Legal consultation auxiliary analysis method, system and terminal

Abstract

The invention relates to a legal consultation auxiliary analysis method, system and terminal, and relates to the technical field of consultation service, and the method comprises the steps: obtaining user consultation input information; determining consultation type information and consultation question information according to the user consultation input information; determining reply template information corresponding to the consultation type information according to a corresponding relationship between the consultation type information and preset reply template information; determining consultation result information according to the consultation type information and the consultation question information; calling a consultation user account based on the user consultation input information; and determining reply output information according to the consultation result information and the reply template information, and outputting the reply output information to the consultation user account. The method has the effect of facilitating the common public to carry out legal consultation service.

Description

Technical Field

[0001] The present invention relates to the technical field of consulting services, and in particular to a legal consulting auxiliary analysis method, system and terminal. Background Art

[0002] Consulting services refer to professional organizations or individuals using their professional knowledge, experience and skills to provide clients with targeted advice, solutions or guidance to help clients solve specific problems or achieve their goals. Consulting services cover a variety of areas, including management, finance, law, technology, human resources, marketing, etc.

[0003] With the development of society and the increase in legal needs, legal consulting services are becoming more and more important. However, legal consulting services require professional legal knowledge, and currently legal consulting services are generally provided by professional lawyers.

[0004] When professional lawyers are used to provide legal consulting services, the general public needs to find a lawyer and make an appointment in advance, which usually takes a long time and requires high lawyer consultation fees. This brings inconvenience to ordinary users and makes it inconvenient for the general public to obtain legal consulting services. Summary of the invention

[0005] In order to facilitate the general public to obtain legal consulting services, the present invention provides a legal consulting auxiliary analysis method, system and terminal.

[0006] In a first aspect, the present invention provides a legal consultation auxiliary analysis method, which adopts the following technical solution: A legal consulting auxiliary analysis method, comprising: Obtain user consultation input information; Determine consultation type information and consultation question information based on user consultation input information; According to the correspondence between the consultation type information and the preset reply template information, the reply template information corresponding to the consultation type information is determined; Determine consultation result information according to consultation type information and consultation question information; Retrieve the consulting user account based on the user consulting input information; The reply output information is determined based on the consultation result information and the reply template information, and the reply output information is output to the consultation user account.

[0007] Optionally, the method for determining the consultation result information includes: Retrieve historical question information of a category based on the consultation category information; Determine whether the consultation question information is consistent with the category history question information; If yes, the historical question information of the same type as the consulting question information is used as the question information of the same type; According to the correspondence between the type-consistent question information and the preset type-consistent result information, the type-consistent result information corresponding to the type-consistent question information is determined, and the type-consistent result information is used as the consultation result information; If not, then according to the correspondence between the consultation type information and the preset type case information, the type case information corresponding to the consultation type information is determined; The case reasoning result information is determined according to the consulting question information and the type case information, and the case reasoning result information is used as the consulting result information.

[0008] Optionally, a method for determining case-based reasoning result information includes: Retrieve case problem information based on type case information; Determine the problem overlap rate based on the consulting problem information and case problem information; Determine whether there is a problem overlap rate greater than a preset problem benchmark overlap rate; If yes, the problem overlap rate greater than the problem benchmark overlap rate is used as the selected overlap rate, and the case problem information corresponding to the selected overlap rate is used as the selected case problem information; According to the correspondence between the selected case question information and the preset selected case result information, the selected case result information corresponding to the selected case question information is determined; Determine the comprehensive result information of the selected cases according to the selected coincidence rate and the selected case result information, and use the comprehensive result information of the selected cases as the case reasoning result information; If not, then the largest problem overlap rate is selected as the maximum problem overlap rate, and the case problem information corresponding to the maximum problem overlap rate is used as the maximum overlap problem information; Analyze the deviation between the consulting question information and the maximum overlap question information and use it as the question deviation information; The maximum overlap result information is determined according to the problem deviation information and the maximum overlap problem information, and the maximum overlap result information is used as the case reasoning result information.

[0009] Optionally, the method for determining the problem overlap rate includes: Retrieve consulting question words and consulting word number values ​​based on consulting question information; Retrieving case question vocabulary based on case question information; Determine the initial consistent vocabulary based on the consistency between the consulting question vocabulary and the case question vocabulary, and take the consulting question vocabulary other than the initial consistent vocabulary as the remaining vocabulary; Determine similar words corresponding to the remaining words according to the correspondence between the remaining words and the preset similar words; Determine similar and consistent vocabulary based on the consistency between similar vocabulary and case question vocabulary; Based on the initial consistent vocabulary, it is combined with similar consistent vocabulary and used as comprehensive consistent vocabulary; Retrieve consistent comprehensive individual values ​​based on comprehensive consistent vocabulary; Calculate the quotient between the consistent comprehensive number value and the consultation vocabulary number value and use it as the consistent proportion value; According to the corresponding relationship between the consistent proportion value and the preset consistent overlap rate, the consistent overlap rate corresponding to the consistent proportion value is determined, and the consistent overlap rate is used as the problem overlap rate.

[0010] Optionally, a method for determining the maximum overlap result information includes: According to the correspondence between the maximum overlap problem information and the preset maximum overlap initial result information, the maximum overlap initial result information corresponding to the maximum overlap problem information is determined; Retrieving deviation words and deviation word positions based on the problem deviation information; According to the correspondence between the deviation word position and the preset deviation position influence value, the deviation position influence value corresponding to the deviation word position is determined; Determine vocabulary deviation adjustment information according to the deviation position impact value and the deviation vocabulary; The maximum overlap initial result information is adjusted based on the vocabulary deviation adjustment information and used as the maximum overlap result information.

[0011] Optionally, a method for determining vocabulary deviation adjustment information includes: Retrieve the types of lexical deviation based on the deviant vocabulary; According to the correspondence between the vocabulary deviation type and the preset position type benchmark influence value, the position type benchmark influence value corresponding to the vocabulary deviation type is determined; According to the correspondence between the deviation vocabulary and the preset vocabulary deviation benchmark adjustment information, the vocabulary deviation benchmark adjustment information corresponding to the deviation vocabulary is determined; Determine whether the deviation position impact value is greater than the position type benchmark impact value; If yes, the difference between the deviation position impact value and the position type reference impact value is calculated and used as the position impact deviation value; Determine the influence deviation adjustment information corresponding to the position influence deviation value according to the correspondence between the position influence deviation value and the preset influence deviation adjustment information, and combine the influence deviation adjustment information with the vocabulary deviation reference adjustment information as the vocabulary deviation adjustment information; If not, the vocabulary deviation reference adjustment information is used as the vocabulary deviation adjustment information.

[0012] Optionally, the method further includes the following steps after outputting the reply output information to the consulting user account: Obtain user feedback information; Retrieve feedback evaluation parameter values ​​and feedback suggestion information based on user feedback information; According to the correspondence between the feedback suggestion information and the preset suggestion adjustment information, the suggestion adjustment information corresponding to the feedback suggestion information is determined; Determine evaluation adjustment information based on feedback evaluation parameter values ​​and feedback suggestion information; The evaluation adjustment information is combined with the suggested adjustment information to form comprehensive adjustment information, and the comprehensive adjustment information is added to the case reasoning result information to make adjustments to form new case reasoning result information, and the updated case reasoning result information is used as the consultation result information.

[0013] Optionally, a method for determining the evaluation adjustment information includes: Retrieving feedback suggestion word value and suggestion meaning information based on feedback suggestion information; According to the correspondence between the suggested meaning information and the preset meaning reference parameter value, the meaning reference parameter value corresponding to the suggested meaning information is determined; According to the correspondence between the feedback suggested word value and the preset word count impact value, the word count impact value corresponding to the feedback suggested word value is determined; Calculate the product value between the meaning benchmark parameter value and the word count impact value and use it as the evaluation benchmark parameter value; Determine whether the feedback evaluation parameter value is greater than the evaluation benchmark parameter value; If yes, the difference between the feedback evaluation parameter value and the evaluation reference parameter value is calculated and used as the evaluation parameter deviation value; According to the correspondence between the evaluation parameter deviation value and the preset parameter deviation adjustment information, the parameter deviation adjustment information corresponding to the evaluation parameter deviation value is determined, and the parameter deviation adjustment information is used as the evaluation adjustment information; If not, the preset evaluation reference adjustment information is output as the evaluation adjustment information.

[0014] In a second aspect, the present invention provides a legal consultation auxiliary analysis system, which adopts the following technical solution: A legal consultation auxiliary analysis system, comprising: The acquisition module is used to obtain user consultation input information and user feedback information; A memory for storing a program of the legal consultation auxiliary analysis method as described in any one of the first aspects; The processor loads and executes the program in the memory.

[0015] In a third aspect, the present invention provides an intelligent terminal, which adopts the following technical solution: An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the legal consultation auxiliary analysis method as described in any one of the first aspects.

[0016] In summary, the present invention includes at least one of the following beneficial technical effects: 1. Obtaining and determining the consultation type information and consultation question information from the user's consultation input information, and then determining the reply template information through the consultation type information query, determining the consultation result information through the consultation type information and consultation question information, determining the reply output information through the consultation result information and the reply template information, and outputting the reply output information to the consultation user account, so that ordinary users can input the legal issues to be consulted and obtain the consultation results through analysis, thereby reducing the user's waiting time and the consultation fees that the user needs to spend, and facilitating the general public to obtain legal consultation services; 2. Retrieve the category historical question information through the consultation category information, and judge whether the consultation question information is consistent with the category historical question information. When there is consistency, define the category consistent question information and query to determine the category consistent result information as the consultation result information. When there is inconsistency, query to determine the category case information through the consultation category information, and then determine the case reasoning result information through the consultation question information and the category case information and use it as the consultation result information, thereby improving the accuracy of the obtained consultation result information; 3. Retrieve feedback evaluation parameter values ​​and feedback suggestion information through user feedback information, and analyze them separately to obtain evaluation adjustment information and suggestion adjustment information, which are then combined to form comprehensive adjustment information and added to the case reasoning result information for adjustment to form new case reasoning result information, and then use the updated case reasoning result information as consulting result information, so as to make adjustments based on user usage and improve the accuracy of consulting results provided to the general public in subsequent legal consulting services. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of a method for assisting analysis of legal consultation according to an embodiment of the present application; Figure 2 is a flow chart of a method for determining consultation result information of an embodiment of the present application; Figure 3 is a flow chart of a method for determining case reasoning result information in an embodiment of the present application; Figure 4 is a flow chart of a method for determining a problem overlap rate according to an embodiment of the present application; Figure 5 is a flow chart of a method for determining maximum overlap result information in an embodiment of the present application; Figure 6is a flow chart of a method for determining vocabulary deviation adjustment information according to an embodiment of the present application; Figure 7 It is a method flow chart of an embodiment of the present application, which is located after the reply output information is output to the consulting user account. DETAILED DESCRIPTION

[0018] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0019] A legal consultation auxiliary analysis method obtains user consultation input information and user feedback information, analyzes the user's input to give a reply, and adjusts the subsequent analysis based on the feedback after the reply, so that ordinary users can input the legal issues they need to consult and obtain consultation results through analysis, thereby reducing the user's waiting time and the consultation fees that the user needs to pay, making it convenient for the general public to obtain legal consultation services.

[0020] Reference Figure 1 The embodiment of the present invention discloses a legal consultation auxiliary analysis method, which includes: Step S100: Obtain user consultation input information.

[0021] Among them, user consultation input information refers to the information input by ordinary users when they need legal consultation. The user consultation input information is obtained by ordinary users after logging in through a preset user login module and then through a preset legal consultation module. The user login module is used for users to log in to their accounts, and the legal consultation module is used for users who have accurately logged in to their accounts to input the content of the consultation.

[0022] Step S101: determining consultation type information and consultation question information according to user consultation input information.

[0023] Among them, the consulting question information refers to the question information corresponding to the legal consultation required by ordinary users, and the consulting category information refers to the category information of the question required by ordinary users for legal consultation. The user's consulting input information is parsed and refined through natural language processing technology to obtain the question corresponding to the user's input content as the consulting question information, and the category of the consulting question information is used as the consulting category information for subsequent use.

[0024] Step S102: Determine the reply template information corresponding to the consultation type information according to the correspondence between the consultation type information and the preset reply template information.

[0025] Among them, the reply template information refers to the template information corresponding to the reply to the user's consultation content. Different consultation type information corresponds to different reply template information. The reply template information is analyzed and obtained through a preset template automatic generation module. The template automatic generation module stores a database of different consultation type information and corresponding reply template information, which is obtained after pre-input. Consultation type information includes lawyer letter types and complaint types, and reply template information includes lawyer letter reply templates and complaint reply templates. By inputting the consultation type information into the template automatic generation module to query and determine the corresponding reply template information, it is convenient for subsequent use.

[0026] Step S103: Determine consultation result information according to the consultation type information and the consultation question information.

[0027] The consultation result information refers to the result information corresponding to the reply to the content of the user's consultation. The consultation result information is determined by analyzing the consultation type information and the consultation question information, which is convenient for subsequent use. The consultation result information can be obtained by inputting the consultation type information and the consultation question information into a preset reply neural network model. The reply neural network model is obtained by the operator inputting different consultation type information and consultation question information into the neural network model for training in advance. The steps for determining the consultation result information can also refer to steps S200 to S205.

[0028] Step S104: Retrieve the consulting user account based on the user consultation input information.

[0029] Among them, the consulting user account refers to the account corresponding to the user who conducts the consultation. The account corresponding to the user who inputs the content is retrieved through the user consultation input information and used as the consulting user account to facilitate subsequent use.

[0030] Step S105: Determine the reply output information according to the consultation result information and the reply template information, and output the reply output information to the consultation user account.

[0031] Among them, the reply output information refers to the information output in response to the content of the user's consultation. The reply output information is obtained by automatically filling the consultation result information into the template corresponding to the reply template information, and the reply output information is output to the consulting user account, so that ordinary users can get a reply to the consultation content after entering the content they need to consult, so there is no need to make an appointment and wait for a professional lawyer, which reduces the user's waiting time and reduces the consultation fees that the user needs to pay, making it convenient for the general public to obtain legal consultation services.

[0032] exist Figure 1In step S103, in order to further ensure the rationality of the consultation result information, it is necessary to further analyze and calculate the consultation result information separately, specifically by Figure 2 The steps shown are explained in detail.

[0033] Reference Figure 2 , the method for determining the consultation result information includes the following steps: Step S200: Retrieve historical question information of a category based on the consultation category information.

[0034] Among them, the category historical question information refers to the question information corresponding to the category of the consulting question in historical time. The questions corresponding to the consulting category information in historical time are retrieved through the consulting category information and used as the category historical question information to facilitate subsequent use.

[0035] Step S201: Determine whether the consulting question information is consistent with the category history question information. If yes, execute step S202; if no, execute step S204.

[0036] Among them, by judging whether there is consistency between the consultation question information and the type of historical question information, it is judged whether the answer of the historical time can be used directly.

[0037] Step S202: The historical question information of the same type as the consulting question information is used as the question information of the same type.

[0038] Among them, the type-consistent question information refers to the question information in the historical time that is consistent with the question corresponding to the consulting question information. When the consulting question information is consistent with the type-historical question information, it means that the answer in the historical time can be directly used at this time. Therefore, by using the type-historical question information that is consistent with the consulting question information as the type-consistent question information, it is convenient for subsequent use.

[0039] Step S203: Determine the type-consistent result information corresponding to the type-consistent question information according to the correspondence between the type-consistent question information and the preset type-consistent result information, and use the type-consistent result information as the consultation result information.

[0040] The type-consistent result information refers to the result information corresponding to the question that is consistent with the consulting question information in the historical time. Different type-consistent question information corresponds to different type-consistent result information. The type-consistent result information is obtained by querying from a database storing different type-consistent question information and the corresponding type-consistent result information. The database is obtained after pre-input. The type-consistent result information is determined by querying the type-consistent question information, and the type-consistent result information is used as the consulting result information, thereby improving the accuracy and efficiency of the consulting result information obtained.

[0041] Step S204: Determine the type case information corresponding to the consultation type information according to the correspondence between the consultation type information and the preset type case information.

[0042] Among them, the category case information refers to the typical legal case information corresponding to the category of the consulting question. Different consulting category information corresponds to different category case information. The category case information is obtained by querying from a database storing different consulting category information and corresponding category case information. The database is obtained after pre-input. When the consulting question information and the category historical question information are not consistent, it means that the historical time answer cannot be used directly at this time. Therefore, the category case information is determined by querying the consulting category information to facilitate subsequent use.

[0043] Step S205: Determine case reasoning result information according to the consulting question information and the type case information, and use the case reasoning result information as the consulting result information.

[0044] The case reasoning result information refers to the result information obtained after reasoning based on typical legal cases. The case reasoning result information is determined by analyzing the consulting question information and the type case information, and the case reasoning result information is used as the consulting result information to improve the accuracy of the consulting result information obtained. The specific steps for determining the case reasoning result information refer to steps S300 to S308.

[0045] exist Figure 2 In step S205, in order to further ensure the rationality of the case-based reasoning result information, it is necessary to further analyze and calculate the case-based reasoning result information separately, specifically by Figure 3 The steps shown are explained in detail.

[0046] Reference Figure 3 ,The method for determining case-based reasoning result information includes the following steps: Step S300: Retrieve case problem information based on type case information.

[0047] The case problem information refers to the problem information corresponding to the case. The corresponding problem in the type case information is retrieved and used as the case problem information to facilitate subsequent use.

[0048] Step S301: Determine the problem overlap rate based on the consultation question information and the case question information.

[0049] The problem overlap rate refers to the overlap rate between the consultation questions and the questions in the case. The problem overlap rate is determined by analyzing the consultation question information and the case question information. The specific steps for determining the problem overlap rate refer to steps S400 to S408.

[0050] Step S302: Determine whether there is a problem overlap rate greater than a preset problem reference overlap rate. If yes, execute step S303; if no, execute step S306.

[0051] The problem benchmark coincidence rate refers to the minimum coincidence rate corresponding to the case selection, and the problem benchmark coincidence rate is obtained after pre-input. It is judged whether there is a problem coincidence rate greater than the preset problem benchmark coincidence rate in the problem coincidence rate to determine whether the result of the case can be adopted.

[0052] Step S303: The problem overlap rate that is greater than the problem benchmark overlap rate is used as the selected overlap rate, and the case problem information corresponding to the selected overlap rate is used as the selected case problem information.

[0053] Among them, the selected coincidence rate refers to the coincidence rate after the problem coincidence rate is selected, and the selected case problem information refers to the problem information corresponding to the selected case. When the problem coincidence rate is greater than the preset problem benchmark coincidence rate, it means that the result of the case can be used at this time, so the selected coincidence rate and the selected case problem information are defined separately for subsequent use.

[0054] Step S304: determining the selected case result information corresponding to the selected case question information according to the correspondence between the selected case question information and the preset selected case result information.

[0055] The selected case result information refers to the result information corresponding to the question of a single selected case. Different selected case question information corresponds to different selected case result information. The selected case result information is obtained by querying from a database storing different selected case question information and corresponding selected case result information. The database is obtained after pre-input. The selected case result information is determined by querying the selected case question information to facilitate subsequent use.

[0056] Step S305: Determine the comprehensive result information of the selected cases according to the selected overlap rate and the selected case result information, and use the comprehensive result information of the selected cases as the case reasoning result information.

[0057] Among them, the comprehensive result information of the selected cases refers to the result information after the results corresponding to the questions of all the selected cases are integrated. By analyzing the selection overlap rate and the selected case result information, the selected case result information corresponding to each selection overlap rate is integrated in proportion according to the sorting result from large to small of the selection overlap rate, so as to determine the comprehensive result information of the selected cases, and the comprehensive result information of the selected cases is used as the case reasoning result information, so as to improve the accuracy of the obtained case reasoning result information.

[0058] Step S306: Select the largest problem overlap rate as the maximum problem overlap rate, and use the case problem information corresponding to the maximum problem overlap rate as the maximum overlap problem information.

[0059] Among them, the maximum problem overlap rate refers to the maximum overlap rate among the problem overlap rates, and the maximum overlap problem information refers to the problem information corresponding to the maximum problem overlap rate. When there is no problem overlap rate greater than the preset problem benchmark overlap rate among the problem overlap rates, it means that the result of the case cannot be used at this time, so the maximum problem overlap rate and the maximum overlap problem information are defined for subsequent use.

[0060] Step S307: Analyze the deviation between the consulting question information and the maximum overlap question information and use it as question deviation information.

[0061] Among them, the problem deviation information refers to the deviation information corresponding to the existence of a deviation in the problem. By analyzing the deviation between the consulting question information and the maximum overlap question information and using it as the problem deviation information, it is convenient for subsequent use.

[0062] Step S308: Determine the maximum overlap result information according to the problem deviation information and the maximum overlap problem information, and use the maximum overlap result information as the case reasoning result information.

[0063] The maximum overlap result information refers to the result information after reasoning based on the problem corresponding to the maximum problem overlap rate. The maximum overlap result information is determined by analyzing the problem deviation information and the maximum overlap problem information, and the maximum overlap result information is used as the case reasoning result information to improve the accuracy of the obtained case reasoning result information. The specific steps for determining the maximum overlap result information refer to steps S500 to S504.

[0064] exist Figure 3 In step S301, in order to further ensure the rationality of the problem overlap rate, it is necessary to further analyze and calculate the problem overlap rate separately, specifically by Figure 4 The steps shown are explained in detail.

[0065] Reference Figure 4 , the method for determining the problem overlap rate includes the following steps: Step S400: Retrieve consulting question words and consulting word number values ​​based on consulting question information.

[0066] The consulting question vocabulary refers to the vocabulary corresponding to the consulting question, and the consulting vocabulary number value refers to the number value corresponding to the consulting question vocabulary. The vocabulary corresponding to the question is retrieved through the consulting question information and used as the consulting question vocabulary, and the number of retrieved vocabulary is counted, and the counting result is used as the consulting vocabulary number value for subsequent use.

[0067] Step S401: Retrieve case question vocabulary based on case question information.

[0068] Among them, the case problem vocabulary refers to the vocabulary corresponding to the case problem. The vocabulary in the case problem is retrieved through the case problem information and used as the case problem vocabulary to facilitate subsequent use.

[0069] Step S402: determining initial consistent vocabulary based on the consistency between the consulting question vocabulary and the case question vocabulary, and treating the consulting question vocabulary other than the initial consistent vocabulary as the remaining vocabulary.

[0070] Among them, the initial consistent vocabulary refers to the vocabulary corresponding to the initial consistency between the consulting question vocabulary and the case question vocabulary, and the remaining vocabulary refers to the vocabulary corresponding to the initial non-consistency between the consulting question vocabulary and the case question vocabulary. By analyzing the consistency between the consulting question vocabulary and the case question vocabulary, and taking the consistent vocabulary as the initial consistent vocabulary, and taking the consulting question vocabulary other than the initial consistent vocabulary as the remaining vocabulary, it is convenient for subsequent use.

[0071] Step S403: Determine similar words corresponding to the remaining words according to the correspondence between the remaining words and the preset similar words.

[0072] Among them, similar words refer to words with similar meanings to the remaining words, and different remaining words correspond to different similar words. Similar words are obtained by querying from a database storing different remaining words and corresponding similar words, and the database is obtained after pre-input. Determining similar words through the remaining word query is convenient for subsequent use.

[0073] Step S404: Determine similar and consistent vocabulary based on the consistency between similar vocabulary and case question vocabulary.

[0074] Among them, similar consistent vocabulary refers to the vocabulary that corresponds to when there is consistency between similar vocabulary and case problem vocabulary. The consistency between similar vocabulary and case problem vocabulary is analyzed, and the vocabulary that corresponds to the consistency is used as similar consistent vocabulary to facilitate subsequent use.

[0075] Step S405: combining the initial consistent vocabulary with similar consistent vocabulary as a comprehensive consistent vocabulary.

[0076] Among them, the comprehensive consistent vocabulary refers to the comprehensive vocabulary corresponding to the existence of consistency. By combining the initial consistent vocabulary with the similar consistent vocabulary and using them as comprehensive consistent vocabulary, it is convenient for subsequent use.

[0077] Step S406: Retrieve consistent comprehensive individual values ​​based on the comprehensive consistent vocabulary.

[0078] The consistent comprehensive number value refers to the number value corresponding to the comprehensive consistent vocabulary. The number of comprehensive consistent vocabulary is counted and the counting result is retrieved as the consistent comprehensive number value for subsequent use.

[0079] Step S407: Calculate the quotient between the consistent comprehensive number value and the consultation vocabulary number value and use it as the consistent ratio value.

[0080] Among them, the consistent proportion value refers to the proportion of the number of words when there is consistency to the total number of words. The quotient between the consistent comprehensive number value and the consultation word number value is calculated and used as the consistent proportion value to facilitate subsequent use.

[0081] Step S408: According to the correspondence between the consistent proportion value and the preset consistent overlap rate, the consistent overlap rate corresponding to the consistent proportion value is determined, and the consistent overlap rate is used as the problem overlap rate.

[0082] The consistent overlap rate refers to the percentage of words in the total vocabulary when there is consistency. Different consistent percentage values ​​correspond to different consistent overlap rates. The consistent overlap rate is obtained by querying from a database storing different consistent percentage values ​​corresponding to different consistent overlap rates. The database is obtained after pre-input. The consistent overlap rate is determined by querying the consistent percentage value, and the consistent overlap rate is used as the problem overlap rate to improve the accuracy of the obtained problem overlap rate.

[0083] exist Figure 3 In step S308, in order to further ensure the rationality of the maximum overlap result information, it is necessary to further analyze and calculate the maximum overlap result information separately, specifically by Figure 5 The steps shown are explained in detail.

[0084] Reference Figure 5 , the method for determining the maximum overlap result information includes the following steps: Step S500: Determine the maximum overlap initial result information corresponding to the maximum overlap problem information according to the correspondence between the maximum overlap problem information and the preset maximum overlap initial result information.

[0085] Among them, the maximum overlap initial result information refers to the initial result information corresponding to the maximum overlap rate, and different maximum overlap problem information corresponds to different maximum overlap initial result information. The maximum overlap initial result information is obtained by querying from a database storing different maximum overlap problem information and corresponding maximum overlap initial result information, and the database is obtained after pre-input. The maximum overlap initial result information is determined by querying the maximum overlap problem information, which is convenient for subsequent use.

[0086] Step S501: retrieve deviation words and deviation word positions based on question deviation information.

[0087] Among them, the deviation word refers to the word corresponding to the problem when there is a deviation, and the deviation word position refers to the position of the word when there is a deviation in the problem. The deviation word and the deviation word position are retrieved through the problem deviation information to facilitate subsequent use.

[0088] Step S502: determining the deviation position influence value corresponding to the deviation word position according to the correspondence between the deviation word position and the preset deviation position influence value.

[0089] The deviation position impact value refers to the impact value of the deviation vocabulary. Different deviation vocabulary positions correspond to different deviation position impact values. The deviation position impact value is obtained by querying from a database storing different deviation vocabulary positions and corresponding deviation position impact values. The database is obtained after pre-input. The deviation position impact value is determined by querying the deviation vocabulary position to facilitate subsequent use.

[0090] Step S503: determining vocabulary deviation adjustment information according to the deviation position influence value and the deviation vocabulary.

[0091] The vocabulary deviation adjustment information refers to the information for adjusting the result according to the deviation vocabulary. The vocabulary deviation adjustment information is determined by analyzing the deviation position influence value and the deviation vocabulary, so as to facilitate subsequent use. The specific steps for determining the vocabulary deviation adjustment information refer to steps S600 to S606.

[0092] Step S504: adjusting the maximum overlap initial result information based on the vocabulary deviation adjustment information and using the maximum overlap result information as the maximum overlap result information.

[0093] The maximum overlap initial result information is adjusted by adjusting the vocabulary deviation information, and the adjusted result is used as the maximum overlap result information, thereby improving the accuracy of the obtained maximum overlap result information.

[0094] exist Figure 5 In step S503, in order to further ensure the rationality of the vocabulary deviation adjustment information, it is necessary to further analyze and calculate the vocabulary deviation adjustment information separately, specifically by Figure 6 The steps shown are explained in detail.

[0095] Reference Figure 6 , the method for determining vocabulary deviation adjustment information includes the following steps: Step S600: Retrieving vocabulary deviation categories based on deviation vocabulary.

[0096] The vocabulary deviation type refers to the type corresponding to the deviated vocabulary. By retrieving the type to which the deviated vocabulary belongs and using it as the vocabulary deviation type, subsequent use is facilitated.

[0097] Step S601: determining a position type benchmark influence value corresponding to the vocabulary deviation type according to a correspondence between the vocabulary deviation type and a preset position type benchmark influence value.

[0098] Among them, the position type benchmark impact value refers to the benchmark impact degree value of the position generated by the vocabulary deviation type. Different vocabulary deviation types correspond to different position type benchmark impact values. The position type benchmark impact value is obtained by querying from a database storing different vocabulary deviation types and corresponding position type benchmark impact values. The database is obtained after pre-input. The position type benchmark impact value is determined by querying the vocabulary deviation type to facilitate subsequent use.

[0099] Step S602: Determine vocabulary deviation reference adjustment information corresponding to the deviation vocabulary according to the correspondence between the deviation vocabulary and the preset vocabulary deviation reference adjustment information.

[0100] The vocabulary deviation benchmark adjustment information refers to the benchmark adjustment information when adjusting according to the deviation vocabulary. Different deviation vocabulary corresponds to different vocabulary deviation benchmark adjustment information. The vocabulary deviation benchmark adjustment information is obtained by querying from a database storing different deviation vocabulary and the corresponding vocabulary deviation benchmark adjustment information. The database is obtained after pre-input. The vocabulary deviation benchmark adjustment information is determined by querying the deviation vocabulary, which is convenient for subsequent use.

[0101] Step S603: Determine whether the deviation position influence value is greater than the position type reference influence value. If yes, execute step S604; if no, execute step S606.

[0102] Among them, whether the deviation position will affect the adjustment is determined by judging whether the deviation position impact value is greater than the position type reference impact value.

[0103] Step S604: Calculate the difference between the deviation position impact value and the position type reference impact value and use it as the position impact deviation value.

[0104] Among them, the position impact deviation value refers to the deviation value corresponding to the deviation of the impact degree of the position. When the deviation position impact value is greater than the position type benchmark impact value, it means that the deviation position will affect the adjustment at this time. Therefore, the difference between the deviation position impact value and the position type benchmark impact value is calculated and used as the position impact deviation value for subsequent use.

[0105] Step S605: determining the influence deviation adjustment information corresponding to the position influence deviation value according to the correspondence between the position influence deviation value and the preset influence deviation adjustment information, and combining the influence deviation adjustment information with the vocabulary deviation benchmark adjustment information as the vocabulary deviation adjustment information.

[0106] The influence deviation adjustment information refers to the adjustment information adjusted according to the position influence deviation value, and different position influence deviation values ​​correspond to different influence deviation adjustment information. The influence deviation adjustment information is obtained by querying from a database storing different position influence deviation values ​​and corresponding influence deviation adjustment information, and the database is obtained after pre-input. The influence deviation adjustment information is obtained by querying the position influence deviation value, and the influence deviation adjustment information is combined with the vocabulary deviation benchmark adjustment information as the vocabulary deviation adjustment information, thereby improving the accuracy of the obtained vocabulary deviation adjustment information.

[0107] Step S606: Using the vocabulary deviation reference adjustment information as vocabulary deviation adjustment information.

[0108] Among them, when the deviation position impact value is not greater than the position type benchmark impact value, it means that the deviation position will not affect the adjustment at this time, so the vocabulary deviation benchmark adjustment information is used as the vocabulary deviation adjustment information, thereby improving the accuracy of the obtained vocabulary deviation adjustment information.

[0109] exist Figure 1 After step S105, in order to further ensure the rationality of outputting the reply output information to the consulting user account, it is necessary to perform further separate analysis and calculation on the output of the reply output information to the consulting user account. Figure 7 The steps shown are explained in detail.

[0110] Reference Figure 7 , further comprising the following steps after outputting the reply output information to the consulting user account: Step S700: Obtain user feedback information.

[0111] Among them, user feedback information refers to the evaluation parameters and suggestions provided by the user after the consultation is completed. The user feedback information is obtained through a preset feedback module, which allows users to provide feedback and collect user feedback information.

[0112] Step S701: Retrieve feedback evaluation parameter values ​​and feedback suggestion information based on user feedback information.

[0113] Among them, user feedback information includes feedback evaluation parameter values ​​and feedback suggestion information. Feedback evaluation parameter values ​​refer to evaluation parameter values ​​fed back by users after consultation, and feedback suggestion information refers to suggestion information fed back by users after consultation. Feedback evaluation parameter values ​​and feedback suggestion information are retrieved through user feedback information for subsequent use.

[0114] Step S702: determining suggested adjustment information corresponding to the feedback suggested information according to the correspondence between the feedback suggested information and the preset suggested adjustment information.

[0115] The suggested adjustment information refers to the adjustment information adjusted according to the suggestion. Different feedback suggestion information corresponds to different suggested adjustment information. The suggested adjustment information is obtained by querying from a database storing different feedback suggestion information and corresponding suggested adjustment information. The database is obtained after pre-input. The suggested adjustment information is determined by querying the feedback suggestion information to facilitate subsequent use.

[0116] Step S703: Determine evaluation adjustment information according to the feedback evaluation parameter value and the feedback suggestion information.

[0117] The evaluation adjustment information refers to the adjustment information adjusted according to the evaluation, and the evaluation adjustment information is determined by analyzing the feedback evaluation parameter value and the feedback suggestion information, so as to facilitate subsequent use. The specific steps for determining the evaluation adjustment information refer to steps S800 to S807.

[0118] Step S704: Combine the evaluation adjustment information with the suggestion adjustment information to form comprehensive adjustment information, add the comprehensive adjustment information to the case reasoning result information to adjust it to form new case reasoning result information, and then use the updated case reasoning result information as consultation result information.

[0119] Among them, comprehensive adjustment information refers to the comprehensive adjustment information corresponding to when adjustment is required. The evaluation adjustment information and the suggested adjustment information are combined to form the comprehensive adjustment information, and the comprehensive adjustment information is added to the case reasoning result information to adjust it to form new case reasoning result information. The updated case reasoning result information is then used as the consulting result information, so as to optimize the analysis in real time, thereby improving the accuracy of the consulting result information obtained when subsequent users consult.

[0120] exist Figure 7 In step S703 shown, in order to further ensure the rationality of the evaluation adjustment information, it is necessary to perform further separate analysis and calculation on the evaluation adjustment information, which is specifically described in detail through the following steps.

[0121] The method for determining the evaluation adjustment information includes the following steps: Step S800: Retrieve the feedback suggestion word value and suggestion meaning information based on the feedback suggestion information.

[0122] The word count of the feedback suggestion refers to the word count corresponding to the feedback suggestion, and the suggested meaning information refers to the meaning information corresponding to the feedback suggestion. The word count is retrieved through the feedback suggestion information and used as the word count of the feedback suggestion, and the meaning is retrieved through the feedback suggestion information and used as the suggested meaning information, which is convenient for subsequent use.

[0123] Step S801: Determine a meaning reference parameter value corresponding to the suggested meaning information according to a correspondence between the suggested meaning information and the preset meaning reference parameter value.

[0124] Among them, the meaning benchmark parameter value refers to the benchmark parameter value corresponding to the accuracy of the evaluation result based on the suggested meaning. Different suggested meaning information corresponds to different meaning benchmark parameter values, and the meaning benchmark parameter value is obtained by querying from a database storing different suggested meaning information and corresponding meaning benchmark parameter values, and the database is obtained after pre-input. For example, when the suggested meaning information is a positive suggestion, the preset positive benchmark parameter value is used as the meaning benchmark parameter value. When the suggested meaning information is a negative suggestion, the preset negative benchmark parameter value is used as the meaning benchmark parameter value. Both the positive benchmark parameter value and the negative benchmark parameter value are obtained after pre-input.

[0125] Step S802: determining a word count impact value corresponding to the feedback suggested word count value according to the correspondence between the feedback suggested word count value and the preset word count impact value.

[0126] The word count impact value refers to the impact degree value corresponding to the impact of the word count on the meaning reference parameter value. Different feedback suggestion word values ​​correspond to different word count impact values. The word count impact value is obtained by querying from a database storing different feedback suggestion word values ​​and corresponding word count impact values. The database is obtained after pre-input. The word count impact value is determined by querying the feedback suggestion word value to facilitate subsequent use.

[0127] Step S803: Calculate the product value between the meaning reference parameter value and the word count impact value and use it as the evaluation reference parameter value.

[0128] The evaluation benchmark parameter value refers to the parameter value after adjusting the meaning benchmark parameter value. The product value between the meaning benchmark parameter value and the word count impact value is calculated and used as the evaluation benchmark parameter value for convenience in subsequent use.

[0129] Step S804: Determine whether the feedback evaluation parameter value is greater than the evaluation reference parameter value. If yes, execute step S805; if no, execute step S807.

[0130] Among them, by judging whether the feedback evaluation parameter value is greater than the evaluation benchmark parameter value, it is judged whether it is necessary to make adjustments based on the combination of evaluation and suggestions.

[0131] Step S805: Calculate the difference between the feedback evaluation parameter value and the evaluation reference parameter value and use it as the evaluation parameter deviation value.

[0132] The evaluation parameter deviation value refers to the deviation value corresponding to the deviation of the evaluation parameter. When the feedback evaluation parameter value is greater than the evaluation benchmark parameter value, it means that it is necessary to make adjustments based on the evaluation and suggestions. Therefore, the difference between the feedback evaluation parameter value and the evaluation benchmark parameter value is calculated and used as the evaluation parameter deviation value for subsequent use.

[0133] Step S806: Determine the parameter deviation adjustment information corresponding to the evaluation parameter deviation value according to the correspondence between the evaluation parameter deviation value and the preset parameter deviation adjustment information, and use the parameter deviation adjustment information as the evaluation adjustment information.

[0134] The parameter deviation adjustment information refers to the adjustment information adjusted according to the evaluation parameter deviation value. Different evaluation parameter deviation values ​​correspond to different parameter deviation adjustment information. The parameter deviation adjustment information is obtained by querying from a database storing different evaluation parameter deviation values ​​and corresponding parameter deviation adjustment information. The database is obtained after pre-input. The parameter deviation adjustment information is determined by querying the evaluation parameter deviation value, and the parameter deviation adjustment information is used as the evaluation adjustment information, thereby improving the accuracy of the obtained evaluation adjustment information.

[0135] Step S807: outputting the preset evaluation criterion adjustment information as the evaluation adjustment information.

[0136] The evaluation benchmark adjustment information refers to the benchmark adjustment information adjusted separately according to the evaluation, and the evaluation benchmark adjustment information is obtained after pre-input. When the feedback evaluation parameter value is greater than the evaluation benchmark parameter value, it means that it is not necessary to adjust according to the combination of evaluation and suggestion at this time, so the preset evaluation benchmark adjustment information is output and used as the evaluation adjustment information, thereby improving the accuracy of the obtained evaluation adjustment information.

[0137] Based on the same inventive concept, an embodiment of the present invention provides a legal consultation auxiliary analysis system, including: The acquisition module is used to obtain user consultation input information and user feedback information; A memory for storing a program of the legal consultation auxiliary analysis method as described above; The processor loads and executes the program in the memory.

[0138] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the legal consultation auxiliary analysis method as described above.

[0139] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0140] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A legal consultation auxiliary analysis method, characterized in that: include: Obtain user consultation input information; Determine consultation type information and consultation question information based on user consultation input information; According to the correspondence between the consultation type information and the preset reply template information, the reply template information corresponding to the consultation type information is determined; Determine consultation result information according to consultation type information and consultation question information; Retrieve the consulting user account based on the user consulting input information; Determine the reply output information according to the consultation result information and the reply template information, and output the reply output information to the consultation user account; The methods for determining the consultation result information include: Retrieve historical question information of a category based on the consultation category information; Determine whether the consultation question information is consistent with the category history question information; If yes, the historical question information of the same type as the consulting question information is used as the question information of the same type; According to the correspondence between the type-consistent question information and the preset type-consistent result information, the type-consistent result information corresponding to the type-consistent question information is determined, and the type-consistent result information is used as the consultation result information; If not, then according to the correspondence between the consultation type information and the preset type case information, the type case information corresponding to the consultation type information is determined; Determine case reasoning result information according to the consulting question information and the type case information, and use the case reasoning result information as the consulting result information; Methods for determining case-based reasoning result information include: Retrieve case problem information based on type case information; Determine the problem overlap rate based on the consulting problem information and case problem information; Determine whether there is a problem overlap rate greater than a preset problem benchmark overlap rate; If yes, the problem overlap rate greater than the problem benchmark overlap rate is used as the selected overlap rate, and the case problem information corresponding to the selected overlap rate is used as the selected case problem information; According to the correspondence between the selected case question information and the preset selected case result information, the selected case result information corresponding to the selected case question information is determined; Determine the comprehensive result information of the selected cases according to the selected coincidence rate and the selected case result information, and use the comprehensive result information of the selected cases as the case reasoning result information; If not, then the largest problem overlap rate is selected as the maximum problem overlap rate, and the case problem information corresponding to the maximum problem overlap rate is used as the maximum overlap problem information; Analyze the deviation between the consulting question information and the maximum overlap question information and use it as the question deviation information; The maximum overlap result information is determined according to the problem deviation information and the maximum overlap problem information, and the maximum overlap result information is used as the case reasoning result information.

2. The legal consultation auxiliary analysis method according to claim 1 is characterized in that: Methods for determining the problem overlap rate include: Retrieve consulting question words and consulting word number values ​​based on consulting question information; Retrieving case question vocabulary based on case question information; Determine the initial consistent vocabulary based on the consistency between the consulting question vocabulary and the case question vocabulary, and take the consulting question vocabulary other than the initial consistent vocabulary as the remaining vocabulary; Determine similar words corresponding to the remaining words according to the correspondence between the remaining words and the preset similar words; Determine similar and consistent vocabulary based on the consistency between similar vocabulary and case question vocabulary; Based on the initial consistent vocabulary, it is combined with similar consistent vocabulary and used as comprehensive consistent vocabulary; Retrieve consistent comprehensive individual values ​​based on comprehensive consistent vocabulary; Calculate the quotient between the consistent comprehensive number value and the consultation vocabulary number value and use it as the consistent proportion value; According to the corresponding relationship between the consistent proportion value and the preset consistent overlap rate, the consistent overlap rate corresponding to the consistent proportion value is determined, and the consistent overlap rate is used as the problem overlap rate.

3. The legal consultation auxiliary analysis method according to claim 1 is characterized in that: The method for determining the maximum overlap result information includes: According to the correspondence between the maximum overlap problem information and the preset maximum overlap initial result information, the maximum overlap initial result information corresponding to the maximum overlap problem information is determined; Retrieving deviation words and deviation word positions based on the problem deviation information; According to the correspondence between the deviation word position and the preset deviation position influence value, the deviation position influence value corresponding to the deviation word position is determined; Determine vocabulary deviation adjustment information according to the deviation position impact value and the deviation vocabulary; The maximum overlap initial result information is adjusted based on the vocabulary deviation adjustment information and used as the maximum overlap result information.

4. The legal consultation auxiliary analysis method according to claim 3 is characterized in that: The method for determining the vocabulary bias adjustment information includes: Retrieve the types of lexical deviation based on the deviant vocabulary; According to the correspondence between the vocabulary deviation type and the preset position type benchmark influence value, the position type benchmark influence value corresponding to the vocabulary deviation type is determined; According to the correspondence between the deviation vocabulary and the preset vocabulary deviation benchmark adjustment information, the vocabulary deviation benchmark adjustment information corresponding to the deviation vocabulary is determined; Determine whether the deviation position impact value is greater than the position type benchmark impact value; If yes, the difference between the deviation position impact value and the position type reference impact value is calculated and used as the position impact deviation value; Determine the influence deviation adjustment information corresponding to the position influence deviation value according to the correspondence between the position influence deviation value and the preset influence deviation adjustment information, and combine the influence deviation adjustment information with the vocabulary deviation reference adjustment information as the vocabulary deviation adjustment information; If not, the vocabulary deviation reference adjustment information is used as the vocabulary deviation adjustment information.

5. The legal consultation auxiliary analysis method according to claim 1 is characterized in that: The step of outputting the answer output information to the consulting user account is also included: Obtain user feedback information; Retrieve feedback evaluation parameter values ​​and feedback suggestion information based on user feedback information; According to the correspondence between the feedback suggestion information and the preset suggestion adjustment information, the suggestion adjustment information corresponding to the feedback suggestion information is determined; Determine evaluation adjustment information based on feedback evaluation parameter values ​​and feedback suggestion information; The evaluation adjustment information is combined with the suggested adjustment information to form comprehensive adjustment information, and the comprehensive adjustment information is added to the case reasoning result information to make adjustments to form new case reasoning result information, and the updated case reasoning result information is used as the consultation result information.

6. The legal consultation auxiliary analysis method according to claim 5 is characterized in that: Methods for determining evaluation adjustment information include: Retrieving feedback suggestion word value and suggestion meaning information based on feedback suggestion information; According to the correspondence between the suggested meaning information and the preset meaning reference parameter value, the meaning reference parameter value corresponding to the suggested meaning information is determined; According to the correspondence between the feedback suggested word value and the preset word count impact value, the word count impact value corresponding to the feedback suggested word value is determined; Calculate the product value between the meaning benchmark parameter value and the word count impact value and use it as the evaluation benchmark parameter value; Determine whether the feedback evaluation parameter value is greater than the evaluation benchmark parameter value; If yes, the difference between the feedback evaluation parameter value and the evaluation reference parameter value is calculated and used as the evaluation parameter deviation value; According to the correspondence between the evaluation parameter deviation value and the preset parameter deviation adjustment information, the parameter deviation adjustment information corresponding to the evaluation parameter deviation value is determined, and the parameter deviation adjustment information is used as the evaluation adjustment information; If not, the preset evaluation reference adjustment information is output as the evaluation adjustment information.

7. A legal consultation auxiliary analysis system, characterized in that: include: The acquisition module is used to obtain user consultation input information and user feedback information; A memory for storing a program of the legal consultation auxiliary analysis method according to any one of claims 1 to 6; The processor loads and executes the program in the memory.

8. An intelligent terminal, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the legal consultation auxiliary analysis method as described in any one of claims 1 to 6.

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