CN116402314A - Information prompting method, device, equipment and medium - Google Patents

Information prompting method, device, equipment and medium Download PDF

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Publication number
CN116402314A
CN116402314A CN202310628461.2A CN202310628461A CN116402314A CN 116402314 A CN116402314 A CN 116402314A CN 202310628461 A CN202310628461 A CN 202310628461A CN 116402314 A CN116402314 A CN 116402314A
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message
target
event
data
message data
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贾新
李海运
刘坤
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Beijing Tuopu Fenglian Information Technology Co ltd
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Beijing Tuopu Fenglian Information Technology Co ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The application provides a method, a device, equipment and a medium for information prompt, which are used for acquiring target message data in a message system; carrying out semantic recognition on text content in the target message data to determine a message event; determining candidate carrying mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area; if the target message data comprises positioning data, determining a target area where the message event occurs according to the positioning data; determining a target spanners for processing the message event in the candidate spanners according to the target area and the area where each candidate spanners are located; forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.

Description

Information prompting method, device, equipment and medium
Technical Field
The present application relates to the field of data processing, and in particular, to an information prompting method, apparatus, device, and medium.
Background
At present, a user can feed back a problem through an information platform, particularly a message is left in the information platform, and the problem is solved by the aid of a solving party, informing the solving party of the problem by checking the problem in the information platform at regular time by relevant staff. Thus, the above-described method of feeding back the problem by leaving a message has a problem of poor timeliness in which the problem is solved.
Disclosure of Invention
In view of the foregoing, an object of the present application is to provide an information prompting method, apparatus, device and medium for solving the problem of poor timeliness in the prior art that the problem reflected by the user is solved.
In a first aspect, an embodiment of the present application provides a method for information prompting, including:
acquiring target message data in a message system;
carrying out semantic recognition on text content in the target message data to determine a message event;
determining candidate carrying mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area;
if the target message data comprises positioning data, determining a target area where the message event occurs according to the positioning data;
determining a target spanners for processing the message event in the candidate spanners according to the target area and the area where each candidate spanners are located;
forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
Optionally, the method further comprises:
if the target message data does not contain positioning data, but the target message data includes an event picture, identifying environment information in the event picture, and determining a target area where the message event occurs according to the environment information.
Optionally, the method further comprises:
if the target message data does not contain positioning data and event pictures, other message data with release time smaller than a preset time difference are obtained;
carrying out semantic recognition on text content in the other message data to determine at least one other message data containing a message event;
and if the at least one piece of other message data comprises positioning data, determining a target area where the message event occurs according to the positioning data.
Optionally, the method further comprises:
acquiring the progress data of the message event in the target undertaking mechanism;
determining the processing time length of the processing node where the message data are currently located in the progress data, and generating supervision prompt information if the processing time length exceeds a preset time length; and the supervision prompt information is used for prompting the target carrying mechanism to timely process the message event.
Optionally, the method further comprises:
acquiring a first number of received message events and a second number of transacted message events of each undertaking organization in a preset time period; the first number of the message events is obtained by statistics based on semantic recognition results of message data received by the undertaking mechanism;
determining, for each underwriting institution, a processing efficiency of the underwriting institution based on a ratio of the second number to the first number;
determining the underwriting institutions with processing efficiency which does not meet the preset requirements according to the processing efficiency of each underwriting institution;
and sending an efficiency adjustment strategy to a underwriting mechanism with processing efficiency not meeting preset requirements.
In a second aspect, an embodiment of the present application provides an apparatus for information prompting, including:
the acquisition module is used for acquiring target message data in the message system;
the first determining module is used for carrying out semantic recognition on text content in the target message data to determine a message event;
the second determining module is used for determining candidate undertaking mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area;
the third determining module is used for determining a target area where the message event occurs according to the positioning data if the target message data comprises the positioning data;
a fourth determining module, configured to determine, according to the target area and an area where each candidate contractual agency is located, a target contractual agency for processing the message event in the candidate contractual agency;
the reaction module is used for forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
Optionally, the apparatus further includes:
and a fifth determining module, configured to identify environmental information in the event picture if the target message data does not include positioning data, but the target message data includes the event picture, and determine a target area where the message event occurs according to the environmental information.
Optionally, the apparatus further includes:
the time acquisition module is used for acquiring other message data with the release time and the release time of the target message data being less than a preset time difference if the target message data does not contain the positioning data and the event picture;
a sixth determining module, configured to perform semantic recognition on text content in the other message data, and determine at least one other message data that includes a message event;
and a seventh determining module, configured to determine, if the at least one other message data includes positioning data, a target area where the message event occurs according to the positioning data.
In a third aspect, embodiments of the present application provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of the preceding claims when the computer program is executed.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any of the preceding claims.
The embodiment of the application provides an information prompting method, which is used for acquiring target message data in a message system; carrying out semantic recognition on text content in the target message data to determine a message event; determining candidate carrying mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area; if the target message data comprises positioning data, determining a target area where the message event occurs according to the positioning data; determining a target spanners for processing the message event in the candidate spanners according to the target area and the area where each candidate spanners are located; forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
In some embodiments, for the message data in the message system, by performing semantic recognition on text content in the message data, determining a candidate spanish organization corresponding to the message event, determining a spanish organization closest to the message event and capable of solving the message event based on positioning data in the target message data, and sending the target message data to the spanish organization, so that the spanish organization can timely take the spanish organization to solve the message event, further improving the message willingness of a user, timely solving more problems, and improving the problem solving efficiency.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an information prompting method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of a message provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an information prompting device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
The user messages are used as a new way for collecting the problems, so that the problem that the message reply period is long and the reply content cannot really solve the user appeal is often existed, and therefore, the timeliness of solving the user problems is poor, and the message willingness of the user is further reduced continuously.
The embodiment of the application provides a method for information prompt, as shown in fig. 1, comprising the following steps:
s101, obtaining target message data in a message system;
s102, carrying out semantic recognition on text content in the target message data to determine a message event;
s103, determining candidate undertaking mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area;
s104, if the target message data comprises positioning data, determining a target area where the message event occurs according to the positioning data;
s105, determining a target spanners for processing the message event in the candidate spanners according to the target area and the area where each candidate spanners are located;
s106, forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
In step S101, the message system is a way in which users distributed in each area reflect a problem event to a designated issuing authority via a network message. The message system may include a plurality of message data, and the target message data is one of the message data in the message system. The message data may be used to characterize that something has happened at a certain location. For example, as shown in fig. 2, one message data in the message system includes text contents: there are two people in the noon today performing violations. The message data may further include positioning data: XXX building.
In the step S102, the semantic recognition is a natural language processing technology, which can effectively recognize the meaning contained in each sentence, understand the sentence and the content in the sentence, and analyze the real intention of the user. By training the machine learning model, the semantic recognition model for recognizing the message event in the text content is obtained.
In specific implementation, the text content in the target message data can be identified by utilizing semantic identification to identify the message event characterized by the target message data.
For example, the text content of the target message data is "two people are executing the offence in noon today", and the message event identified by the meaning is "execute the offence event".
In step S103, the message event is divided into a plurality of event types, and the sponsors corresponding to the different event types are different. Event types may include any of the following types: public security, fire protection, traffic, etc. The spanners of the leave-message event of the public security class can be public security management institutions, the spanners of the leave-message event of the fire protection class can be fire protection institutions, and the spanners of the leave-message event of the traffic class can be traffic management institutions. Different areas may be provided with underwriting institutions handling different event types. Different areas are divided according to a regional management policy, for example, an area A, an area B, an area C and the like are included in a certain city. The preset event type can also be identified by means of semantic identification, and can also be determined by a pre-stored corresponding relation table of the message event and the event type.
In specific implementation, after determining the event type of the message event, determining a candidate spanish organization capable of spanned the message event corresponding to the event type according to the event type.
In step S104, the positioning data is used to characterize the location where the message event occurs, and the positioning data is uploaded by the user who uploads the target message data.
In the implementation, if the target message data includes positioning data, a specific position where a message event occurs can be determined according to the positioning data, and a target area where the specific position is located can be determined.
In step S105, after the target area where the message event occurs is determined, the candidate contractor located in the target area is determined as the target contractor for processing the message event.
In the step S106, the target message data is directly sent to the target contractor, so that the target contractor can timely solve the message event reflected by the target message data.
According to the method and the device, through the six steps, text content in the message data is subjected to semantic recognition to determine candidate spanish mechanisms corresponding to the message event, the spanish mechanism closest to the message event and capable of solving the message event is determined based on positioning data in the target message data, and the target message data is sent to the spanish mechanism, so that the spanish mechanism can timely take away the spanish personnel to solve the message event, the message willingness of a user is further improved, more problems can be timely solved, and the problem solving efficiency is improved.
In some cases, the user who uploads the target message data does not upload the positioning data, and the text content may not completely describe the real situation of the message event, then the real situation of the message event may be restored by uploading a photo, some surrounding environments may be shot in the photo, and the position where the message event occurs may be further determined by identifying the photo, that is, the method of the present application further includes:
step 107, if the target message data does not include positioning data, but the target message data includes an event picture, identifying environmental information in the event picture, and determining a target area where the message event occurs according to the environmental information.
In the above step 107, the environmental information is information corresponding to the environment included in the captured event picture, and the environmental information may represent the location data, including any one or more of the following information: street information, signage building information, signage scenic spot information, and the like.
In specific implementation, if the target message data does not have accurate positioning data, but includes an event picture, the picture recognition model can be adopted to recognize the environmental information in the event picture, the position of the message event is determined according to the environmental information, and then the target area where the message event occurs is determined according to the position of the message event.
Of course, when uploading the target message data in the group, if no positioning data is uploaded and no photo is uploaded, other message data can be used as positioning reference to determine a target area corresponding to the target message data, that is, the method of the application further includes:
step 108, if the target message data does not contain positioning data and event pictures, acquiring other message data with release time smaller than a preset time difference from the release time of the target message data;
step 109, performing semantic recognition on text content in the other message data to determine at least one other message data containing a message event;
step 110, if the at least one other message data includes positioning data, determining a target area where the message event occurs according to the positioning data.
In the above steps 108 to 110, if the target message data does not include the positioning data for positioning and the event picture, other message data describing the message event is obtained from the other message data, and the target area where the message event occurs is determined based on the positioning data in the other message data describing the same message event. The positioning data of the message event can be determined through a plurality of identical message events, so that the corresponding target area is determined. The data processing amount can be reduced and the positioning efficiency can be provided by screening other message data through the release time.
Of course, if no other message data has positioning data, the positioning of the message event can be further performed according to the event picture in the other data, referring to step 107, and if no event picture exists in the other message data, the range of screening the other message data can be further expanded, that is, the value of the preset time difference is expanded.
The number and timeliness of the message events processed by different spanners affect the message willingness of the user, so that the processing condition of the message events can be tracked, namely, the method further comprises the following steps:
step 111, obtaining the progress data of the message event in the target undertaking mechanism;
step 112, determining the processing time length of the processing node where the message data is currently located in the progress data, and if the processing time length exceeds the preset time length, generating supervision prompt information; and the supervision prompt information is used for prompting the target carrying mechanism to timely process the message event.
In the steps 111 to 112, the carrying mechanism reports the progress of the message event periodically according to the task feedback period. Meanwhile, the processing time length of each processing node is automatically detected by acquiring the processing node information of the task execution process, and reminding and prompting can be carried out in a notification mode under the condition that the processing time length is longer. The processing nodes may include any one or more of the following nodes: message submission, acceptance, return, processing, deferring, replying, evaluating, asking, etc. The full-flow tracking of the message processing is realized by acquiring the node information of the full-flow of the message processing, and the message processing state is fed back in real time.
In order to improve the processing efficiency of the problem reflected by the user, in the application, the total work amount of each underwriting mechanism is also subjected to statistical analysis, so as to analyze the global work, and improve the overall work efficiency of all underwriting mechanisms, that is, the method of the application further comprises:
step 113, obtaining a first number of received message events and a second number of transacted message events of each undertaking organization in a preset time period; the first number of the message events is obtained by statistics based on semantic recognition results of message data received by the undertaking mechanism;
step 114, determining, for each underwriting institution, the processing efficiency of the underwriting institution based on the ratio of the second number to the first number;
step 115, determining the underwriting institutions with processing efficiency which does not meet the preset requirements according to the processing efficiency of each underwriting institution;
and step 116, sending an efficiency adjustment strategy to a underwriting mechanism with processing efficiency not meeting preset requirements.
In the steps 113 to 116, for each of the contractors, a first number of message events received by the contractors is determined periodically according to the message data received by the contractors, a second number of message events that have been processed (completed) by the contractors is obtained, and a processing efficiency of the contractors is determined based on a ratio of the second number to the first number. The processing efficiency of each spanners can be ranked according to the processing efficiency of each spanners, the spanners with the rear ranking are determined to be spanners which do not meet the preset requirements, reminding information can be sent to the spanners, the spanners are ordered to improve the processing efficiency, or staff are distributed to the spanners, and the processing efficiency is quickened.
Of course, for more refined supervision of the sponsor, the following data may also be monitored: message acceptance amount, reply amount, check rate, number of returned times, number of on-demand claims, number of off-demand replies, number of delayed times, number of still exceeding after delay, etc. And then the data are visually presented in various forms such as a histogram, a pie chart and a ranking, and the visual presentation mode can be directly presented to a user through a message system, so that the user can intuitively know the working condition of a carrying mechanism and the message willingness of the user is improved.
The embodiment of the application also provides a device for information prompt, as shown in fig. 3, including:
an obtaining module 301, configured to obtain target message data in a message system;
the first determining module 302 is configured to perform semantic recognition on text content in the target message data, and determine a message event;
a second determining module 303, configured to determine, according to an event type of the message event, a candidate carrying mechanism capable of solving the message event; each candidate sponsor is distributed in a different area;
a third determining module 304, configured to determine, if the target message data includes positioning data, a target area in which the message event occurs according to the positioning data;
a fourth determining module 305, configured to determine, among the candidate contractors, a target contractor for processing the message event according to the target area and an area where each candidate contractor is located;
a reaction module 306, configured to forward the target message data to the target underwriting mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
Optionally, the apparatus further includes:
and a fifth determining module, configured to identify environmental information in the event picture if the target message data does not include positioning data, but the target message data includes the event picture, and determine a target area where the message event occurs according to the environmental information.
Optionally, the apparatus further includes:
the time acquisition module is used for acquiring other message data with the release time and the release time of the target message data being less than a preset time difference if the target message data does not contain the positioning data and the event picture;
a sixth determining module, configured to perform semantic recognition on text content in the other message data, and determine at least one other message data that includes a message event;
and a seventh determining module, configured to determine, if the at least one other message data includes positioning data, a target area where the message event occurs according to the positioning data.
Optionally, the apparatus further includes:
the progress acquisition module is used for acquiring the progress data of the message event in the target undertaking mechanism;
the generation module is used for determining the processing time length of the processing node where the message data are currently located in the progress data, and if the processing time length exceeds the preset time length, generating supervision prompt information; and the supervision prompt information is used for prompting the target carrying mechanism to timely process the message event.
Optionally, the apparatus further includes:
the number acquisition module is used for acquiring the first number of received message events and the second number of transacted message events of each undertaking organization in a preset time period; the first number of the message events is obtained by statistics based on semantic recognition results of message data received by the undertaking mechanism;
the efficiency determining module is used for determining the processing efficiency of each underwriting mechanism based on the ratio of the second quantity to the first quantity;
the judging module is used for determining the underwriting institutions with processing efficiency which does not meet the preset requirements according to the processing efficiency of each underwriting institution;
and the sending module is used for sending an efficiency adjustment strategy to a underwriting mechanism with processing efficiency not meeting preset requirements.
Corresponding to the method of information prompting in fig. 1, the embodiment of the present application further provides a computer device 400, as shown in fig. 4, where the device includes a memory 401, a processor 402, and a computer program stored in the memory 401 and capable of running on the processor 402, where the method of information prompting is implemented when the processor 402 executes the computer program.
Specifically, the memory 401 and the processor 402 can be general-purpose memories and processors, which are not limited herein, and when the processor 402 runs a computer program stored in the memory 401, the method for prompting information can be executed, so that the problem of poor timeliness, which is reflected by a user and is solved in the prior art, is solved.
Corresponding to the method of information prompting in fig. 1, the embodiment of the present application further provides a computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, performs the steps of the method of information prompting described above.
Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk and the like, when a computer program on the storage medium is run, the method for prompting the information can be executed, the problem that the problem reflected by a user is solved in the prior art is solved, the candidate spanned mechanism corresponding to the message event is determined by carrying out semantic recognition on text content in the message data according to the message data in a message system, the spanned mechanism which is nearest to the message event and can solve the message event is determined based on positioning data in target message data, and the target message data is sent to the spanned mechanism, so that the spanned mechanism can timely take out the message event, the message willingness of the user is further improved, more problems can be timely solved, and the problem solving efficiency is improved.
In the embodiments provided in the present application, it should be understood that the disclosed methods and apparatuses may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments provided in the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: like reference numerals and letters in the following figures denote like items, and thus once an item is defined in one figure, no further definition or explanation of it is required in the following figures, and furthermore, the terms "first," "second," "third," etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the corresponding technical solutions. Are intended to be encompassed within the scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of information prompting, comprising:
acquiring target message data in a message system;
carrying out semantic recognition on text content in the target message data to determine a message event;
determining candidate carrying mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area;
if the target message data comprises positioning data, determining a target area where the message event occurs according to the positioning data;
determining a target spanners for processing the message event in the candidate spanners according to the target area and the area where each candidate spanners are located;
forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
2. The method according to claim 1, wherein the method further comprises:
if the target message data does not contain positioning data, but the target message data includes an event picture, identifying environment information in the event picture, and determining a target area where the message event occurs according to the environment information.
3. The method according to claim 2, wherein the method further comprises:
if the target message data does not contain positioning data and event pictures, other message data with release time smaller than a preset time difference are obtained;
carrying out semantic recognition on text content in the other message data to determine at least one other message data containing a message event;
and if the at least one piece of other message data comprises positioning data, determining a target area where the message event occurs according to the positioning data.
4. The method according to claim 1, wherein the method further comprises:
acquiring the progress data of the message event in the target undertaking mechanism;
determining the processing time length of the processing node where the message data are currently located in the progress data, and generating supervision prompt information if the processing time length exceeds a preset time length; and the supervision prompt information is used for prompting the target carrying mechanism to timely process the message event.
5. The method according to claim 1, wherein the method further comprises:
acquiring a first number of received message events and a second number of transacted message events of each undertaking organization in a preset time period; the first number of the message events is obtained by statistics based on semantic recognition results of message data received by the undertaking mechanism;
determining, for each underwriting institution, a processing efficiency of the underwriting institution based on a ratio of the second number to the first number;
determining the underwriting institutions with processing efficiency which does not meet the preset requirements according to the processing efficiency of each underwriting institution;
and sending an efficiency adjustment strategy to a underwriting mechanism with processing efficiency not meeting preset requirements.
6. An apparatus for information prompting, comprising:
the acquisition module is used for acquiring target message data in the message system;
the first determining module is used for carrying out semantic recognition on text content in the target message data to determine a message event;
the second determining module is used for determining candidate undertaking mechanisms capable of solving the message event according to the event type of the message event; each candidate sponsor is distributed in a different area;
the third determining module is used for determining a target area where the message event occurs according to the positioning data if the target message data comprises the positioning data;
a fourth determining module, configured to determine, according to the target area and an area where each candidate contractual agency is located, a target contractual agency for processing the message event in the candidate contractual agency;
the reaction module is used for forwarding the target message data to the target undertaking mechanism; the target underwriting mechanism is used for solving the message event reflected by the target message data.
7. The apparatus of claim 6, wherein the apparatus further comprises:
and a fifth determining module, configured to identify environmental information in the event picture if the target message data does not include positioning data, but the target message data includes the event picture, and determine a target area where the message event occurs according to the environmental information.
8. The apparatus of claim 6, wherein the apparatus further comprises:
the time acquisition module is used for acquiring other message data with the release time and the release time of the target message data being less than a preset time difference if the target message data does not contain the positioning data and the event picture;
a sixth determining module, configured to perform semantic recognition on text content in the other message data, and determine at least one other message data that includes a message event;
and a seventh determining module, configured to determine, if the at least one other message data includes positioning data, a target area where the message event occurs according to the positioning data.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of the preceding claims 1-5 when the computer program is executed.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor performs the steps of the method of any of the preceding claims 1-5.
CN202310628461.2A 2023-05-31 2023-05-31 Information prompting method, device, equipment and medium Pending CN116402314A (en)

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