CN111209465B - Public opinion alarming method and device and electronic equipment - Google Patents
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Abstract
The application provides a public opinion alarming method, a public opinion alarming device and electronic equipment. The public opinion alarming method comprises the following steps: capturing public opinion data of an object to be detected by the Internet according to a predefined public opinion data index table; obtaining public praise data and propagation influence data of an object to be detected; calculating a credit evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence degree data; judging whether the credit rating value is larger than a preset value, and sending alarm information corresponding to public opinion data according to a judging result. To realize how to monitor the credit risk and issue an alarm.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a public opinion alarming method, a public opinion alarming device and electronic equipment.
Background
Currently, brand propaganda is one of the main means of current marketing, and the star has great influence on the aspects of shaping the brand image of enterprises, enhancing the brand cognition, expanding the brand influence and the like by virtue of the unique charm and the calling force of the star.
However, in recent years, some negative news of the stars, such as drug absorption, not only bring disadvantages to careers of the stars themselves, but also have negative effects on the image aspect of the brand of the stars, and brand owners need to make timely trade-offs when dealing with the problems. However, due to the complexity of the social environment, the risk of the star is commonly determined by the multi-dimensional index information.
Disclosure of Invention
The embodiment of the application aims to provide a public opinion alarming method, a public opinion alarming device and electronic equipment, which are used for realizing how to monitor credit risks and giving an alarm.
In a first aspect, an embodiment provides a public opinion alert method, including: capturing public opinion data of an object to be detected by the Internet according to a predefined public opinion data index table; obtaining public praise data and propagation influence data of an object to be detected; calculating a credit evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence degree data; judging whether the credit rating value is larger than a preset value, and sending alarm information corresponding to public opinion data according to a judging result.
In an alternative embodiment, the influencing data comprises: one or more of media impact information, public interest information, and fan impact information of an object to be detected.
In an alternative embodiment, after obtaining the public praise data and the influence data of the object to be detected, the method further comprises: and acquiring the characteristic value of public opinion data, the characteristic value of public praise data and the characteristic value of influence data within the preset range of the object to be detected.
In an alternative embodiment, the credit rating value is generated by performing credit rating calculation according to public opinion data, public praise data and influence data, and the method includes: according to the weight ratio information of the public opinion data and the characteristic value of the public opinion data, calculating and generating public opinion characterization data of an object to be detected; calculating and generating the public praise characterization data of the object to be detected according to the public praise data and the characteristic value of the public praise data; and calculating to obtain a credit evaluation value of the object to be detected according to the public opinion characterizing data, the public opinion characterizing data and the influence index.
In an alternative embodiment, determining whether the confidence rating value is greater than a preset value, and sending alarm information corresponding to public opinion data according to the determination result includes: acquiring an alarm information-credit evaluation value comparison table; and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value.
In a second aspect, an embodiment provides a public opinion alert device, including: the data grabbing module is used for grabbing public opinion data of an object to be detected through the Internet according to a predefined public opinion data index table; the data acquisition module is used for acquiring public praise data and propagation influence data of the object to be detected; the data calculation module is used for calculating a credit evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence degree data; and the data monitoring module is used for judging whether the credit rating value is larger than a preset value and sending alarm information corresponding to the public opinion data according to the judging result.
In an alternative embodiment, the apparatus further comprises: the characteristic value acquisition module is used for acquiring the characteristic value of public opinion data, the characteristic value of public praise data and the characteristic value of propagation influence data in the preset range where the object to be detected is located.
In an alternative embodiment, the data calculation module is configured to: according to the weight ratio information of the public opinion data and the characteristic value of the public opinion data, calculating and generating public opinion characterization data of an object to be detected; calculating and generating public praise characterization data of the object to be detected according to the public praise data and the average value, the maximum value and the minimum value of the public praise data; and calculating to obtain a credit evaluation value of the object to be detected according to the public opinion characterizing data, the public opinion characterizing data and the influence index.
In an alternative embodiment, the data monitoring module is configured to: acquiring an alarm information-credit evaluation value comparison table; and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value.
In a third aspect, an embodiment provides an electronic device, including: a memory for storing a computer program; a processor configured to perform the method of any of the preceding embodiments.
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 of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an electronic device provided in an embodiment of the present application;
fig. 2 is a schematic diagram of an interaction scenario between a terminal and a server according to an embodiment of the present application;
FIG. 3 is a flow chart of a public opinion alerting method according to an embodiment of the present application;
FIG. 4 is a flowchart of another public opinion alerting method according to an embodiment of the present application;
FIG. 5 is a flowchart of another method for public opinion alerting according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a public opinion alarming device according to an embodiment of the present application.
Icon: the public opinion warning device comprises an electronic device 1, a bus 10, a processor 11, a memory 12, a public opinion warning device 600, a data grabbing module 601, a data acquisition module 602, a characteristic value acquisition module 603, a data calculation module 604 and a data monitoring module 605.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
As shown in fig. 1, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor being exemplified in fig. 1. The processor 11 and the memory 12 are connected via a bus 10, and the memory 12 stores instructions executable by the processor 11, the instructions being executed by the processor 11.
In an embodiment, the electronic device 1 may be a terminal 200, where the terminal 200 obtains various data of an object to be detected from the server 100, calculates the obtained various data according to a locally stored calculation rule, and sends alarm information corresponding to the calculation result according to the calculation result.
As shown in fig. 2, which is an interaction scenario between the terminal 200 and the server 100 in the embodiment of the present application, the terminal 200 may be a mobile device, and the server 100 may be a data storage processing server. The server 100 stores data information such as public opinion data, public praise data, and influence index, which can be used for the object to be detected used by the terminal 200, and the terminal 200 is connected to the server 100 through a communication network. After the terminal 200 obtains the data information from the server 100, it calculates the data information according to the locally stored operation rule or the operation rule from the external storage device, and sends out alarm information according to the calculation result against the pre-stored comparison table.
Please refer to fig. 3, which is a flowchart illustrating a public opinion alert method according to an embodiment of the present application, wherein the method may be executed by the electronic device 1 shown in fig. 1 as a terminal 200 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 301: according to a predefined public opinion data index table, capturing public opinion data of an object to be detected through the Internet.
In this step, an index table is predefined for the terminal 200 to perform data capturing, a database containing one or more phrases is defined for different public opinion risks, and public opinion sounds of the object to be detected in the whole network are captured according to each index target, so that real-time sound threshold early warning is set for different types of risks in advance. In an embodiment, the object to be detected may be an object to be evaluated such as a person, an enterprise, a financial product, etc., and when the object to be detected is a person, the preset range in which the object to be detected is located may be an examination range defined according to the related attribute of the person.
In one embodiment, the object to be detected is a male star, and the predetermined range may be defined as a plurality of male stars. Public opinion data is a negative public opinion of recent appearance of an object to be detected, and includes political risks, illegal crimes, negative news, gender diversification, and the like.
Step 302: and obtaining the public praise data and the influence degree data of the object to be detected.
In this step, the public evaluation score data of the object to be detected on the internet can directly obtain the public evaluation score data from a social network site, such as microblog, bean cotyledon net, skyline net and the like. After the various influence degree data of the object to be detected are obtained, the influence degree index needs to be integrated and calculated, and the influence degree index can represent the influence degree of the object to be detected after public opinion appears.
The influence degree data comprises media influence information, public attention information and fan influence information, and in one embodiment, when the object to be detected is a star, the media influence information is the ratio reported by media in real time on the Internet; the public attention information is a public mention rate and a public attention degree, wherein the public mention rate is the duty ratio of the stars in information released by an internet user in a period of time, and the public attention degree is the duty ratio of the times related to the stars when the internet user browses messages; the vermicelli influence information comprises vermicelli activity and vermicelli looping force, wherein the vermicelli activity is real-time online rate of users who pay attention to the star account number or subscribe to channels related to the star on the Internet, and the vermicelli looping force is the increase rate of the star vermicelli in unit time.
In one embodiment, when the influence data includes a public mention rate, a media influence, a public attention, a vermicelli liveness and a vermicelli force, a product of the public mention rate, the media influence, the public attention, the vermicelli liveness and the vermicelli force is obtained, and the product is weighted to be divided into five times. In one embodiment, the number of times the data is opened is determined by the number of data, five data is opened to the fifth power, and six data is opened to the sixth power.
Step 303: and calculating the credit evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence degree data.
In this step, after the influence degree data is obtained, the public opinion data and the public praise data are subjected to characterization data calculation. And according to the types of the public opinion data, giving different weight ratios according to the risk severity of the public opinion, and calculating each item of public opinion data in a weighted manner to calculate public opinion characterization data.
Step 304: judging whether the credit rating value is larger than a preset value, and sending alarm information corresponding to public opinion data according to a judging result.
In this step, the preset value may include a plurality of continuous numerical intervals, and each numerical interval corresponds to one risk alarm type. And judging a value interval corresponding to the credit evaluation value, acquiring alarm information corresponding to the value interval, and sending the alarm information to the server 100 or the corresponding terminal 200 according to the generated result.
Please refer to fig. 4, which is a flowchart illustrating a public opinion alert method according to an embodiment of the present application, wherein the method may be executed by the electronic device 1 shown in fig. 1 as a terminal 200 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 401: according to a predefined public opinion data index table, capturing public opinion data of an object to be detected through the Internet. See the above embodiments for a detailed description of step 301.
Step 402: and obtaining public praise data and propagation influence data of the object to be detected. See the description of step 302 in the above embodiments for details.
Step 403: and acquiring the characteristic value of public opinion data, the characteristic value of public praise data and the characteristic value of influence data within the preset range of the object to be detected.
In this step, the feature values are used to calculate public opinion characterizing data and public opinion characterizing data of the object to be detected, and in one embodiment, the feature values include an average value, a maximum value, and a minimum value.
Step 404: and calculating and generating public opinion characterization data of the object to be detected according to the weight ratio information of the public opinion data and the characteristic value of the public opinion data.
In the step, various data sound volumes in public opinion data are weighted and calculated according to the weight duty ratio, and then the data sound volumes and the characteristic values are characterized and calculated.
In one embodiment, the public opinion characterizing calculation may use the following formula:
public opinion characterizing value = n × (x-avg)/(max-min) +n ]
Wherein n is the number of the valued objects in the range of the object to be detected, x is the public opinion data of the object to be detected, avg represents the average value of the public opinion data in the valued object, max is the maximum value of the public opinion data in the valued object, and min is the minimum value of the public opinion data in the valued object.
Step 405: and calculating and generating the public praise characterization data of the object to be detected according to the public praise data and the characteristic value of the public praise data.
In this step, the public place characterization calculation may use the following formula:
public praise characterization value = n1 × (x 1-avg 1)/(max 1-min 1) +n1]
Wherein n1 is the number of the object to be detected within the range where the object to be detected is located, x1 is the public praise data of the object to be detected, avg1 represents the average value of the public praise data in the object to be detected, max1 is the maximum value of the public praise data in the object to be detected, and min1 is the minimum value of the public praise data in the object to be detected.
Step 406: and calculating the credit rating value of the object to be detected according to the public opinion characterizing data and the public praise characterizing data and the influence data.
In this step, the credit rating index is calculated by multiplying the sum of public opinion characterizing data and public praise characterizing data by the influence index. And then the reliability evaluation index is processed by using the efficacy coefficient method to obtain a reliability evaluation value.
Step 407: judging whether the credit rating value is larger than a preset value, and sending alarm information corresponding to public opinion data according to a judging result. See the description of step 304 in the above embodiments for details.
Please refer to fig. 5, which is a flowchart illustrating a public opinion alert method according to an embodiment of the present application, wherein the method may be executed by the electronic device 1 shown in fig. 1 as a terminal 200 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 501: according to a predefined public opinion data index table, capturing public opinion data of an object to be detected through the Internet. See the description of step 301 in the above embodiments for details.
Step 502: and obtaining public praise data and propagation influence data of the object to be detected. See the description of step 302 in the above embodiments for details.
Step 503: and calculating the credit evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence index. See for details the description of step 303 in the above embodiments.
Step 504: and acquiring an alarm information-credit evaluation value comparison table.
In this step, the alarm information-credit evaluation value comparison table may be stored in the server 100, an external storage device, or a memory in advance. The comparison table can be a plurality of continuous numerical intervals, and each numerical interval corresponds to one risk alarm type.
Step 505: and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value.
In the step, a numerical value interval on a comparison table corresponding to the credit evaluation value is judged, alarm information corresponding to the numerical value interval is obtained, and the process of public opinion alarm is completed.
Referring to fig. 6, an embodiment of a public opinion alarming device 600 according to the present application is shown, and the public opinion alarming device 600 may be applied to the electronic apparatus 1 shown in fig. 1 to obtain public opinion data and other information of an object to be detected, monitor credit risk of the object to be detected, and send an alarm. The public opinion alert device 600 includes: the device comprises a data grabbing module 601, a data acquisition module 602, a characteristic value acquisition module 603, a data calculation module 604 and a data monitoring module 605. The principle relation of each module is as follows:
the data capturing module 601 is configured to capture public opinion data of an object to be detected via the internet according to a predefined public opinion data index table.
The data acquisition module 602 is configured to acquire public praise data and propagation affecting data of an object to be detected.
The feature value obtaining module 603 is configured to obtain a feature value of public opinion data, a feature value of public praise data, and a feature value of propagation influence data within a preset range where an object to be detected is located.
The data calculating module 604 is configured to calculate a credit rating value of the object to be detected according to the public opinion data, the public praise data and the influence degree data.
The data monitoring module 605 is configured to determine whether the confidence rating value is greater than a preset value, and send out alarm information corresponding to public opinion data according to the determination result.
In an embodiment, the data calculating module 604 is configured to calculate and generate public opinion characterizing data of the object to be detected according to the weight ratio information of the public opinion data and the feature value of the public opinion data; calculating and generating public praise characterization data of the object to be detected according to the public praise data and the average value, the maximum value and the minimum value of the public praise data; and calculating to obtain a credit evaluation value of the object to be detected according to the public opinion characterizing data, the public opinion characterizing data and the influence index. See the description of steps 404-406 in the above embodiments for details.
In one embodiment, the data monitoring module 605 is configured to obtain an alarm information-credit evaluation value comparison table; and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value. See in detail the description of steps 504-505 in the above embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method 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.
Further, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed over 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.
Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this 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, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM) random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and variations will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. A public opinion alerting method, comprising:
capturing public opinion data of an object to be detected by the Internet according to a predefined public opinion data index table;
obtaining public praise data and influence degree data of the object to be detected;
calculating a credit evaluation value of the object to be detected according to the public opinion data, the public opinion data and the influence data;
judging whether the credit rating value is larger than a preset value or not, and sending alarm information corresponding to the public opinion data according to a judging result;
after the obtaining of the public praise data and the influence data of the object to be detected, the method further comprises:
acquiring the characteristic value of the public opinion data, the characteristic value of the public praise data and the characteristic value of the influence data in a preset range of the object to be detected;
the calculating the credit rating value of the object to be detected according to the public opinion data, the public praise data and the influence data comprises the following steps:
according to the weight ratio information of the public opinion data and the characteristic value of the public opinion data, calculating and generating public opinion characterization data of the object to be detected; wherein, public opinion characterizing data is calculated through the following formula;
public opinion characterizing data = n × (x-avg)/(max-min) +n ]
n represents the number of valued objects in the range of the object to be detected, and x represents the public opinion data of the object to be detected; avg represents the average value of public opinion data in the valued objects; max represents the maximum value of public opinion data in the valued object; min represents the minimum value of public opinion data in the valued object;
calculating and generating the public praise characterization data of the object to be detected according to the public praise data and the characteristic value of the public praise data; wherein the public praise characterization data is calculated by the following formula;
public praise characterization data = n1 × (x 1-avg 1)/(max 1-min 1) +n1]
n1 represents the number of valued objects in the range of the object to be detected; x1 represents public praise data of an object to be detected; avg1 represents an average value of the public praise data in the value object; max1 represents the maximum value of the public praise data in the valued object; min1 represents the minimum value of the public praise data in the value object;
calculating to obtain a credit rating value of the object to be detected according to the public opinion characterizing data and the influence data;
the calculating, according to the public opinion characterizing data and the public opinion characterizing data, the influence data to obtain the credit rating value of the object to be detected, includes:
performing product operation on the sum of the public opinion characterizing data and the public praise characterizing data and the influence data to obtain a credibility evaluation index;
and processing the credit rating index by using a efficacy coefficient method to obtain the credit rating value.
2. The method of claim 1, wherein the influence data comprises: and one or more of media influence information, public attention information and fan influence information of the object to be detected.
3. The method of claim 2, wherein the determining whether the confidence rating value is greater than a preset value, and issuing warning information corresponding to the public opinion data according to the determination result, comprises:
acquiring an alarm information-credit evaluation value comparison table;
and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value.
4. A public opinion alert device, comprising:
the data grabbing module is used for grabbing public opinion data of an object to be detected through the Internet according to a predefined public opinion data index table;
the data acquisition module is used for acquiring the public praise data and the influence degree data of the object to be detected;
the data calculation module is used for calculating the credit evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence data;
the data monitoring module is used for judging whether the credit rating value is larger than a preset value or not and sending alarm information corresponding to the public opinion data according to a judging result;
the characteristic value acquisition module is used for acquiring the characteristic value of the public opinion data, the characteristic value of the public praise data and the characteristic value of the influence data in the preset range where the object to be detected is located;
the data calculation module is further configured to:
according to the weight ratio information of the public opinion data and the characteristic value of the public opinion data, calculating and generating public opinion characterization data of the object to be detected; wherein, public opinion characterizing data is calculated through the following formula;
public opinion characterizing data = n × (x-avg)/(max-min) +n ]
n represents the number of valued objects in the range of the object to be detected, and x represents the public opinion data of the object to be detected; avg represents the average value of public opinion data in the valued objects; max represents the maximum value of public opinion data in the valued object; min represents the minimum value of public opinion data in the valued object;
calculating and generating the public praise characterization data of the object to be detected according to the public praise data and the characteristic value of the public praise data; wherein the public praise characterization data is calculated by the following formula;
public praise characterization data = n1 × (x 1-avg 1)/(max 1-min 1) +n1]
n1 represents the number of valued objects in the range of the object to be detected; x1 represents public praise data of an object to be detected; avg1 represents an average value of the public praise data in the value object; max1 represents the maximum value of the public praise data in the valued object; min1 represents the minimum value of the public praise data in the value object;
calculating to obtain a credit rating value of the object to be detected according to the public opinion characterizing data and the influence data;
the data calculation module is further configured to:
performing product operation on the sum of the public opinion characterizing data and the public praise characterizing data and the influence data to obtain a credibility evaluation index;
and processing the credit rating index by using a efficacy coefficient method to obtain the credit rating value.
5. The apparatus of claim 4, wherein the data monitoring module is configured to:
acquiring an alarm information-credit evaluation value comparison table;
and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value.
6. An electronic device, comprising:
a memory for storing a computer program;
a processor for performing the method of any one of claims 1 to 3.
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| CN202010008958.0A CN111209465B (en) | 2020-01-03 | 2020-01-03 | Public opinion alarming method and device and electronic equipment |
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