CN112699872A - Form auditing processing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure relates to a form auditing processing method and device, electronic equipment and a computer readable storage medium, relates to the technical field of data processing, and can be applied to a scene for determining corresponding underwriting conclusion suggestions for to-be-processed insurance application forms. The method comprises the following steps: acquiring a form to be checked, and determining the characteristics of the form to be checked; acquiring a historical audit form, and performing feature extraction processing on the historical audit form to determine the features of a reference form; comparing the characteristics of the form to be audited with the characteristics of the reference form to determine a related audit form related to the form to be audited from the historical audit form; and determining a recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form. According to the method and the device, the insurance result can be automatically recommended to the insurance personnel according to the similarity between the insurance application form to be audited and the past insurance approved form.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a form audit processing method, a form audit processing apparatus, an electronic device, and a computer-readable storage medium.
Background
When people want to guarantee the related rights and interests, the rights and interests guarantee system can submit a protocol guarantee form to the rights and interests guarantee party, and related certification materials of the guaranteed party are provided through the protocol guarantee form. When the equity guarantee party receives the agreement guarantee form, whether the guaranteed party meets the guarantee standard of the equity guarantee party or not can be judged by reading the relevant proving materials in the form, so as to draw a conclusion whether the guarantee is provided or not finally.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a form audit processing method, a form audit processing apparatus, an electronic device, and a computer readable storage medium, so as to overcome at least to some extent the problems that a large amount of time and labor is consumed to determine whether to provide a guarantee by manual reading, and an application range is relatively limited due to a large difficulty in extracting non-quantitative indicators when a rule engine-based audit method is used.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the invention.
According to a first aspect of the present disclosure, a form audit processing method is provided, including: acquiring a form to be checked, and determining the characteristics of the form to be checked; acquiring a historical audit form, and performing feature extraction processing on the historical audit form to determine the features of a reference form; comparing the characteristics of the form to be audited with the characteristics of the reference form to determine a related audit form related to the form to be audited from the historical audit form; and determining a recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form.
Optionally, determining the features of the form to be checked includes: determining a form text in a form to be audited; the form text comprises form fields and corresponding form field values; and performing feature extraction based on the form field and the corresponding form field value to determine the features of the form to be checked.
Optionally, performing feature extraction processing on the historical review form to determine the reference form features includes: performing feature extraction processing on the historical audit form to determine all form features in the historical audit form; and sequencing the plurality of form features, and determining the reference form features according to the sequencing result.
Optionally, the sorting the multiple form features, and determining the reference form feature according to the sorting result includes: determining the result influence degree of each form characteristic on the form auditing result; sequencing the form characteristics according to the result influence degree to obtain a sequencing result; and selecting a preset number of form features from the sorting result as reference form features.
Optionally, comparing the features of the form to be audited with the features of the reference form to determine a related audit form related to the form to be audited from the historical audit form, including: comparing the characteristics of the form to be checked with the characteristics of the reference form to determine the characteristic similarity between the characteristics of the form to be checked and the characteristics of the reference form; determining a related audit form from the historical audit forms according to the feature similarity; and the feature similarity between the associated checking form and the form to be checked is greater than a similarity threshold.
Optionally, determining the feature similarity between the features of the form to be reviewed and the features of the reference form includes: performing vector conversion processing on the single features of the table to be examined to generate corresponding feature vectors to be examined; performing vector conversion processing on the reference form characteristics to generate corresponding reference characteristic vectors; and calculating the similarity between the feature vector to be audited and the reference feature vector.
Optionally, the number of the associated audit forms is one or more, and the determining of the recommended audit result of the to-be-audited form according to the associated audit result of the associated audit form includes: obtaining the correlation analysis result between each correlation audit form and the form to be audited; the correlation analysis result comprises similarity; determining a target audit form with the highest similarity to the form to be audited from the associated audit forms according to the associated analysis result; and taking the auditing result of the target auditing form as a recommended auditing result.
According to a second aspect of the present disclosure, there is provided a form audit processing apparatus, including: the first characteristic determining module is used for acquiring the form to be checked and determining the characteristics of the form to be checked; the second characteristic determining module is used for acquiring a historical audit form and performing characteristic extraction processing on the historical audit form to determine the characteristics of a reference form; the correlation form determining module is used for comparing the characteristics of the form to be audited with the characteristics of the reference form so as to determine a correlation audit form related to the form to be audited from the historical audit form; and the auditing result determining module is used for determining the recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form.
Optionally, the first feature determining module includes a first feature determining unit, configured to determine a form text in a form to be checked; the form text comprises form fields and corresponding form field values; and performing feature extraction based on the form field and the corresponding form field value to determine the features of the form to be checked.
Optionally, the second feature determining module includes a second feature determining unit, configured to perform feature extraction processing on the historical review form to determine all form features in the historical review form; and sequencing the plurality of form features, and determining the reference form features according to the sequencing result.
Optionally, the second feature determining unit includes a feature determining subunit, configured to determine a result influence degree of each form feature on the form audit result; sequencing the form characteristics according to the result influence degree to obtain a sequencing result; and selecting a preset number of form features from the sorting result as reference form features.
Optionally, the association form determining module includes an association form determining unit, configured to compare the features of the form to be checked with the features of the reference form to determine feature similarity between the features of the form to be checked and the features of the reference form; determining a related audit form from the historical audit forms according to the feature similarity; and the feature similarity between the associated checking form and the form to be checked is greater than a similarity threshold.
Optionally, the association form determining unit includes a similarity determining subunit, configured to perform vector transformation processing on the form features of the to-be-examined form to generate corresponding to-be-examined feature vectors; performing vector conversion processing on the reference form characteristics to generate corresponding reference characteristic vectors; and calculating the similarity between the feature vector to be audited and the reference feature vector.
Optionally, the audit result determining module includes an audit result determining unit, configured to obtain a correlation analysis result between each correlation audit form and the form to be audited; the correlation analysis result comprises similarity; determining a target audit form with the highest similarity to the form to be audited from the associated audit forms according to the associated analysis result; and taking the auditing result of the target auditing form as a recommended auditing result.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory having computer readable instructions stored thereon, the computer readable instructions, when executed by the processor, implementing a form audit processing method according to any of the above.
According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a form audit processing method according to any one of the above.
The technical scheme provided by the disclosure can comprise the following beneficial effects:
the form auditing processing method in the exemplary embodiment of the disclosure acquires a form to be audited and determines the characteristics of the form to be audited; acquiring a historical audit form, and performing feature extraction processing on the historical audit form to determine the features of a reference form; comparing the characteristics of the form to be audited with the characteristics of the reference form to determine a related audit form related to the form to be audited from the historical audit form; and determining a recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form. On one hand, the form to be audited is compared with the historical audit form, the recommended audit result of the form to be audited can be quickly determined according to the historical audit form, and the audit efficiency of the form is greatly improved. On the other hand, by extracting the form features of the form and determining the recommended auditing result according to the form features, the problem that non-quantitative indexes are difficult to extract when the auditing result is determined on the basis of a rule engine can be solved, and the method is suitable for forms to be audited containing various text data, and the application range is enlarged.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
FIG. 1 schematically illustrates a flow diagram of a form review processing method according to an exemplary embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow chart for determining a result of an audit of a form to be audited, according to an exemplary embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow diagram for determining reference form characteristics from a historical review form, according to an exemplary embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart for determining reference form characteristics from sorting results according to an exemplary embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart for determining an associated audit form, according to an exemplary embodiment of the present disclosure;
FIG. 6 schematically illustrates a flow diagram for determining feature similarity between features of a form to be reviewed and features of a reference form, according to an illustrative embodiment of the present disclosure;
FIG. 7 schematically illustrates a block diagram of a form review processing apparatus according to an exemplary embodiment of the present disclosure;
FIG. 8 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure;
fig. 9 schematically illustrates a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in the form of software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
When people want to guarantee the related rights and interests, the rights and interests guarantee system can submit a protocol guarantee form to the rights and interests guarantee party, and related certification materials of the guaranteed party are provided through the protocol guarantee form. For example, when the rights and interests guaranteeing party makes a guarantee request for his health, the insured party can provide related evidence materials such as a physical examination report, a recent medical record and the like to the rights and interests guaranteeing party through the protocol guarantee table. The rights and interests guaranteeing party judges whether the health condition of the guaranteed party meets the guarantee underwriting requirement or not by reading the relevant evidence data so as to provide an auditing conclusion of whether the guarantee is provided or not.
When the protocol guarantee form of the insured party is audited to determine the audit result of the protocol guarantee form, the auditing can be generally performed in the following two ways: one scheme is that the equity guarantee party manually reads an equity guarantee form submitted by a guaranteed party, wherein the equity guarantee form comprises materials such as a related physical examination report, a medical record, a financial condition description and the like, and then refers to related guaranteed requirements provided by the guaranteed party to obtain a corresponding audit conclusion. However, when the review conclusion is determined by manual reading, a large amount of manual labor is usually consumed, so that the review period is long, and the review scale is inconsistent due to the human-to-human cognitive deviation.
The other scheme is that an automatic auditing system based on a rule engine is built by the rights and interests guaranteeing party, auditing requirements of various rights and interests are disassembled into a plurality of rights and interests auditing rules, and corresponding auditing results are given through the logical combination of the rules. According to the automatic auditing system based on the rule engine, when all conditions required by the rule can be extracted from the data submitted by the client, the corresponding auditing conclusion can be accurately provided, however, in the actual auditing business, most of the data submitted by the client in the right guarantee case are not comprehensive, and the required fields can not be accurately obtained. In addition, in the structured field result required by the rule, the difficulty of automatic extraction of non-quantitative indexes is very high, so the application range of the method is limited.
Based on this, in the present exemplary embodiment, first, a form audit processing method is provided, which may be implemented by using a server, or may also be implemented by using a terminal device, where the terminal described in the present disclosure may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palm computer, a Personal Digital Assistant (PDA), and a fixed terminal such as a desktop computer. FIG. 1 schematically illustrates a schematic diagram of a form review processing method flow, according to some embodiments of the present disclosure. Referring to fig. 1, the form audit processing method may include the following steps:
step S110, obtaining the form to be checked, and determining the characteristics of the form to be checked.
Step S120, obtaining the historical audit form, and performing feature extraction processing on the historical audit form to determine the features of the reference form.
Step S130, comparing the characteristics of the form to be audited with the characteristics of the reference form to determine a related audit form related to the form to be audited from the historical audit form.
And step S140, determining a recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form.
According to the form review processing method in the embodiment, on one hand, the form to be reviewed is compared with the historical review form, so that the recommended review result of the form to be reviewed can be quickly determined according to the historical review form, and the form review efficiency is greatly improved. On the other hand, by extracting the form features of the form and determining the recommended auditing result according to the form features, the problem that non-quantitative indexes are difficult to extract when the auditing result is determined on the basis of a rule engine can be solved, and the method is suitable for forms to be audited containing various text data, and the application range is enlarged.
In this disclosure, it is to be understood that reference to terms such as: insuring cases, wherein an insurant submits an insuring application to an insurance company, and one insuring application appears as one insuring case to the insurance company; an application case may correspond to one or more application forms. The underwriting can be a process that an insurer judges and classifies the insurable risks on the basis of comprehensively grasping and verifying the information of the insurable target, and further determines whether to underwrite or not and under what conditions to underwrite. The applicant may be a person who has contracted an insurance contract with the insurer and is under the obligation to pay the premium pursuant to the insurance contract. The insured life may be a contractually insured person having the right to claim the insurer for loss compensation or to receive insurance benefits in the same insurance contract when an insurance accident occurs or when the insurance expires.
Next, a form audit processing method in the present exemplary embodiment will be further described.
In step S110, a to-be-checked form is obtained, and features of the to-be-checked form are determined.
In some exemplary embodiments of the present disclosure, the form to be checked may be an insurance application form corresponding to an insurance application request submitted by an applicant to an insurance company, and a service staff of the insurance company may check the form to be checked to determine an audit result of the form to be checked. The form features to be checked can be form features determined after feature extraction is carried out on the form to be checked; for example, the form characteristics to be reviewed may include characteristics of age, gender, risk species, risk class, warranty, diagnosis, examination items, and the like.
The insurance company can receive an application request of an applicant, and the application request of the applicant can comprise one or more application forms which can be used as forms to be audited. After the form to be checked is obtained, feature extraction processing can be performed on the form to be checked, and features of the form to be checked in the form to be checked are determined.
According to some exemplary embodiments of the present disclosure, form text in a form to be audited is determined; the form text comprises form fields and corresponding form field values; and performing feature extraction based on the form field and the corresponding form field value to determine the features of the form to be checked.
The form text may be text data included in the form to be checked. The form field can be a keyword field contained in a form to be audited; for example, form fields may include age, gender, risk species, risk class, warranty, diagnosis, and the like. The form field value may be a field value corresponding to a form field included in the form to be checked.
After the form to be checked is obtained, the form text in the form to be checked may be determined, and generally, the form text may include a form field and a form field value corresponding to the form field. And extracting features according to the form field and the form field value in the form to be checked, and determining the features of the form to be checked. Specifically, before feature extraction is performed on the form to be examined, the form data in the form to be examined may be first subjected to structural processing, a form field and a corresponding form field value in the form to be examined are extracted, and the form field and the corresponding form field value are converted into a key-value form, so as to complete a structural processing process of the form data.
After the structured form data is obtained, feature extraction can be performed on the form data, and features of age, gender, risk species, risk class, insurance, diagnosis, inspection items and the like contained in the form data are extracted and used as features of the form to be audited.
In step S120, a history audit form is obtained, and feature extraction processing is performed on the history audit form to determine a reference form feature.
In some exemplary embodiments of the present disclosure, the historical audit form may be an insurance application of an insured that has undergone an underwriting process by an insurer, the historical audit form including base form data and form audit results. The reference form features may be form features obtained by performing feature extraction processing on a historical review form, and the reference form features are used for comparing with a form to be reviewed and determining a recommended review result.
Referring to fig. 2, fig. 2 schematically illustrates a flow chart for determining an audit result of a form to be audited, according to an exemplary embodiment of the present disclosure. In step S210, a history audit form may be obtained, data mining may be performed on the history audit form, feature selection may be performed from the history audit form, and a reference form feature may be determined. In the process of extracting the features of the reference form, a feature derivation mode can be adopted, wherein the feature derivation is that the existing features are combined in a certain way to generate new meaningful features. Because the feature dimensions of the data in the policy are relatively fixed, sometimes fields in the policy cannot completely represent all information of the data, and at this time, the existing data can be combined to generate a new feature, so that the generated new feature is used as one of the features of the reference form.
According to some exemplary embodiments of the present disclosure, feature extraction processing is performed on a historical audit form to determine all form features in the historical audit form; and sequencing the plurality of form features, and determining the reference form features according to the sequencing result.
Referring to FIG. 3, FIG. 3 schematically illustrates a flow diagram for determining reference form characteristics from a historical audit form, according to an exemplary embodiment of the present disclosure. In step S310, after the history audit form is obtained, feature extraction processing may be performed on the history audit form to determine all form features included in the history audit form. Before feature extraction is performed on the historical audit form, the form data included in the historical audit form may be first subjected to structural processing to generate a corresponding key value pair form, and then feature extraction is performed on the structured historical audit form to select a feature with a higher risk correlation of the audit form, for example, the determined reference form features may include age, gender, risk category, warranty, diagnosis, inspection items, and the like. In step S320, after the reference form features are determined, all the form features may be sorted according to the influence of each reference form feature on the review result, and a suitable reference form feature is selected.
According to some exemplary embodiments of the present disclosure, determining a result influence degree of each form characteristic on a form audit result; sequencing the form characteristics according to the result influence degree to obtain a sequencing result; and selecting a preset number of form features from the sorting result as reference form features. The result influence degree can be the influence degree of the form characteristics on the form audit result.
Referring to fig. 4, fig. 4 schematically illustrates a flow chart for determining reference form characteristics from the sorted results according to an exemplary embodiment of the present disclosure. In step S410, after feature extraction is performed on the history audit form, all form features included in the history audit form may be obtained, and a result influence degree of each form feature on the form audit result is determined. For example, in a business scenario such as health insurance or life insurance, characteristics such as age and the health status of an insured have a large influence on form audit results, while characteristics such as gender and region have a small influence on form audit results. In step S420, after determining the result influence degree of each form feature on the form audit result, the form features may be sorted from large to small according to the result influence degree, and a corresponding sorting result is obtained. For example, in the health insurance business, the obtained ranking results are the health status, age, premium, age and other relevant characteristics of the insured person, and the like. In step S430, after the ranking result is obtained, a certain number of features may be selected from the ranking result as features of the reference form, and a weight coefficient corresponding to each feature may be determined according to a degree of influence of each feature on the audit result.
By carrying out data mining and feature selection on the historical audit form, the number of features can be reduced, the dimension can be reduced, and the generalization capability of the model is stronger when feature comparison is carried out subsequently; in addition, the understanding between features and feature values may be enhanced.
In step S130, the features of the form to be reviewed are compared with the features of the reference form to determine an associated review form related to the form to be reviewed from the historical review form.
In some example embodiments of the present disclosure, the associated review form may be a form having a characteristic similarity to the form to be reviewed. The audit result of the associated audit form can be used to determine the audit result of the form to be audited.
After the features of the form to be audited and the features of the reference form corresponding to the form to be audited and the historical audit form are extracted, feature comparison can be performed on the features of the form to be audited and the features of the reference form, a relevant audit form is determined from the historical audit form according to the feature comparison result, and the audit result of the form to be audited is determined according to the form audit result of the relevant audit form.
According to some exemplary embodiments of the present disclosure, the form features to be reviewed are compared with the reference form features to determine feature similarities between the form features to be reviewed and the reference form features; determining a related audit form from the historical audit forms according to the feature similarity; and the feature similarity between the associated checking form and the form to be checked is greater than a similarity threshold. The feature similarity may be a feature similarity between the features of the form to be reviewed and the features of the reference form, and a higher feature similarity indicates that the features of the form to be reviewed are more similar to the features of the reference form. The similarity threshold may be a preset value compared with the feature similarity.
Referring to FIG. 5, FIG. 5 schematically illustrates a flow chart for determining an associated audit form, according to an exemplary embodiment of the present disclosure. In step S510, after the features of the form to be reviewed and the features of the reference form are obtained, the features of the form to be reviewed and the features of the reference form corresponding to each historical review form may be compared, and the similarity between the two features may be calculated. In step S520, an associated review form related to the form to be reviewed may be determined from the historical review form according to the similarity between the two features, where the feature similarity between the associated review form and the form to be reviewed is greater than a similarity threshold.
According to some exemplary embodiments of the present disclosure, vector transformation processing is performed on a list feature of a to-be-audited table to generate a corresponding to-be-audited feature vector; performing vector conversion processing on the reference form characteristics to generate corresponding reference characteristic vectors; and calculating the similarity between the feature vector to be audited and the reference feature vector. The vector conversion processing may be a process of constructing a corresponding feature space from the form features, and converting feature values of each form feature into different feature vectors in the same feature space according to each extracted form feature. The feature vector to be audited can be a feature vector obtained by performing vector conversion processing on the single feature of the table to be audited. The reference feature vector may be a feature vector obtained by performing vector transformation processing on the features of the reference form.
After the form features are determined, a feature space can be constructed, and feature vectors of information in the historical audit form are extracted. Referring to fig. 6, fig. 6 schematically illustrates a flow chart for determining feature similarity between features of a form to be reviewed and features of a reference form, according to an exemplary embodiment of the present disclosure. In step S610, after determining the features of the form to be checked, a corresponding vector space may be constructed, vector conversion processing is performed on the features of the form to be checked, and the feature values of the form to be checked are converted into feature vectors in the feature space, that is, feature vectors to be checked. In step S620, after the reference form features corresponding to each historical audit form are determined, vector conversion processing is performed on the reference form features, and feature values in each historical audit form are converted into feature vectors in the same feature space, that is, reference feature vectors. In step S630, after the feature vector to be checked and the reference feature vector are obtained, a Similarity between the feature vector to be checked and the reference feature vector may be calculated, for example, a Cosine Similarity (Cosine Similarity) algorithm may be used to calculate the Similarity between the feature vector to be checked and the reference feature vector.
It is easily understood by those skilled in the art that the Similarity between the feature vector to be examined and the reference feature vector can be calculated by other Similarity algorithms, for example, Euclidean Distance (Euclidean Distance) algorithm, Pearson Correlation (Pearson Correlation) algorithm, and Jaccard Similarity (Jaccard Similarity) algorithm, and the present disclosure does not limit the Similarity algorithm used in any way.
In addition, the sequence of determining the feature vector of the form to be audited and the reference feature vector of the historical audit form is not limited in any way. Referring to fig. 2, in step S220, after the historical review form is determined, the feature vectors in the historical review form may be extracted. In step S230, after the form to be checked is obtained, the feature vector in the form to be checked may be extracted, and the similarity between the feature vector in the form to be checked and the feature vector of the historical check form is calculated. In step S240, according to a predefined similarity threshold, an audit suggestion result of the to-be-audited form is determined from the audit form exceeding the similarity threshold.
In step S140, a recommended audit result of the to-be-audited form is determined according to the associated audit result of the associated audit form.
In some exemplary embodiments of the present disclosure, the recommended review result may be a recommended review result corresponding to the to-be-reviewed form determined according to the associated review result.
After the one or more associated audit forms are determined, the one or more associated audit forms, the form audit results and the statistical analysis results of the form characteristics can be displayed to a user (namely, an underwriting business worker), and the recommended audit result of the form to be audited is determined according to the associated audit results of the associated audit forms. Specifically, all the associated audit forms can be displayed to the user in a form of a list through a user interactive interface, and after the user selects one associated audit form, detailed information of the associated audit form, that is, complete form information of the form, is correspondingly displayed, so that the underwriting business personnel can further judge the accuracy of the recommended audit result of the form to be audited.
According to some exemplary embodiments of the present disclosure, obtaining a correlation analysis result between each correlation audit form and a form to be audited; the correlation analysis result comprises similarity; determining a target audit form with the highest similarity to the form to be audited from the associated audit forms according to the associated analysis result; and taking the auditing result of the target auditing form as a recommended auditing result.
The correlation analysis result may be an analysis result of feature similarity between each correlation audit form and the form to be audited. The target audit form may be the audit form with the highest similarity to the list to be audited in the associated audit form.
After one or more associated audit forms are determined, the association analysis result between each associated audit form and the form to be audited can be determined; the correlation analysis result includes the similarity of the characteristics between the correlation checking form and the form to be checked. And determining a target audit form with the highest similarity with the form to be audited from the associated audit forms according to the associated analysis result. And acquiring a target audit form, and taking the audit result of the target audit form as the recommended audit result of the form to be audited.
Taking the health insurance service as an example, the recommended auditing result of the form to be audited may include: the insurance can be ensured, corresponding to the physical health of the insured person or the normal physical examination condition; certain insurance may exist, but the insurance amount is limited, which corresponds to the insured person with diabetes or over-fat; delay and guarantee; if the insured life is refused, the insured life has specific diseases, such as heart disease, epilepsy and the like.
After the recommended audit result of the form to be audited is obtained, the underwriting operator can recheck the recommended audit result, and if the recommended audit result is considered to be deviated from the actual situation, the recommended audit result can be modified.
In summary, the form audit processing method of the present disclosure obtains the form to be audited, and determines the form characteristics of the form to be audited; acquiring a historical audit form, and performing feature extraction processing on the historical audit form to determine the features of a reference form; comparing the characteristics of the form to be audited with the characteristics of the reference form to determine a related audit form related to the form to be audited from the historical audit form; and determining a recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form. On one hand, the form to be audited is compared with the historical audit form, the recommended audit result of the form to be audited can be quickly determined according to the historical audit form, and the audit efficiency of the form is greatly improved. On the other hand, by extracting the form features of the form and determining the recommended auditing result according to the form features, the problem that non-quantitative indexes are difficult to extract when the auditing result is determined on the basis of a rule engine can be solved, and the method is suitable for forms to be audited containing various text data, and the application range is enlarged. In another aspect, by comparing the similarity between the features of the form to be audited and the features of the reference form, audit result suggestions based on the historical audit form can be recommended for the form to be audited, and the accuracy of the obtained audit results is improved.
It is noted that although the steps of the methods of the present invention are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
In addition, in the present exemplary embodiment, a form audit processing apparatus is also provided. Referring to fig. 7, the form audit processing apparatus 700 may include: a first characteristic determination module 710, a second characteristic determination module 720, an association form determination module 730, and an audit result determination module 740.
Specifically, the first characteristic determining module 710 is configured to obtain a form to be checked, and determine characteristics of the form to be checked; the second feature determination module 720 is configured to obtain a historical review form, and perform feature extraction processing on the historical review form to determine a reference form feature; the association form determining module 730 is configured to compare the features of the form to be audited with the features of the reference form, so as to determine an association audit form related to the form to be audited from the historical audit form; the review result determining module 740 is configured to determine a recommended review result of the to-be-reviewed form according to the associated review result of the associated review form.
In an exemplary embodiment of the present disclosure, the first feature determination module includes a first feature determination unit, configured to determine a form text in a form to be checked; the form text comprises form fields and corresponding form field values; and performing feature extraction based on the form field and the corresponding form field value to determine the features of the form to be checked.
In an exemplary embodiment of the present disclosure, the second feature determination module includes a second feature determination unit, configured to perform feature extraction processing on the historical audit form to determine all form features in the historical audit form; and sequencing the plurality of form features, and determining the reference form features according to the sequencing result.
In an exemplary embodiment of the present disclosure, the second feature determining unit includes a feature determining subunit, configured to determine a result influence degree of each form feature on the form audit result; sequencing the form characteristics according to the result influence degree to obtain a sequencing result; and selecting a preset number of form features from the sorting result as reference form features.
In an exemplary embodiment of the present disclosure, the association form determination module includes an association form determination unit, configured to compare a feature of a form to be checked with a feature of a reference form, so as to determine a feature similarity between the feature of the form to be checked and the feature of the reference form; determining a related audit form from the historical audit forms according to the feature similarity; and the feature similarity between the associated checking form and the form to be checked is greater than a similarity threshold.
In an exemplary embodiment of the present disclosure, the association form determining unit includes a similarity determining subunit, configured to perform vector transformation processing on a to-be-examined form feature to generate a corresponding to-be-examined feature vector; performing vector conversion processing on the reference form characteristics to generate corresponding reference characteristic vectors; and calculating the similarity between the feature vector to be audited and the reference feature vector.
In an exemplary embodiment of the present disclosure, the audit result determining module includes an audit result determining unit, configured to obtain an association analysis result between each association audit form and the form to be audited; the correlation analysis result comprises similarity; determining a target audit form with the highest similarity to the form to be audited from the associated audit forms according to the associated analysis result; and taking the auditing result of the target auditing form as a recommended auditing result.
The details of the virtual modules of each form audit processing apparatus have been described in detail in the corresponding form audit processing method, and therefore are not described herein again.
It should be noted that although several modules or units of the form audit processing apparatus are mentioned in the above detailed description, such division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 800 according to such an embodiment of the invention is described below with reference to fig. 8. The electronic device 800 shown in fig. 8 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in fig. 8, electronic device 800 is in the form of a general purpose computing device. The components of the electronic device 800 may include, but are not limited to: the at least one processing unit 810, the at least one memory unit 820, a bus 830 connecting different system components (including the memory unit 820 and the processing unit 810), and a display unit 840.
Wherein the storage unit stores program code that is executable by the processing unit 810 to cause the processing unit 810 to perform steps according to various exemplary embodiments of the present invention as described in the "exemplary methods" section above in this specification.
The storage unit 820 may include readable media in the form of volatile storage units, such as a random access storage unit (RAM)821 and/or a cache storage unit 822, and may further include a read only storage unit (ROM) 823.
The electronic device 800 may also communicate with one or more external devices 870 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 800, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 800 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 850. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 860. As shown, the network adapter 860 communicates with the other modules of the electronic device 800 via the bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when said program product is run on the terminal device.
Referring to fig. 9, a program product 900 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (10)
1. A form auditing processing method is characterized by comprising the following steps:
acquiring a form to be checked, and determining the characteristics of the form to be checked;
acquiring a history audit form, and performing feature extraction processing on the history audit form to determine the features of a reference form;
comparing the characteristics of the form to be audited with the characteristics of the reference form to determine a related audit form related to the form to be audited from the historical audit form;
and determining the recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form.
2. The method of claim 1, wherein the determining the characteristics of the form to be reviewed comprises:
determining a form text in the form to be audited; the form text comprises form fields and corresponding form field values;
and performing feature extraction based on the form field and the corresponding form field value to determine the features of the form to be audited.
3. The method of claim 1, wherein the performing feature extraction processing on the historical review form to determine reference form features comprises:
performing feature extraction processing on the historical audit form to determine all form features in the historical audit form;
and sequencing the form features, and determining the reference form features according to a sequencing result.
4. The method of claim 3, wherein the sorting the plurality of form features and determining the reference form feature according to the sorting result comprises:
determining the result influence degree of each form characteristic on the form auditing result;
sequencing the form characteristics according to the result influence degree to obtain a sequencing result;
and selecting a preset number of form features from the sorting result as the reference form features.
5. The method of claim 1, wherein comparing the features of the form to be reviewed with the features of the reference form to determine an associated review form from the historical review form that is related to the form to be reviewed comprises:
comparing the form features to be checked with the reference form features to determine feature similarity between the form features to be checked and the reference form features;
determining the associated audit form from the historical audit form according to the feature similarity; and the feature similarity between the associated auditing form and the form to be audited is greater than a similarity threshold.
6. The method of claim 5, wherein the determining the feature similarity between the features of the form to be reviewed and the features of the reference form comprises:
performing vector conversion processing on the features of the form to be audited to generate corresponding feature vectors to be audited;
performing vector conversion processing on the reference form characteristics to generate corresponding reference characteristic vectors;
and calculating the similarity between the feature vector to be audited and the reference feature vector.
7. The method of claim 1, wherein the number of the associated audit forms is one or more, and the determining the recommended audit result of the to-be-audited form according to the associated audit result of the associated audit form comprises:
obtaining the correlation analysis result between each correlation audit form and the form to be audited; the correlation analysis result comprises a similarity;
determining a target audit form with the highest similarity to the form to be audited from the associated audit forms according to the associated analysis result;
and taking the auditing result of the target auditing form as the recommended auditing result.
8. A form audit processing apparatus, comprising:
the first characteristic determining module is used for acquiring a form to be checked and determining the characteristics of the form to be checked;
the second characteristic determining module is used for acquiring a historical audit form and performing characteristic extraction processing on the historical audit form to determine the characteristics of a reference form;
the correlation form determining module is used for comparing the characteristics of the form to be audited with the characteristics of the reference form so as to determine a correlation audit form related to the form to be audited from the historical audit form;
and the auditing result determining module is used for determining the recommended auditing result of the form to be audited according to the associated auditing result of the associated auditing form.
9. An electronic device, comprising:
a processor; and
a memory having stored thereon computer readable instructions which, when executed by the processor, implement a form audit processing method according to any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, implements a form audit processing method according to any one of claims 1 to 7.
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