CN114090761A - Early warning triggering method and device based on information identification - Google Patents
Early warning triggering method and device based on information identification Download PDFInfo
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Abstract
The invention provides an early warning triggering method and device based on information identification, wherein the early warning triggering method comprises the steps of obtaining user interaction data and storing the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person; identifying the interactive data according to a preset early warning algorithm, wherein the early warning algorithm comprises early warning after identifying structural data and early warning after identifying non-structural data; judging whether to perform early warning according to the recognition result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously recognizing the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules; the invention can improve the flexibility and effectiveness of logic customization of the early warning algorithm, and avoids the problem of delay of post analysis and post treatment by combining the specific user answers to perform early warning in the first time.
Description
Technical Field
The invention relates to the field of data processing, in particular to an early warning triggering method and device based on information identification, electronic equipment and a storage medium.
Background
More and more enterprises can gain insight into the preference and demand of consumers by collecting and analyzing feedback data (namely interactive data) of all-channel and all-contact customers, find problems and opportunity points of products or services, and guide departments such as products, services, markets and the like to optimize customer experience; the interactive data contains a large amount of information; the valuable information points are screened, analyzed and abstracted from the mass information pools and then submitted to relevant departments to make corresponding optimization and improvement actions, and serious hysteresis exists.
Most existing systems employ specific or simple logic programs written in code to alert or remind specific personnel.
Disclosure of Invention
The embodiment of the invention provides an early warning triggering method and device based on information identification, electronic equipment and a storage medium, which can greatly improve the agility of identifying important information in interactive data and the real-time performance of early warning.
In a first aspect, an embodiment of the present invention provides an early warning triggering method based on information identification, where the early warning triggering method includes:
acquiring user interaction data and storing the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person;
identifying the interactive data according to a preset early warning algorithm; the early warning algorithm comprises early warning after identifying structural data and early warning after identifying non-structural data;
judging whether to perform early warning according to the recognition result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously recognizing the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules.
Optionally, the binding of the interaction data and the pre-warned person includes:
calibrating the key features of the interactive users by using different key feature parameters;
and binding the key features with the corresponding pre-warned person.
Optionally, the performing early warning after identifying the structure data includes:
calibrating the structural data in the interactive data from three dimensions; wherein the three dimensions include a set topic ID, a question ID, and an option ID;
and acquiring early warning conditions set for the structural data from a background, and identifying and judging whether the structural data meets the early warning conditions.
Optionally, the performing early warning after identifying the non-structural data includes:
acquiring the non-structural data and performing keyword retrieval on the non-structural data by using a prefabricated viewpoint collocation dictionary;
automatically extracting viewpoints to classify according to the matching degree of the non-structural data and the keywords retrieved from the viewpoint collocation dictionary;
and acquiring early warning conditions set for the non-structural data from a background, and identifying and judging whether the non-structural data meets the early warning conditions.
Optionally, the performing early warning after identifying the non-structural data further includes judging an emotion polarity type of a text and giving a corresponding confidence for the text with subjective description; wherein the emotional polarity includes positive, negative, and neutral.
Optionally, the sending of the warning information further includes determining whether the warning information is successfully received, and if the receiving is successful, marking that the command has been sent, and if the receiving is failed, determining whether to resend the warning information.
In a second aspect, an embodiment of the present invention provides an early warning triggering apparatus based on information identification, where the early warning triggering apparatus includes:
the acquisition module acquires user interaction data and stores the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person;
the identification module is used for identifying the interactive data according to a preset early warning algorithm; the early warning algorithm comprises early warning after identifying structural data and early warning after identifying non-structural data;
the judging and processing module is used for judging whether to carry out early warning according to the identification result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously identifying the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules.
Optionally, the determining and processing module further includes an early warning information sending condition feedback unit, which determines whether the early warning information is successfully received, if the early warning information is successfully received, the marking command is sent, and if the early warning information is failed to be received, the determining and processing module determines whether to resend the early warning information.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory stores a computer program thereon, and the processor implements the method according to any one of the first aspect when executing the program.
In a fourth aspect, an embodiment of the invention provides a computer-readable storage medium on which is stored a computer program which, when executed by a processor, implements the method of any one of the first aspects.
The invention provides an early warning triggering method and device based on information identification, electronic equipment and a storage medium, wherein the early warning triggering method comprises the steps of obtaining user interaction data and storing the user interaction data into an interaction data database; then, identifying the interactive data according to a preset early warning algorithm; finally, judging whether to perform early warning according to the recognition result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously recognizing the next interactive data; the invention pre-embeds and identifies the algorithm of important information identified by enterprises by providing a self-defined algorithm editing module; when any interactive data is collected, as long as the interactive data conforms to the early warning condition defined by the algorithm, the system triggers related rules at the first time, and the related rules can inform early warned persons of related departments of the enterprise according to preset channels, modes, frequencies and the like; the method greatly improves the agility of quickly identifying important information in interactive data and the real-time performance of early warning, improves the flexibility and the effectiveness of logic customization of an early warning algorithm, and avoids the problem of delay of after-treatment analysis by combining with the touch of early warning of specific user answers at the first time.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of any embodiment of the invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of various embodiments of the present invention will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, the same or similar reference numerals denote the same or similar elements.
Fig. 1 shows a logic diagram of an early warning triggering system based on information identification according to an embodiment of the present invention;
fig. 2 shows a flowchart of an early warning triggering method based on information recognition according to an embodiment of the present invention;
FIG. 3 illustrates a flow diagram of interaction data binding with a pre-warned person, in accordance with an embodiment of the present invention;
FIG. 4 shows a topical example diagram of a questionnaire of an embodiment of the invention;
FIG. 5 illustrates a flow chart of the identification of unstructured data in an early warning algorithm of an embodiment of the present invention;
fig. 6 shows a flowchart of the formation of the warning information transmission rule of the embodiment of the present invention;
fig. 7 shows a flowchart of an early warning triggering method based on information recognition according to another embodiment of the present invention;
fig. 8 is a schematic structural diagram of an early warning triggering device based on information identification according to an embodiment of the present invention;
fig. 9 shows a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
It should be noted that, the description of the embodiment of the present invention is only for clearly illustrating the technical solutions of the embodiment of the present invention, and does not limit the technical solutions provided by the embodiment of the present invention.
Fig. 1 shows a logic diagram of an early warning triggering system based on information identification according to an embodiment of the present invention; the system comprises background management, a database and a user side;
the user side submits the questionnaire filled by the user according to the requirement of the question to an interactive data database, and the interactive data is bound with the information of the pre-warned personnel; the information of the personnel to be warned is stored in a prewarning personnel information base of the database; after logging in, the management background defines an early warning condition through an early warning algorithm self-defining module, identifies interactive data in the interactive data database and judges whether the interactive data meet the early warning condition, if so, retrieves information of an early-warned person bound by the interactive data from the early-warned person information base, and sends the early warning information to the early-warned person through a short message or a mail;
the early warning information is compiled according to rules set by an early warning trigger rule setting module, and the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules;
the embodiment pre-embeds and identifies the algorithm of important information identified by enterprises by providing a self-defined algorithm editing module; when any interactive data is collected, as long as the interactive data conforms to the early warning condition defined by the algorithm, the system triggers related rules at the first time, and the related rules can inform early warned persons of related departments of the enterprise according to preset channels, modes, frequencies and the like; the method greatly improves the agility of quickly identifying important information in interactive data and the real-time performance of early warning, improves the flexibility and the effectiveness of logic customization of an early warning algorithm, and avoids the problem of delay of after-treatment analysis by combining with the touch of early warning of specific user answers at the first time.
Fig. 2 shows a flowchart of an early warning triggering method based on information recognition according to an embodiment of the present invention; referring to fig. 2, the warning triggering method includes:
s20, acquiring user interaction data and storing the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person;
specifically, required interaction data are obtained from a user in a questionnaire survey mode, the interaction data are stored in an interaction data database, an information base of the pre-warned person is established, and the interaction data are bound with the pre-warned person; the binding of the interaction data and the pre-warned personnel comprises the following steps:
calibrating the key features of the interactive users by using different key feature parameters;
and binding the key features with the corresponding pre-warned person.
FIG. 3 illustrates a flow diagram of interaction data binding with a pre-warned person, in accordance with an embodiment of the present invention;
specifically, in order to realize the one-to-one binding relationship between the interactive data of different users and different pre-warned persons, embedding points in an interactive link, calibrating the key features to which the interactive users belong through different key feature parameters, and then corresponding the key features to the corresponding pre-warned persons; the interactive data of one user can be calibrated by a plurality of groups of key features and have different attribute values under a plurality of key features; therefore, one-to-many complex mapping relation binding is realized.
The binding relationship is embodied in a preferred embodiment as follows:
the interactive data of the owner of the A family 4S store needs to be bound with the after-sales manager of the 4S store but cannot be bound with the after-sales manager of the B family 4S store;
the interaction invitation link suffix received by the owner of the a family 4S store can carry the parameter of "rid = a 001", and the interaction invitation link suffix received by the owner of the B family 4S store can carry the parameter of "rid = a 002"; the "rid = a 001" and "rid = a 002" parameter attributes would be bound to the manager of the a home 4S store and the manager of the B home 4S store, respectively.
Through the steps, the personnel needing to be pre-warned can be quickly and correspondingly inquired through the interactive data, and the pre-warning efficiency is improved.
S40, identifying the interactive data according to a preset early warning algorithm, wherein the early warning algorithm comprises structural data identification and non-structural data identification;
specifically, the early warning after the structural data is identified comprises the following steps:
calibrating the structural data in the interactive data from three dimensions; wherein the three dimensions include a set topic ID, a question ID, and an option ID;
and acquiring early warning conditions set for the structural data from a background, and identifying and judging whether the structural data meets the early warning conditions.
Specifically, the structure data is managed and stored in a single set of questionnaires; each structural data is calibrated by three dimensions of 'set question ID, question ID and option ID' together; for example, data for a question in a question set that selects "dissatisfied" may be labeled as: "set topic ID = me8p88 & & topic ID = Tif007 & & option ID = O024";
after any interactive data is calibrated in the above way, operators can arbitrarily define early warning conditions according to grammar rules through a grammar editing window of a management background;
the identification of the structure data is embodied in a preferred embodiment as follows:
the identity definition table for structural data identification is as follows:
FIG. 4 is a diagram illustrating an example of the question of a questionnaire according to an embodiment of the present invention, through which the content of the structural data in the interactive data can be known;
syntactically drafted from the identity definition table and the interaction data and then recognized, for example:
preparing a group by a method: d.s5.any (1,2,3,4,5,6) & & d.t47.setopt (1);
the party-1: d.s2.any (1,2) & & d.s5.any (7) & & d.t47.setopt (2);
the party-2: d.s2.any (3) & & d.s5.any (7) & & d.t47.setopt (3);
specifically, the early warning after the non-structural data is identified comprises the following steps:
acquiring the non-structural data and performing keyword retrieval on the non-structural data by using a prefabricated viewpoint collocation dictionary;
automatically extracting viewpoints to classify according to the matching degree of the non-structural data and the keywords retrieved from the viewpoint collocation dictionary;
and acquiring early warning conditions set for the non-structural data from a background, and identifying and judging whether the non-structural data meets the early warning conditions.
Specifically, the unstructured data is dominated by text data; aiming at the problems corresponding to the text data, a background prefabricates a viewpoint collocation dictionary; the system automatically extracts viewpoints and classifies the viewpoints according to the matching degree of the collected text data and the keywords retrieved from the dictionary; aiming at a Chinese text with subjective description in a general scene, automatically judging the emotion polarity type of the text and giving corresponding confidence coefficient, wherein the emotion polarity comprises positive, negative and neutral; by the method, keyword retrieval, classification and emotion analysis of the non-structural data are formed, and the purpose of monitoring and early warning is achieved.
FIG. 5 illustrates a flow chart of the identification of unstructured data in an early warning algorithm of an embodiment of the present invention; as shown in fig. 5, first, performing word segmentation on the non-structural data, counting word pair frequency, setting a threshold, and reserving word pairs reaching the threshold; then analyzing the reserved word pairs, sequencing the word pairs from high to low according to frequency and extracting effective keywords; further, starting from the high-frequency keywords, matching nodes in the basic system, and locking corresponding fields and phase connection points; and finally, expanding the capacity of the basic system, inserting keywords which are not contained in the basic system into the basic system, judging whether the non-structural data which needs to be analyzed exists or not, if not, finishing the flow, and if so, continuing to analyze from the beginning.
The agility of quickly identifying important information in the interactive data and the real-time performance of early warning can be greatly improved through the steps.
S60, judging whether to perform early warning according to the recognition result, if so, sending early warning information according to an early warning information sending rule, and if not, continuing to recognize the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules;
specifically, the sending of the early warning information further includes determining whether the early warning information is successfully received, if the early warning information is successfully received, marking that the command is sent, and if the early warning information is failed to be received, determining whether to resend the early warning information.
Fig. 6 shows a flowchart of the formation of the warning information transmission rule of the embodiment of the present invention; as shown in fig. 6, the warning information sending rule includes a warning expression rule, a warning time, a frequency, a threshold value rule, a warning channel rule, and a warning feedback rule; the early warning expression rule comprises early warning expression and a presentation terminal; the early warning time, frequency and threshold value rules comprise starting time, ending time, frequency of checking early warning conditions in a time period, maximum single early warning times and minimum single early warning times; the early warning channel rule comprises an early warning channel, an early warning case, the relation between early warning content and the channel and the corresponding relation between the early warning content and the case; the early warning feedback rules include whether a click is required to receive and whether a processing action needs to be filled in.
The flexible setting of the sending rule of the early warning information can be realized through the steps; and the early warning information is ensured to be sent to the person to be early warned in a proper form at a proper time and in a proper channel.
The embodiment provides an early warning triggering method based on information identification, which comprises the steps of acquiring user interaction data and storing the user interaction data into an interaction data database; then, identifying the interactive data according to a preset early warning algorithm; finally, judging whether to perform early warning according to the recognition result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously recognizing the next interactive data; in the embodiment, the algorithm which is identified as important information by enterprises is pre-embedded and identified by providing a self-defined algorithm editing module; when any interactive data is collected, as long as the interactive data conforms to the early warning condition defined by the algorithm, the system triggers related rules at the first time, and the related rules can inform early warned persons of related departments of the enterprise according to preset channels, modes, frequencies and the like; the method greatly improves the agility of quickly identifying important information in interactive data and the real-time performance of early warning, improves the flexibility and the effectiveness of logic customization of an early warning algorithm, and avoids the problem of delay of after-treatment analysis by combining with the touch of early warning of specific user answers at the first time.
Fig. 7 shows a flowchart of an early warning triggering method based on information recognition according to another embodiment of the present invention;
after the operator sets early warning conditions in advance as required at a management background, the user fills in corresponding interactive questions after receiving interactive invitation; after the user clicks and submits, if the interactive data answered by the user accords with the early warning condition, the system can automatically identify and actively push the interactive data to the pre-warned person bound by the user to form a monitoring and action closed loop; if the sent early warning information is received successfully, the marking command is sent, and if the sent early warning information is received unsuccessfully, whether the early warning information is sent again is judged.
Through the steps, the system can help customers to repair low-satisfaction customer groups, lock high-recommendation-degree people groups, purchase again and distribute activity invitation clues.
Based on the same inventive concept, the embodiment of the present invention further provides an early warning triggering apparatus based on information identification, which can be used to implement the early warning triggering method based on information identification described in the above embodiments, as described in the following embodiments. Because the problem solving principle of the early warning trigger device based on the information identification is similar to that of the early warning trigger method based on the information identification, the implementation of the early warning trigger device based on the information identification can refer to the implementation of the early warning trigger method based on the information identification, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
Fig. 8 shows an early warning triggering apparatus based on information identification according to an embodiment of the present invention, where the early warning triggering apparatus includes:
the acquisition module 20 acquires user interaction data and stores the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person;
the identification module 40 is used for identifying the interaction data according to a preset early warning algorithm, wherein the early warning algorithm comprises structural data identification and non-structural data identification;
the judging and processing module 60 judges whether to perform early warning according to the recognition result, if so, sends early warning information according to an early warning information sending rule, and if not, continues to recognize the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules;
the embodiment provides an early warning trigger device based on information identification, wherein the early warning trigger device acquires user interaction data through an acquisition module 20 and stores the user interaction data in an interaction data database; then, the interactive data is identified through an identification module 40 according to a preset early warning algorithm, and finally, whether early warning is carried out or not is judged through a judgment and processing module 60 according to an identification result, if the early warning is carried out, early warning information is sent according to an early warning information sending rule, and if the early warning is not carried out, the next interactive data is continuously identified; the embodiment pre-embeds and identifies the algorithm of important information identified by enterprises by providing a self-defined algorithm editing module; when any interactive data is collected, as long as the interactive data conforms to the early warning condition defined by the algorithm, the system triggers related rules at the first time, and the related rules can inform early warned persons of related departments of the enterprise according to preset channels, modes, frequencies and the like; the method greatly improves the agility of quickly identifying important information in interactive data and the real-time performance of early warning, improves the flexibility and the effectiveness of logic customization of an early warning algorithm, and avoids the problem of delay of after-treatment analysis by combining with the touch of early warning of specific user answers at the first time.
The determining and processing module 60 further includes an early warning information sending condition feedback unit 601, where the early warning information sending condition feedback unit 601 determines whether the early warning information is successfully received, if the early warning information is successfully received, the early warning information sending module marks that the command is sent, and if the early warning information is not successfully received, the early warning information sending module determines whether to resend the early warning information.
The early warning information sending condition feedback unit 601 can timely obtain the feedback condition of the early warning information sending, and timely process the feedback condition, so that the timeliness of information processing is improved.
Fig. 9 is a schematic structural diagram of an electronic device to which an embodiment of the present invention can be applied, and as shown in fig. 9, the electronic device includes a Central Processing Unit (CPU) 901 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 902 or a program loaded from a storage portion 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for system operation are also stored. The CPU 901, ROM 902, and RAM 903 are connected to each other via a bus 904. An input/output (I/O) interface 905 is also connected to bus 904.
The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes an acquisition module, an identification module, and a judgment and processing module, where the names of these modules do not in some cases constitute a limitation on the module itself, for example, the acquisition module may also be described as an "acquisition module that acquires user interaction data and stores it in an interaction data database".
As another aspect, the present invention further provides a computer-readable storage medium, which may be the computer-readable storage medium included in the warning triggering apparatus based on information identification in the foregoing embodiment; or it may be a computer-readable storage medium that exists separately and is not built into the electronic device. The computer readable storage medium stores one or more programs for use by one or more processors in performing a method for warning triggering based on information recognition as described herein.
The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.
Claims (10)
1. An early warning triggering method based on information identification is characterized by comprising the following steps:
acquiring user interaction data and storing the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person;
identifying the interactive data according to a preset early warning algorithm; the early warning algorithm comprises early warning after identifying structural data and early warning after identifying non-structural data;
judging whether to perform early warning according to the recognition result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously recognizing the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules.
2. The warning triggering method of claim 1, wherein the binding of the interaction data with the warned person comprises:
calibrating the key features of the interactive users by using different key feature parameters;
and binding the key features with the corresponding pre-warned person.
3. The warning triggering method according to claim 1, wherein the warning after the structural data is identified comprises:
calibrating the structural data in the interactive data from three dimensions; wherein the three dimensions include a set topic ID, a question ID, and an option ID;
and acquiring early warning conditions set for the structural data from a background, and identifying and judging whether the structural data meets the early warning conditions.
4. The warning triggering method of claim 1, wherein the warning after the non-structural data is identified comprises:
acquiring the non-structural data and performing keyword retrieval on the non-structural data by using a prefabricated viewpoint collocation dictionary;
automatically extracting viewpoints to classify according to the matching degree of the non-structural data and the keywords retrieved from the viewpoint collocation dictionary;
and acquiring early warning conditions set for the non-structural data from a background, and identifying and judging whether the non-structural data meets the early warning conditions.
5. The warning triggering method according to claim 4, wherein the warning after the non-structural data is identified further comprises judging the emotion polarity type of the text and giving a corresponding confidence level for a Chinese text with subjective description; wherein the emotional polarity includes positive, negative, and neutral.
6. The warning triggering method according to claim 1, wherein the sending the warning information comprises determining whether the warning information is successfully received, and if the warning information is successfully received, marking that the command has been sent, and if the warning information is unsuccessfully received, determining whether to resend the warning information.
7. An early warning triggering device based on information identification, characterized in that the early warning triggering device comprises:
the acquisition module acquires user interaction data and stores the user interaction data in an interaction data database; wherein the interactive data is bound with the pre-warned person;
the identification module is used for identifying the interactive data according to a preset early warning algorithm; the early warning algorithm comprises early warning after identifying structural data and early warning after identifying non-structural data;
the judging and processing module is used for judging whether to carry out early warning according to the identification result, if so, sending early warning information according to an early warning information sending rule, and if not, continuously identifying the next interactive data; the early warning information sending rules comprise early warning expression rules, early warning time, frequency, threshold value rules, early warning channel rules and early warning feedback rules.
8. The warning triggering device according to claim 7, wherein the determining and processing module further comprises a warning information sending condition feedback unit, which determines whether the warning information is successfully received, and if the warning information is successfully received, marks that the command has been sent, and if the warning information is unsuccessfully received, determines whether to resend the warning information.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the computer program, implements the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.
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