incorporating the information numbers into the human resource information;
in the specific implementation, the input date is the date when the human resource information of the person is input into a human resource database of the user, the input date is 2023, 07 and 26 days, and the date number is 20230726; setting the sequence number to be 000 initially, and adding one to the sequence number to obtain a new sequence number of 001 when the information number is required to be generated currently, combining to obtain the information number of 20230726001, and incorporating the information number into the human resource information.
Referring to fig. 2, step S2 is to obtain user input content, obtain human resource information according to the input content, and automatically fill in a corresponding page form; because the human resource information generally comprises a plurality of forms, the efficiency of filling a single form can not meet the requirement of daily human resource management, the page forms need to be globally filled for searching and selecting a certain item, and the system can automatically fill all other page forms, so that the convenience of daily human resource management is greatly improved; step S2 comprises the following sub-steps:
step S201, a form label focused by a user at present is obtained and marked as a focusing label;
step S202, acquiring input content of a user, matching the input content with human resource sub-information corresponding to the human resource database cohesive Jiao Biaoqian in a fuzzy query mode, and marking information obtained by the fuzzy query as matching information;
in specific implementation, the fuzzy query is a fuzzy query method in the existing computer query technology, the fuzzy query can search all data comprising input content in a database according to user input content, the input content can be a part of the searched data, for example, the input of "king" is performed, the fuzzy query can search all data comprising "king" words in the database, the focus tag is obtained as an information number, the input content is the content input by the user in a form corresponding to the focus tag, the input content is obtained as 230726, the focus tag is the information number, all the information numbers in a human resource database are searched, and the fuzzy query is performed on the input content to obtain matching information 20230726001, 20230726002, 20230726003, 20230726004, 20230726005, 20230726006 and 20230726007;
Step S203, the matching information is sent to a user, the matching information hovered by the mouse of the user is obtained, and the hovering preview information is marked;
step S204, inquiring the hovering preview information and the human resource sub-information corresponding to the focusing label in the human resource database, and marking the human resource information of the human resource sub-information corresponding to the hovering preview information as the information to be filled;
in specific implementation, the matching information is sent to the user in a drop-down list mode, hover preview information of the user is 20230726001, human resource sub-information corresponding to the hover preview information is an information number, and the human resource information with the information number 20230726001 is marked as to-be-filled information;
step S205, filling the information to be filled into the corresponding page form;
step S205 includes the following sub-steps:
step S2051, form labels in the information to be filled are searched and marked as information labels to be filled;
step S2052, searching for a form label in the page and marking the form label as a label to be filled;
step S2053, searching for the label to be filled which is the same as the information label to be filled, and filling the form content to which the information label to be filled belongs into the form to which the information label to be filled belongs;
In specific implementation, the information labels to be filled in are searched and obtained, wherein the information labels comprise a name, an age, a telephone, a work experience, an academic and a personal ability; the searching to-be-filled label comprises the following steps: "name", "age", "phone", "work experience", "academic" and "personal ability"; and filling the form content of the information label to be filled into the form of the label to be filled, for example, the information label to be filled is 'name', the form content of the information label to be filled is 'Zhang Sano', and then filling the 'Zhang Sano' into the form of the label to be filled is 'name'.
Step S206, inquiring whether the user clicks the hovering preview information in real time, if so, closing the pushed matching information; if not, after the hovering preview information is changed, searching for and synchronously modifying the content in the page form again;
in specific implementation, the current hovering preview information is 20230726001, if the user clicks the hovering preview information, the pushed matching information is closed, and the form filling is completed.
Step S3, obtaining the copy content of the user and the currently focused form label, and marking the copy content and the currently focused form label as a focused label; step S3 comprises the following sub-steps:
Step S301, when a user performs a pasting operation, copy content of the user is obtained;
step S302, a currently focused form label is obtained and marked as an adhesive label;
in specific implementation, the obtained copy content is "name: liwu four-element bag
Age: 22
Telephone: 19999999999
The working process comprises the following steps: the students can take their chairman during school due to their students' life
The academic: gramineae (Gramineae)
Personal ability: strong adaptability, bitter taste and fatigue resistance; the obtained paste label is "work history".
S4, analyzing the copy content and the focusing tag, searching corresponding tag data in the copy content according to the focusing tag, and filling the corresponding tag data into a corresponding form; in practical application, a human resource manager usually inputs or copies and pastes human resource information manually when inputting the human resource information for the first time, and because the quantity of forms in the human resource information is excessive, the human resource information needs to be copied for many times when copied and pasted, and further the management efficiency of the human resource information is insufficient, therefore, the method fills the forms aiming at the copy content of the user, the user only needs to globally copy the human resource information needing to be input, and then selects the corresponding forms to paste, so that the corresponding information in the copy content can be intelligently filled into the forms, and the efficiency of human resource management is greatly improved; step S4 comprises the following sub-steps:
Step S401, reading whether form options exist in the copy content, and if so, outputting a document copy filling signal; if not, outputting a text duplication filling signal;
in the implementation, reading the form options in the copy content, and outputting a document copy filling signal; and simultaneously acquiring another copy content as' name: four ages of plum: 22 telephone: 19999999999 working experience: the students may take part in the student's chairman's school during the school period: personal ability of the family: the method has the advantages that the method has strong adaptability and is bitter and labor-resistant, the copy content has no form option, a text copy filling signal is output, and the other copy content is used for describing text copy filling and only represents copy content in the text copy filling in the step S403 and is irrelevant to copy content in the document copy filling.
Step S402, if a document copy filling signal is output, document copy filling is carried out on the copy content; in practical application, the formats of the human resource information to be input, which are taken by the user, are diversified, the whole document can be divided into document types and text types, the document types are usually provided with forms, the document types can directly correspond to form labels of page forms one by one, and the form filling can be more convenient and faster;
Step S402 includes the following sub-steps:
s4021, searching a form label in the copy content, marking the form label as the copy label, and marking the form content corresponding to the copy label as label content;
s4022, obtaining a paste label of a user, and marking a form to which the paste label belongs as a form to be pasted;
s4023, performing traversal comparison on the adhesive label and the copy label, searching the copy label identical to the adhesive label, and marking the copy label as the identical label;
s4024, filling the label content of the same label into a form to be pasted, and changing the same label into a pasted label;
in specific implementation, symbols before and after the form label are automatically removed, and the copy label is searched and obtained, wherein the copy label comprises a name, an age, a telephone, a work experience, an academic and personal ability; the label content comprises ' Liqu ', ' 22 ', ' 19999999999 ', ' should be born at any time, and the label content is used as a student's chairman ', ' family ' and ' strong adaptability, bitter and fatigue ' during school; at this time, the adhesive label is ' work experience ', the adhesive label and the copy label are subjected to traversal comparison, namely the sequential comparison is performed, the adhesive label is stopped after the copy label identical to the adhesive label is found, the identical label is ' work experience ' after finding, the label content corresponding to the identical label is ' due, the student will take the lead ' during school, the ' due will take the lead ' during school, the student will take the lead ' during school is filled into a form to be adhered, the ' work experience ' is marked as the adhered label, the adhered label is skipped when traversal comparison is performed, and the comparison efficiency is improved.
Referring to fig. 3, in step S403, if a text duplication filling signal is output, text duplication filling is performed on the duplicated content; in practical application, the text information does not have a form, the text information is usually in a character string form, and form filling of the text information needs to be skillfully analyzed, different labels and contents in the copied contents are separated and automatically filled into the corresponding forms;
step S403 includes the following sub-steps:
s4031, obtaining a paste label of a user, and marking a form to which the paste label belongs as a form to be pasted;
s4032, traversing the paste label and the copy content, searching the first text word which is the same as the paste label in the copy content, and marking the first text word as a text label to be copied;
in specific implementation, the paste label is a 'work experience', the form to which the paste label belongs is marked as a form to be pasted, the paste label and the copy content are subjected to traversal inquiry, and the copy content 'name' is obtained through searching: four ages of plum: 22 telephone: 19999999999 (working experience): the students may take part in the student's chairman's school during the school period: personal ability of the family: the text characters in brackets in the text labels are the same as the adhesive labels, so that the text labels are marked as text labels to be copied, and brackets are used for indicating the positions of the text labels to be copied, but are not added in the copied content;
S4033, acquiring form labels except the adhesive labels in the page and marking the form labels as page labels;
s4034, respectively performing traversal query on the page tag and the copy content, searching the first text word which is the same as the page tag in the copy content, and marking the first text word as a text separation tag;
in particular implementations, the page tags are obtained to include "name", "age", "phone", "academic" and "personal ability", and the duplicate content "(name) is obtained by traversing the query: four ages of plum: 22 (telephone): 19999999999 working experience: the students may take their role as chairmen (academy) during the school period: family (personal ability): the text characters in brackets in the text separation label are text separation labels, and the bracket marks are used for representing the positions of the text separation labels in the copied contents;
s4035, deleting text characters before the text labels to be copied in the copied contents, performing traversal query on the copied contents, stopping searching after searching for the first text separation label, and marking the searched text separation label as a form content separation point;
in specific implementation, deleting text characters before text labels to be copied in the copied content to obtain new copied content as' working experience: the students may take their role as chairmen (academy) during the school period: family (personal ability): strong adaptability, bitter and fatigue ", where brackets are intended to indicate where the rest of the text separator tag is located, rather than being added to the copied content; if the first text separation label is found to be the "academy", marking the "academy" as a form content separation point;
S4036, deleting the form content separation points and text characters behind the form content separation points in the copied content, deleting the text labels to be copied, and marking the rest copied content as content to be pasted;
s4037, filling the contents to be pasted into the form to be pasted;
in practical application, if the first character or the last character of the to-be-pasted content is found to be the punctuation mark, the to-be-pasted content is obtained as 'due, the student will take the lead' during the school period, and the 'due, the student will take the lead' during the school period is filled into the to-be-pasted form.
S5, loading a text content identification model, analyzing the filled form content and the form label, and judging whether the form filling is successful or not; in practical application, since the filling of the form is performed based on intelligent analysis, and the intelligent analysis is inevitably wrong, and after each form filling is completed, the subsequent analysis can be more accurate by deep learning, so that the convenience of human resource management is improved, and the step S5 comprises the following sub-steps:
Step S501, loading a text content recognition model;
in the implementation, the text content recognition model adopts the existing deep learning intelligent model based on the convolutional neural network to recognize the content of the text and judge what the content described by the text is related to;
step S502, after form filling is completed, form labels and form contents of a currently filled page form are obtained and marked as labels to be detected and contents to be detected respectively;
step S503, identifying the content to be detected through a text content identification model, and marking the description related to the content to be detected as description content;
in the implementation, the label to be detected is acquired as ' work experience ', the content to be detected is ' due, and the label is used as a student's chairman ' in the period of school; analyzing the content to be detected through a text content identification model to obtain a description content of 'experience in school' or 'experience in work';
step S504, carrying out semantic analysis on the description content and the label to be detected, judging whether the meaning of the description content is consistent or similar to that of the label to be detected, and if so, outputting a form filling success signal; if not, outputting a form filling failure signal;
Step S505, deep learning is carried out on the description content corresponding to the form filling success signal and the label to be detected when the form filling failure signal is respectively carried out;
in the implementation, semantic analysis is completed through an existing semantic analysis model, description content is 'experience in school' or 'experience in work', a label to be detected is 'experience in work', meaning of the description content and the label to be detected is consistent through semantic analysis, and a form filling success signal is output; in practical application, the result after each analysis is completed is input into a text content recognition model and a semantic analysis model, and the text content recognition model and the semantic analysis model can be subjected to deep learning, so that the subsequent analysis is more accurate.
Example 2
The embodiment aims to explain that in step S2, the input content of the user may be different form labels, but is not limited to information numbers, and in practical application, the user can obtain the same form filling effect when the form labels such as "name", "age", and "personal ability" are input;
s2, acquiring user input content, acquiring human resource information according to the input content and automatically filling the human resource information into a corresponding page form; step S2 comprises the following sub-steps:
Step S201, a form label focused by a user at present is obtained and marked as a focusing label;
step S202, acquiring input content of a user, matching the input content with human resource sub-information corresponding to the human resource database cohesive Jiao Biaoqian in a fuzzy query mode, and marking information obtained by the fuzzy query as matching information;
in the specific implementation, the focusing label is obtained as a name, the input content is the content input by the user in the form corresponding to the focusing label, the input content is obtained as Zhang three, all names in the human resource database are searched, fuzzy query is carried out on the input content, and the matching information is Zhang three, zhang Sanfeng and Zhang Sanqiao; the repeated matching information respectively represents two persons with the same name, and when a user hovers and previews the two persons, the user can obtain the human resource information corresponding to the two persons instead of the repeated information;
step S203, the matching information is sent to a user, the matching information hovered by the mouse of the user is obtained, and the hovering preview information is marked;
step S204, inquiring the hovering preview information and the human resource sub-information corresponding to the focusing label in the human resource database, and marking the human resource information of the human resource sub-information corresponding to the hovering preview information as the information to be filled;
In the implementation, the matching information is sent to the user in a pull-down list mode, the hovering preview information of the user is obtained to be Zhang Sani, the human resource sub-information corresponding to the hovering preview information is the name, then the human resource information which is named Zhang Sani is marked as the information to be filled, zhang Sani is Zhang Sani selected by the user instead of random one of two Zhang Sani, and the matching information sent by the system is information corresponding to one;
step S205, filling the information to be filled into the corresponding page form;
step S205 includes the following sub-steps:
step S2051, form labels in the information to be filled are searched and marked as information labels to be filled;
step S2052, searching for a form label in the page and marking the form label as a label to be filled;
step S2053, searching for the label to be filled which is the same as the information label to be filled, and filling the form content to which the information label to be filled belongs into the form to which the information label to be filled belongs;
in specific implementation, the information labels to be filled in are searched and obtained, wherein the information labels comprise a name, an age, a telephone, a work experience, an academic and a personal ability; the searching to-be-filled label comprises the following steps: "name", "age", "phone", "work experience", "academic" and "personal ability"; and filling the form content of the information label to be filled into the form of the label to be filled, for example, the information label to be filled is 'academy', the form content of the information label to be filled is 'Gramineae', and the 'Gramineae' is filled into the form of the label to be filled is 'academy'.
Step S206, inquiring whether the user clicks the hovering preview information in real time, if so, closing the pushed matching information; if not, after the hovering preview information is changed, searching for and synchronously modifying the content in the page form again;
in specific implementation, the current hovering preview information is Zhang San, the user is inquired that the hovering preview information is not clicked, and the hovering preview information is replaced by another Zhang San, and the corresponding information to be filled is modified.
Example 3
Referring to fig. 4, the present invention provides a form filling system based on a neural network model, which includes a data acquisition module, a filling analysis module, a form filling module, and a human resource storage module; the data acquisition module, the form filling module and the human resource storage module are respectively connected with the filling analysis module in a data way;
the data acquisition module comprises a human resource acquisition unit, a page data acquisition unit and a copy data acquisition unit; the human resource acquisition unit is used for acquiring human resource information; the page data acquisition unit is used for acquiring a focusing label of a page needing form filling and a page form; the copy data acquisition unit is used for acquiring copy content of a user;
The filling analysis module comprises an information numbering unit, a searching filling analysis unit, a copying filling analysis unit and a filling effect analysis unit; the information numbering unit is used for numbering the human resource information; the searching and filling analysis unit is used for acquiring human resource information according to the information number and automatically filling the corresponding page form; the copy filling analysis unit is used for analyzing the copy content and the focusing tag, searching corresponding tag data in the copy content according to the focusing tag and filling the corresponding tag data into a corresponding form; the filling effect analysis unit is used for analyzing the filled form content and the form label and judging whether the form filling is successful or not;
the form filling module is used for filling forms;
the human resource storage module is used for storing human resource information.
Example 4
Referring to fig. 5, the present application provides an electronic device 60, including a processor 601 and a memory 602, the memory 602 storing computer readable instructions that, when executed by the processor 601, perform steps as in the method described above. Through the above technical solutions, the processor 601 and the memory 602 are interconnected and communicate with each other through a communication bus and/or other form of connection mechanism (not shown), the memory 602 stores a computer program executable by the processor 601, which when the electronic device 60 is running, is executed by the processor 601 to perform the method in any of the alternative implementations of the above embodiments to implement the following functions: recording human resource information; acquiring human resource information according to the input content and automatically filling the human resource information into a corresponding page form; acquiring a focusing label; searching corresponding tag data in the copied content according to the focusing tag and filling the corresponding tag data into a corresponding form; and judging whether the form filling is successful or not.
Example 5
The present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described above. By the above technical solution, the computer program, when executed by the processor, performs the method in any of the alternative implementations of the above embodiments to implement the following functions: recording human resource information; acquiring human resource information according to the input content and automatically filling the human resource information into a corresponding page form; acquiring a focusing label; searching corresponding tag data in the copied content according to the focusing tag and filling the corresponding tag data into a corresponding form; and judging whether the form filling is successful or not.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Red Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. 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.
The above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (11)
1. The form filling method based on the neural network model is characterized by comprising the following steps of:
establishing a human resource database, recording human resource information, numbering each human resource information, and marking the human resource information as an information number;
acquiring user input content, acquiring human resource information according to the input content and automatically filling corresponding page forms; acquiring a form label focused by a user currently, and marking the form label as a focusing label;
Acquiring input content of a user, matching the input content with human resource sub-information corresponding to the human resource database Jiao Biaoqian in a fuzzy query mode, and marking information obtained by fuzzy query as matching information;
the matching information is sent to a user, the matching information hovered by the mouse of the user is obtained, and the hovering preview information is marked;
inquiring the hovering preview information and the human resource sub-information corresponding to the focusing label in the human resource database, and marking the human resource information of the human resource sub-information corresponding to the hovering preview information as the information to be filled;
filling the information to be filled into the corresponding page form;
inquiring whether a user clicks hovering preview information in real time, if so, closing pushed matching information; if not, after the hovering preview information is changed, searching for and synchronously modifying the content in the page form again;
acquiring copy content of a user and a currently focused form label, and marking the copy content and the currently focused form label as a paste label;
analyzing the copy content and the paste label, searching corresponding label data in the copy content according to the paste label and filling the corresponding label data into a corresponding form;
loading a text content recognition model, analyzing the filled form content and form labels, judging whether the form filling is successful, and recognizing the content of the text by adopting the existing deep learning intelligent model based on the convolutional neural network by the text content recognition model.
2. The form filling method based on the neural network model according to claim 1, wherein the steps of establishing a human resource database, recording human resource information, numbering each human resource information, and marking the information number comprise the following sub-steps:
establishing a human resource database, and recording human resource information, wherein the human resource information comprises different human resource sub-information;
acquiring each piece of human resource information in turn, and acquiring the date of each piece of human resource information input, wherein the date is marked as the input date;
the method comprises the steps of enabling an input date to be accurate to the date, sequentially obtaining numbers in the input date, and removing the first two numbers to obtain a date number;
setting a sequence number, and adding one to the sequence number when generating the information number each time;
and combining the sequence numbers with the date numbers to obtain information numbers, and incorporating the information numbers into the human resource information.
3. The form filling method based on the neural network model according to claim 2, wherein filling the information to be filled into the corresponding page form comprises the following sub-steps:
searching a form label in the information to be filled and marking the form label as the information label to be filled;
searching form labels in the page and marking the form labels as labels to be filled;
Searching the label to be filled which is the same as the information label to be filled, and filling the form content to which the information label to be filled belongs into the form to which the information label to be filled belongs.
4. The form filling method based on a neural network model of claim 3, wherein the obtaining of the copy content of the user and the currently focused form tag comprises the sub-steps of:
when a user performs a paste operation, obtaining copy content of the user;
and acquiring the currently focused form label, and marking the currently focused form label as an adhesive label.
5. The form filling method based on a neural network model of claim 4, wherein analyzing the copy content and the paste label, searching the corresponding label data in the copy content according to the paste label and filling the corresponding form comprises the following sub-steps:
reading whether form options exist in the copy content, and if so, outputting a document copy filling signal; if not, outputting a text duplication filling signal;
if the document copy filling signal is output, the document copy filling is carried out on the copy content;
and if the text replication filling signal is output, performing text replication filling on the replication content.
6. The form filling method based on a neural network model of claim 5, wherein if the document copy filling signal is outputted, the document copy filling of the copy contents includes the sub-steps of:
Searching a form label in the copy content, marking the form label as the copy label, and marking the form content corresponding to the copy label as label content;
acquiring a pasting label of a user, and marking a form to which the pasting label belongs as a form to be pasted;
traversing and comparing the adhesive label with the copy label, searching the copy label identical to the adhesive label, and marking the copy label as the identical label;
filling the label content of the same label into the form to be pasted, and changing the same label into the pasted label.
7. The form filling method based on a neural network model of claim 6, wherein if the text replication filling signal is output, text replication filling the replication content comprises the sub-steps of:
acquiring a pasting label of a user, and marking a form to which the pasting label belongs as a form to be pasted;
traversing and inquiring the paste label and the copy content, searching the first text word which is the same as the paste label in the copy content, and marking the first text word as a text label to be copied;
acquiring form labels except the paste labels in the pages and marking the form labels as page labels;
traversing and inquiring the page tag and the copy content respectively, searching the first text word which is the same as the page tag in the copy content, and marking the first text word as a text separation tag;
Deleting text characters before text labels to be copied in the copied content, performing traversal inquiry on the copied content, stopping searching after searching for a first text separation label, and marking the searched text separation label as a form content separation point;
deleting the form content separation points and text characters behind the form content separation points in the copied content, deleting the text labels to be copied, and marking the rest copied content as content to be pasted;
filling the to-be-pasted content into the to-be-pasted form.
8. The form filling method based on the neural network model according to claim 7, wherein loading the text content recognition model, analyzing the filled form content and the form label, and judging whether the form filling is successful comprises the following sub-steps:
loading a text content identification model;
after the form filling is completed, the form label and the form content of the currently filled page form are obtained and marked as a label to be detected and a content to be detected respectively;
identifying the content to be detected through a text content identification model, and marking the description related to the content to be detected as description content;
carrying out semantic analysis on the descriptive content and the label to be detected, judging whether the meanings of the descriptive content and the label to be detected are consistent or similar, and if so, outputting a form filling success signal; if not, outputting a form filling failure signal;
And performing deep learning on the description content corresponding to the form filling success signal and the label to be detected when the form filling failure signal is respectively performed.
9. The system applicable to the form filling method based on the neural network model as claimed in any one of claims 1 to 8, which is characterized by comprising a data acquisition module, a filling analysis module, a form filling module and a human resource storage module; the data acquisition module, the form filling module and the human resource storage module are respectively connected with the filling analysis module in a data mode;
the data acquisition module comprises a human resource acquisition unit, a page data acquisition unit and a copy data acquisition unit; the human resource acquisition unit is used for acquiring human resource information; the page data acquisition unit is used for acquiring a focusing label of a page needing form filling and a page form; the copy data acquisition unit is used for acquiring copy content of a user;
the filling analysis module comprises an information numbering unit, a searching filling analysis unit, a copying filling analysis unit and a filling effect analysis unit; the information numbering unit is used for numbering the human resource information; the searching, filling and analyzing unit is used for acquiring human resource information according to the information number and automatically filling the human resource information into a corresponding page form; the copy filling analysis unit is used for analyzing the copy content and the paste label, searching corresponding label data in the copy content according to the paste label and filling the label data into a corresponding form; the filling effect analysis unit is used for analyzing the filled form content and the form label and judging whether the form filling is successful or not;
The form filling module is used for filling forms;
the human resource storage module is used for storing human resource information.
10. An electronic device comprising a processor and a memory storing computer readable instructions that, when executed by the processor, perform the steps in the method of any of claims 1-8.
11. A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1-8.
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