Financial information processing method, device and equipment based on security system

Abstract

The embodiment of the invention provides a financial information processing method, device and equipment based on a security system. Belongs to the technical field of data processing and big data. The method comprises the following steps: receiving a financial information monitoring instruction sent by an auditing terminal, wherein the financial information monitoring instruction comprises a monitoring target identifier; determining a data acquisition address according to the monitoring target identifier; financial information data in the data acquisition address are acquired; determining an importance degree score corresponding to the financial information data according to the financial information data and the data acquisition address; standardizing the financial information data to obtain to-be-input data; inputting the to-be-input data into the financial information processing model to obtain an analysis result output by the financial information processing model; generating a financial information chart corresponding to the analysis result and the importance degree score; and outputting an analysis result and a financial information chart. According to the method provided by the invention, the problem of low efficiency of manual financial information processing is solved.

Description

Technical Field

[0001] The present application relates to the field of data processing and big data technology, and in particular to a financial information processing method, device and equipment based on a securities system. Background Art

[0002] Data processing of financial information can help securities companies make more accurate decisions, thereby enabling them to provide users with accurate services and enhance their competitiveness.

[0003] Currently, in existing securities systems, analysis of financial information usually requires staff to manually enter data and perform data processing.

[0004] However, the inventors have discovered that the prior art has at least the following technical problems: manual financial information processing is inefficient. Summary of the invention

[0005] The embodiments of the present application provide a financial information processing method, device and equipment based on a securities system to solve the problem of low efficiency of manual financial information processing.

[0006] In a first aspect, an embodiment of the present application provides a financial information processing method based on a securities system, comprising:

[0007] Receive a financial information monitoring instruction sent by the audit terminal, wherein the financial information monitoring instruction includes a monitoring target identifier; determine a data collection address based on the monitoring target identifier; collect financial information data in the data collection address; determine an importance score corresponding to the financial information data based on the financial information data and the data collection address; standardize the financial information data to obtain data to be input; input the data to be input into a financial information processing model to obtain analysis results output by the financial information processing model; generate financial information charts corresponding to the analysis results and importance scores; and output the analysis results and financial information charts.

[0008] In a possible implementation, the data collection address is determined according to the monitoring target identifier, including: determining at least one corresponding keyword according to the monitoring target identifier, wherein the keyword corresponds to a keyword type; and writing the keyword into an address template corresponding to the keyword type to obtain the data collection address.

[0009] In one possible implementation, an importance score corresponding to the financial information data is determined based on the financial information data and the data collection address, including: determining a financial information score based on the financial information data; determining a source score based on the data collection address; and obtaining an importance score by weighted summation of the financial information score and the source score.

[0010] In one possible implementation, a financial information score is determined based on financial information data, including: counting the number of occurrences of a target field in the financial information data, where the target field can be any preset field; multiplying the number of occurrences by a weight value corresponding to the target field to obtain a field score corresponding to the target field; and adding the field scores corresponding to each preset field to obtain a financial information score.

[0011] In one possible implementation, a financial information score is determined based on financial information data, including: obtaining interactive behavior data corresponding to the financial information data; determining an interactive weight value based on the interactive behavior data; counting the number of times a target field appears in the financial information data to obtain the number of times the target field appears; counting the total number of words in the financial information data; dividing the number of times the target field appears by the total number of words in the financial information data to obtain the frequency of occurrence; based on the frequency of occurrence, finding the corresponding relationship between the frequency and the weight value to obtain the frequency weight value; and weighted summing the interactive weight value and the frequency weight value to obtain the financial information score.

[0012] In one possible implementation, the interaction behavior data includes the number of interactions corresponding to each type of interaction behavior; accordingly, the interaction weight value is determined based on the interaction behavior data, including: determining the weight value corresponding to the target type interaction behavior based on the number of interaction behaviors corresponding to the target type interaction behavior; and weighted summing the weight values ​​corresponding to each type of interaction behavior to obtain the interaction weight value.

[0013] In a second aspect, the present application provides a financial information processing device based on a securities system, comprising: an instruction receiving module, used to receive a financial information monitoring instruction sent by an audit terminal, wherein the financial information monitoring instruction includes a monitoring target identifier; an address determination module, used to determine a data collection address according to the monitoring target identifier; a data collection module, used to collect financial information data in the data collection address; a score determination module, used to determine the importance score corresponding to the financial information data according to the financial information data and the data collection address; a data acquisition module, used to standardize the financial information data to obtain the data to be input; a result acquisition module, used to input the data to be input into a financial information processing model to obtain the analysis results output by the financial information processing model; a chart generation module, used to generate financial information charts corresponding to the analysis results and the importance scores; a data output module, used to output the analysis results and financial information charts.

[0014] In the third aspect, an embodiment of the present disclosure provides an electronic device, comprising: a processor and a memory; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory, so that at least one processor executes the financial information processing method based on the securities system as described in the first aspect above and various possible designs of the first aspect.

[0015] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the financial information processing method based on the securities system as described in the first aspect and various possible designs of the first aspect is implemented.

[0016] In a fifth aspect, an embodiment of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the financial information processing method based on a securities system as described in the first aspect and various possible designs of the first aspect.

[0017] The financial information processing method, device and equipment based on the securities system provided in the present application, by receiving the financial information monitoring instruction sent by the audit terminal, determines the data collection address according to the monitoring target identifier in the financial information monitoring instruction, performs data collection, obtains the financial information data, determines the importance score corresponding to the financial information data according to the financial information data and the data collection address, standardizes the financial information data to obtain the data to be input, inputs the data to be input into the financial information processing model, obtains the analysis result output by the financial information processing model, generates a corresponding chart based on the analysis result and the importance score, and outputs the chart, so as to realize the automatic processing of the financial information data and intuitively display the financial information data, reduce the time cost and labor cost required for processing the financial information data, and increase the efficiency of the financial information data processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] Figure 1 A schematic diagram of an application scenario of a financial information processing method based on a securities system provided in an embodiment of the present application;

[0020] Figure 2 A flowchart of a financial information processing method based on a securities system provided in an embodiment of the present application;

[0021] Figure 3 A schematic diagram of the structure of a financial information processing device based on a securities system provided in an embodiment of the present application;

[0022] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0023] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0024] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0025] Financial information data processing technology plays a vital role in improving the accuracy of securities companies' decisions. Through financial data processing, securities companies can make more scientific and reasonable decisions based on the processed data, thereby providing users with more reliable services. This improvement in capabilities has significantly enhanced the core competitiveness of securities companies in the fierce market competition.

[0026] However, it is worth noting that in many current securities systems, the analysis process of financial information is still highly dependent on manual operations. Specifically, staff need to manually enter a large amount of financial data and then perform tedious data processing. This traditional method is not only inefficient, but also easily affected by human factors, resulting in limited accuracy and timeliness of processing results.

[0027] In response to the above technical problems, the inventors proposed the following technical concept: determine the data collection address in combination with the identification of the detection target, collect the financial information data in the data collection address, determine the importance score corresponding to the financial information data based on the financial information data and the data collection address, standardize the financial information data and input it into the financial information processing model, obtain the analysis results output by the financial information processing model, create financial information charts based on the analysis results and the importance scores, and output the analysis results and the financial information charts.

[0028] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0029] Figure 1 Schematic diagram of the application scenario of the financial information processing method based on the securities system provided in the embodiment of the present application. Figure 1 In this scenario, it includes: audit terminal 101 and server 102.

[0030] In the specific implementation process, the audit terminal 101 may include a computer, a server, a tablet, a mobile phone, a PDA (Personal Digital Assistant), a notebook, etc., which can input data.

[0031] The server 102 can be implemented using a server or a cluster of multiple servers with more powerful processing capabilities and higher security. If possible, it can also be replaced by a computer, laptop, etc. with stronger computing power.

[0032] The connection between the server 102 and the audit terminal 101 can be a wired connection or a wireless connection.

[0033] The audit terminal 101 is used to send financial information monitoring instructions to the server 102, so that the server 102 can perform corresponding financial information monitoring and analysis.

[0034] The server 102 is used to collect financial information data, analyze the financial information data and calculate the importance thereof.

[0035] It is understandable that the scenarios illustrated in the embodiments of the present application do not constitute a specific limitation on the financial information processing method. In other feasible implementations of the present application, the above scenarios may include more or fewer components than those shown in the figure, or combine certain components, or split certain components, or arrange the components differently, which can be determined according to the actual application scenario and is not limited here. Figure 1 The scenarios shown can be implemented by hardware, software, or a combination of software and hardware.

[0036] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0037] Figure 2 A flowchart of a financial information processing method based on a securities system provided in an embodiment of the present application. The execution subject of the embodiment of the present application may be Figure 1 The server 102 in the embodiment may also be a computer and / or a mobile phone, etc., which is not particularly limited in this embodiment. Figure 2 As shown, the method includes:

[0038] S201: Receive a financial information monitoring instruction sent by a review terminal, wherein the financial information monitoring instruction includes a monitoring target identifier.

[0039] In this step, the financial information monitoring instruction can be obtained by receiving a message, a data packet, an application message, etc. The detection target identifier can include a code of the monitoring target, a name of the monitoring target, etc.

[0040] S202: Determine a data collection address according to the monitoring target identifier.

[0041] In this step, the detection target identifier may be written into the data collection address template to obtain the data collection address. The detection target identifier may be searched for a corresponding relationship between the identifier and the address to obtain the corresponding data collection address.

[0042] Among them, the correspondence between the identifier and the address can be pre-calibrated by the staff and stored in the format of table, key-value pair, etc.

[0043] S203: Collect financial information data in the data collection address.

[0044] In this step, the financial information data in the data collection address may be collected using pre-configured data collection tools, web crawlers, etc. It should be noted that the process of collecting financial information complies with the data collection requirements of the data collection address and relevant parties.

[0045] S204: Determine the importance score corresponding to the financial information data based on the financial information data and the data collection address.

[0046] In this step, the first sub-importance value of the financial information data may be determined by using a large model or data content in the financial information data, and the second sub-importance value corresponding to the data collection address may be found, and the first sub-importance value and the second sub-importance value may be weighted and summed to obtain an importance score. The financial information data and the data collection address may also be input into the large model to obtain an importance score output by the large model.

[0047] S205: Standardize the financial information data to obtain the data to be input.

[0048] In this step, operations such as data cleaning, deduplication, and formatting are performed on the financial information data to obtain the data to be input.

[0049] S206: Input the data to be input into the financial information processing model to obtain the analysis results output by the financial information processing model.

[0050] In this step, the financial information processing model can be a neural network model pre-trained by the staff, and can include a feedforward neural network model, a feedback neural network model, etc.

[0051] S207: Generate financial information charts corresponding to the analysis results and importance scores.

[0052] This step may include writing the analysis results and importance scores into corresponding locations in the financial information chart template.

[0053] S208: Output analysis results and financial information charts.

[0054] This step may include displaying and outputting the analysis results and financial information charts, or sending the analysis results and financial information charts to a review terminal.

[0055] From the description of the above embodiments, it can be seen that the embodiments of the present disclosure receive the financial information monitoring instruction sent by the audit terminal, determine the data collection address according to the monitoring target identifier in the financial information monitoring instruction, perform data collection, obtain financial information data, determine the importance score corresponding to the financial information data according to the financial information data and the data collection address, standardize the financial information data to obtain the data to be input, input the data to be input into the financial information processing model, obtain the analysis result output by the financial information processing model, generate a corresponding chart based on the analysis result and the importance score, and output the chart, so as to realize automatic processing of financial information data and intuitively display the financial information data, reduce the time cost and manpower cost required for processing the financial information data, and increase the efficiency of financial information data processing.

[0056] In a possible implementation, in the above step S202, determining the data collection address according to the monitoring target identifier includes:

[0057] S2021: Determine at least one corresponding keyword based on the monitoring target identifier, where the keyword corresponds to a keyword type.

[0058] In this step, the monitoring target identifier may be input into the keyword generation model to obtain the keyword output by the keyword generation model and the corresponding keyword type. It may also include searching for the corresponding relationship between the identifier and the keyword according to the detection target identifier to obtain the corresponding keyword.

[0059] Among them, the correspondence between the identifier and the keyword can be pre-configured by the staff and stored in the form of tables, key-value pairs, etc.

[0060] S2022: Write the keyword into the address template corresponding to the keyword type to obtain a data collection address.

[0061] In this step, the keyword may be written into the address template, into the writing position corresponding to the keyword type, to obtain the data collection address.

[0062] Among them, the address template corresponding to the keyword type can be pre-configured by the staff.

[0063] From the description of the above embodiments, it can be seen that the embodiments of the present disclosure obtain the data collection address by searching for the keyword corresponding to the monitoring target identifier and writing the keyword into the address template corresponding to the keyword type, thereby dynamically generating the data collection address and facilitating the subsequent use of the data collection address to collect financial information data.

[0064] In a possible implementation, in the above step S204, determining the importance score corresponding to the financial information data according to the financial information data and the data collection address includes:

[0065] S2041: Determine the financial information score based on the financial information data.

[0066] In this step, the financial information score is determined by combining the number of keywords and the importance of keywords in the financial information data.

[0067] Specifically, it includes multiplying the number of any keyword by the corresponding keyword importance to obtain the keyword score corresponding to the keyword, and adding the keyword scores corresponding to each keyword to obtain the financial information score.

[0068] S2042: Determine the source score based on the data collection address.

[0069] In this step, the corresponding relationship between the preset address and the score is searched according to the data collection address to obtain the source score.

[0070] The correspondence between the address and the score can be pre-calibrated by the staff according to experimental data or empirical parameters, and stored in a table or key-value pair format.

[0071] S2043: Take the weighted sum of the financial information score and the source score to obtain an importance score.

[0072] In this step, the weights corresponding to the financial information score and the source score can be pre-calibrated by the staff based on experimental data or empirical parameters.

[0073] From the description of the above embodiments, it can be seen that the embodiments of the present disclosure determine the financial information score based on the financial information data, determine the source score based on the data collection address, and take the weighted sum of the financial information score and the source score to obtain the importance score, thereby achieving comprehensive determination of the importance of the financial information and increasing the accuracy of financial information data collection.

[0074] In a possible implementation, the above step S2041 determines the financial information score according to the financial information data, including:

[0075] S411A: Count the number of occurrences of a target field in the financial information data, where the target field can be any preset field.

[0076] In this step, the method of counting the number of occurrences may include searching for a target field in the financial information data to obtain the total amount (number of occurrences) of the target field in the financial information data. The preset field may be pre-set by the staff.

[0077] S412A: Multiply the number of occurrences by the weight value corresponding to the target field to obtain the field score corresponding to the target field.

[0078] In this step, for example, if the number of occurrences corresponding to the preset field A is 10 and the weight value is 0.1, the field score corresponding to the target field is 1. For another example, if the number of occurrences corresponding to the preset field B is 50 and the weight value is 0.3, the field score corresponding to the preset field B is 15.

[0079] S413A: Add the field scores corresponding to the preset fields to obtain the financial information score.

[0080] In this step, for example, the field score corresponding to the preset field A is 3, the field score corresponding to the preset field B is 8, and the field score corresponding to the preset field C is 10, then the financial information score is 21.

[0081] From the description of the above embodiments, it can be seen that the embodiments of the present disclosure obtain the field score corresponding to the target field by counting the number of occurrences of the target field in the financial information data and multiplying the number of occurrences by the corresponding weight value, and then adding the field scores corresponding to each preset field to obtain the financial information score, thereby realizing the evaluation of the importance of the financial information.

[0082] In a possible implementation, in the above step S2041, determining the financial information score according to the financial information data includes:

[0083] S411B: Obtain interactive behavior data corresponding to the financial information data.

[0084] In this step, the interactive behavior data includes the number of likes, reposts, favorites, and bullet comments.

[0085] S412B: Determine an interaction weight value according to the interaction behavior data.

[0086] In this step, the number of times of each type of interactive behavior data may be input into a preset interactive weight value calculation formula to obtain an interactive weight value, or the number of times corresponding to each type of interactive behavior data may be weighted and summed to obtain an interactive weight value.

[0087] Among them, the calculation formula of the interaction weight value and the weight values ​​corresponding to various types of interaction behavior data can be pre-set by the staff.

[0088] S413B: Count the number of times the target field appears in the financial information data to obtain the number of times the target field appears.

[0089] This step is similar to the above step S411A and will not be repeated here.

[0090] S414B: Count the total number of words in the financial information data.

[0091] In this step, the financial information data may be input into a local document processing software to obtain the corresponding total number of words, or the total number of words may be directly counted from the data collection address using a script pre-written by a staff member.

[0092] S415B: Divide the number of occurrences of the target field by the total number of words in the financial information data to obtain the occurrence frequency.

[0093] In this step, for example, if the target field A appears 100 times and the total number of words is 2000, the frequency of occurrence of the target field A is 5%. For another example, if the target field B appears 400 times and the total number of words is 5000, the frequency of occurrence of the target field B is 0.08.

[0094] S416B: According to the occurrence frequency, find the corresponding relationship between the frequency and the weight value to obtain the frequency weight value.

[0095] In this step, the correspondence between the frequency and the weight value can be pre-calibrated by the staff and stored in a table, key-value pair, file, etc. This step can also first determine the preset frequency interval where the frequency occurs, find the correspondence between the frequency interval and the weight value, and obtain the frequency weight value.

[0096] S417B: Add the interaction weight value and the frequency weight value to obtain the financial information score.

[0097] In this step, for example, if the weight corresponding to the interaction weight value is 0.3, the weight of the frequency weight value is 0.7, the interaction weight value is 30, and the frequency weight value is 90, then the financial information score is 72. For another example, if the weight corresponding to the interaction weight value is 0.6, the weight of the frequency weight value is 0.4, the interaction weight value is 50, and the frequency weight value is 40, then the financial information score is 46.

[0098] From the description of the above embodiments, it can be seen that the embodiments of the present disclosure determine the interaction weight value corresponding to the interaction behavior by combining the interaction behavior and the frequency of occurrence of the target field in the financial information data, and find the corresponding relationship to obtain the corresponding frequency weight value, and perform weighted summation to obtain the financial information score, so as to comprehensively consider the interaction behavior and the corresponding frequency of occurrence of each field, and more accurately obtain the importance of the collected financial information data.

[0099] In a possible implementation, the interaction behavior data includes the number of interactions corresponding to each type of interaction behavior.

[0100] Accordingly, in the above step S412B, determining the interaction weight value according to the interaction behavior data includes:

[0101] S412B1: Determine a weight value corresponding to the target class interactive behavior according to the number of interactive behaviors corresponding to the target class interactive behavior.

[0102] In this step, it can include finding the correspondence between the number of interaction behaviors corresponding to the target class interaction behavior and the weight value according to the number of interaction behaviors to obtain the corresponding weight value, or it can include inputting the number of interaction behaviors into the weight value calculation formula corresponding to the target class interaction behavior to obtain the corresponding weight value.

[0103] The target type of interactive behavior may be any type of interactive behavior, such as likes, forwarding, favorites, bullet comments, browsing, etc. The corresponding number of interactive behaviors may include: the number of likes, the number of favorites, the number of forwarding, the number of bullet comments, the number of browsing, etc.

[0104] S412B2: weighted sum the weight values ​​corresponding to each type of interaction behavior to obtain an interaction weight value.

[0105] In this step, for example, the weight value corresponding to the interaction behavior of type A is 5, and the preset coefficient is 0.2; the weight value corresponding to the interaction behavior of type B is 7, and the preset coefficient is 0.4; the weight value corresponding to the interaction behavior of type C is 8, and the preset coefficient is 0.4, and the interaction weight value is 7. For another example, the weight value corresponding to the like is 10, and the preset coefficient is 0.7; the weight value corresponding to the favorite is 5, and the preset coefficient is 0.2; the weight value corresponding to the browse is 20, and the preset coefficient is 0.1, and the interaction weight value is 10.

[0106] From the description of the above embodiments, it can be seen that the embodiments of the present application obtain the total interaction weight value by calculating the weight value corresponding to the number of interaction behaviors and weighted summing up the weight values, so as to accurately determine the influence of the interaction behavior on the importance of financial information, thereby facilitating the subsequent accurate judgment of the importance of financial information data.

[0107] Figure 3 This is a schematic diagram of the structure of a financial information processing device based on a securities system provided in an embodiment of the present application. Figure 3 As shown, the financial information processing device 300 based on the securities system includes: an instruction receiving module 301, an address determination module 302, a data acquisition module 303, a score determination module 304, a data acquisition module 305, a result acquisition module 306, a chart generation module 307 and a data output module 308.

[0108] The instruction receiving module 301 is used to receive the financial information monitoring instruction sent by the audit terminal, wherein the financial information monitoring instruction includes a monitoring target identifier;

[0109] An address determination module 302 is used to determine a data collection address according to a monitoring target identifier;

[0110] The data collection module 303 is used to collect financial information data in the data collection address;

[0111] A score determination module 304, used to determine the importance score corresponding to the financial information data according to the financial information data and the data collection address;

[0112] The data acquisition module 305 is used to standardize the financial information data to obtain the data to be input;

[0113] The result acquisition module 306 is used to input the data to be input into the financial information processing model to obtain the analysis result output by the financial information processing model;

[0114] A chart generation module 307 is used to generate a chart of financial information corresponding to the analysis results and importance scores;

[0115] The data output module 308 is used to output analysis results and financial information charts.

[0116] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0117] In a possible implementation, the address determination module 302 is specifically configured to determine at least one corresponding keyword according to the monitoring target identifier, wherein the keyword corresponds to a keyword type; write the keyword into an address template corresponding to the keyword type to obtain a data collection address.

[0118] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0119] In a possible implementation, the score determination module 304 is specifically used to determine the financial information score based on the financial information data; determine the source score based on the data collection address; and perform weighted summation of the financial information score and the source score to obtain an importance score.

[0120] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0121] In one possible implementation, the score determination module 304 is specifically used to count the number of occurrences of a target field in financial information data, where the target field can be any preset field; multiply the number of occurrences by the weight value corresponding to the target field to obtain the field score corresponding to the target field; add the field scores corresponding to each preset field to obtain the financial information score.

[0122] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0123] In one possible implementation, the score determination module 304 is specifically used to obtain interactive behavior data corresponding to the financial information data; determine the interactive weight value based on the interactive behavior data; count the number of times a target field appears in the financial information data to obtain the number of times the target field appears; count the total number of words in the financial information data; divide the number of times the target field appears by the total number of words in the financial information data to obtain the frequency of occurrence; according to the frequency of occurrence, find the corresponding relationship between the frequency and the weight value to obtain the frequency weight value; and weightedly sum the interactive weight value and the frequency weight value to obtain the financial information score.

[0124] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0125] In one possible implementation, the interaction behavior data includes the number of interactions corresponding to each type of interaction behavior; the score determination module 304 is specifically used to determine the weight value corresponding to the target type of interaction behavior according to the number of interaction behaviors corresponding to the target type of interaction behavior; and the weight values ​​corresponding to each type of interaction behavior are weighted and summed to obtain the interaction weight value.

[0126] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0127] In order to implement the above embodiment, the embodiment of the present application also provides an electronic device.

[0128] refer to Figure 4, which shows a schematic diagram of the structure of an electronic device 400 suitable for implementing the embodiment of the present application, and the electronic device 400 may be a terminal device or a server. The terminal device may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, personal digital assistants (PDAs), tablet computers (Portable Android Devices, PADs), portable multimedia players (Portable Media Players, PMPs), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0129] like Figure 4 As shown, the electronic device 400 may include a processor (such as a central processing unit, a graphics processing unit, etc.) 401, and a memory 402 connected to the processor in communication, which can perform various appropriate actions and processes according to the program stored in the memory 402, the computer execution instruction, or the program loaded from the storage device 408 to the random access memory (Random Access Memory, referred to as RAM) 403, to implement the financial information processing method in any of the above embodiments, wherein the memory may be a read-only memory (Read Only Memory, referred to as ROM). In the RAM 403, various programs and data required for the operation of the electronic device 400 are also stored. The processing device 401, the memory 402, and the RAM 403 are connected to each other through a bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0130] Typically, the following devices may be connected to the I / O interface 405: an input device 406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 408 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. Figure 4 The electronic device 400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0131] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 409, or installed from the storage device 408, or installed from the memory 402. When the computer program is executed by the processing device 401, the above-mentioned functions defined in the method of the embodiment of the present application are executed.

[0132] It should be noted that the computer-readable storage medium mentioned above in the present application may be a computer-readable signal medium or a computer storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable storage medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0133] The computer-readable storage medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0134] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

[0135] The computer program code for performing the operation of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0136] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0137] The modules involved in the embodiments described in this application can be implemented by software or hardware. The name of the unit does not constitute a limitation on the module itself in some cases. For example, the address determination module can also be described as a "data acquisition address determination module".

[0138] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0139] The present application also provides a computer-readable storage medium, which stores computer execution instructions. When the processor executes the computer execution instructions, the technical solution of the financial information processing method in any of the above-mentioned embodiments is implemented. The implementation principle and beneficial effects are similar to those of the financial information processing method. Please refer to the implementation principle and beneficial effects of the financial information processing method, and no further details will be given here.

[0140] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0141] The present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the technical solution of the financial information processing method in any of the above-mentioned embodiments. Its implementation principle and beneficial effects are similar to the implementation principle and beneficial effects of the financial information processing method. Please refer to the implementation principle and beneficial effects of the financial information processing method, and no further details will be given here.

[0142] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

[0143] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0144] It should be understood that the present application is not limited to the precise structures that have been 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 application is limited only by the appended claims.

Claims

1. A financial information processing method based on a securities system, characterized in that: include: Receiving a financial information monitoring instruction sent by the audit terminal, wherein the financial information monitoring instruction includes a monitoring target identifier; Determining a data collection address according to the monitoring target identifier; Collecting financial information data from the data collection address; Determining the importance score corresponding to the financial information data according to the financial information data and the data collection address; Standardizing the financial information data to obtain data to be input; Inputting the data to be input into the financial information processing model to obtain the analysis result output by the financial information processing model; Generate a financial information chart corresponding to the analysis result and the importance score; The analysis result and the financial information chart are output.

2. The method according to claim 1, characterized in that The step of determining a data collection address according to the monitoring target identifier includes: Determining at least one corresponding keyword according to the monitoring target identifier, wherein the keyword corresponds to a keyword type; The keyword is written into the address template corresponding to the keyword type to obtain a data collection address.

3. The method according to claim 1, characterized in that Determining the importance score corresponding to the financial information data according to the financial information data and the data collection address includes: Determining a financial information score based on the financial information data; Determining a source score according to the data collection address; The financial information score and the source score are weighted and summed to obtain an importance score.

4. The method according to claim 3, characterized in that Determining the financial information score according to the financial information data includes: Counting the number of occurrences of a target field in the financial information data, wherein the target field may be any preset field; Multiply the number of occurrences by the weight value corresponding to the target field to obtain a field score corresponding to the target field; Add up the field scores corresponding to each preset field to obtain the financial information score.

5. The method according to claim 3, characterized in that: Determining a financial information score according to the financial information data includes: Obtaining interactive behavior data corresponding to the financial information data; Determine the interaction weight value based on the interaction behavior data; Counting the number of times a target field appears in the financial information data to obtain the number of times the target field appears; Counting the total number of words in the financial information data; The occurrence frequency of the target field is obtained by dividing the number of occurrences of the target field by the total number of words in the financial information data; According to the occurrence frequency, find the corresponding relationship between the frequency and the weight value to obtain the frequency weight value; The interaction weight value and the frequency weight value are weighted and summed to obtain a financial information score.

6. The method according to claim 5, characterized in that The interaction behavior data includes the number of interactions corresponding to each type of interaction behavior; Accordingly, determining the interaction weight value according to the interaction behavior data includes: Determine a weight value corresponding to the target class interactive behavior according to the number of interactive behaviors corresponding to the target class interactive behavior; The weight values ​​corresponding to each type of interaction behavior are weighted and summed to obtain the interaction weight value.

7. A financial information processing device based on a securities system, characterized in that: include: An instruction receiving module, used for receiving a financial information monitoring instruction sent by the audit terminal, wherein the financial information monitoring instruction includes a monitoring target identifier; An address determination module, used to determine a data collection address according to the monitoring target identifier; A data collection module, used to collect financial information data from the data collection address; A score determination module, used to determine the importance score corresponding to the financial information data according to the financial information data and the data collection address; A data acquisition module, used to standardize the financial information data to obtain data to be input; A result acquisition module, used for inputting the data to be input into the financial information processing model to obtain the analysis result output by the financial information processing model; A chart generation module, used to generate a financial information chart corresponding to the analysis result and the importance score; A data output module is used to output the analysis results and the financial information charts.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor executes the financial information processing method based on the securities system as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the financial information processing method based on a securities system as described in any one of claims 1 to 7.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the financial information processing method based on a securities system as described in any one of claims 1 to 7.

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