CN111209465A - Public opinion warning method and device and electronic equipment - Google Patents
Public opinion warning method and device and electronic equipment Download PDFInfo
- Publication number
- CN111209465A CN111209465A CN202010008958.0A CN202010008958A CN111209465A CN 111209465 A CN111209465 A CN 111209465A CN 202010008958 A CN202010008958 A CN 202010008958A CN 111209465 A CN111209465 A CN 111209465A
- Authority
- CN
- China
- Prior art keywords
- data
- public
- detected
- public opinion
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000011156 evaluation Methods 0.000 claims abstract description 48
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 238000012512 characterization method Methods 0.000 claims description 25
- 238000004364 calculation method Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 2
- 239000004575 stone Substances 0.000 claims 1
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 7
- 244000046052 Phaseolus vulgaris Species 0.000 description 7
- 238000004891 communication Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000002452 interceptive effect Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9536—Search customisation based on social or collaborative filtering
-
- 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Finance (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a public opinion warning method, a public opinion warning device and electronic equipment. The public opinion warning method comprises the following steps: capturing public sentiment data of an object to be detected by the Internet according to a predefined public sentiment data index table; acquiring 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 data; and judging whether the credit evaluation value is greater than a preset value or not, and sending out alarm information corresponding to public opinion data according to a judgment result. The method is used for monitoring the credit risk and sending out an alarm.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a public opinion warning method, a public opinion warning device and electronic equipment.
Background
At present, brand publicity has become one of the main means of marketing at present, and by virtue of its unique charm and calling power, star has a great influence on the aspects of modeling enterprise brand image, enhancing brand recognition, and expanding brand influence.
However, in recent years, negative news such as drug absorption of some stars not only bring disadvantages to career of the stars themselves, but also have negative effects on the image of the symbolic brands of the stars, and brand owners need to make timely trade-off between advantages and disadvantages when dealing with the problems. Due to the complexity of social environment, the risk of the stars is determined by multi-dimensional index information.
Disclosure of Invention
An object of the embodiments of the present application is to provide a public opinion warning method, device and electronic device, so as to implement how to monitor credit risk and send a warning.
In a first aspect, an embodiment provides a public opinion warning method, including: capturing public sentiment data of an object to be detected by the Internet according to a predefined public sentiment data index table; acquiring 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 data; and judging whether the credit evaluation value is greater than a preset value or not, and sending out alarm information corresponding to public opinion data according to a judgment result.
In an alternative embodiment, the impact data includes: and one or more of media influence information, public concern information and fan influence information of the object to be detected.
In an alternative embodiment, after acquiring the word-of-mouth data and the influence data of the object to be detected, the method further includes: and acquiring the characteristic value of public sentiment data, the characteristic value of public praise data and the characteristic value of influence data within a preset range of the object to be detected.
In an alternative embodiment, the confidence calculation is performed according to the public opinion data, the public word data and the influence data, and the confidence evaluation value is generated, and the method comprises the following steps: calculating and generating public opinion representation data of the object to be detected according to the weight proportion information of the public opinion data and the characteristic value of the public opinion data; according to the word-of-mouth data and the feature value of the word-of-mouth data, word-of-mouth characterization data of the object to be detected are calculated and generated; and calculating to obtain a credibility evaluation value of the object to be detected according to the public opinion characterization data, public opinion characterization data and public praise characterization data and the influence degree index.
In an optional embodiment, determining whether the credit evaluation value is greater than a preset value, and issuing an alarm 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 warning device, including: the data grabbing module is used for grabbing the public sentiment data of the object to be detected through the Internet according to a predefined public sentiment 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 the credit evaluation value of the object to be detected according to the public sentiment data, the public praise data and the influence degree data; and the data monitoring module is used for judging whether the credit evaluation value is greater than a preset value or not and sending out alarm information corresponding to the public sentiment data according to the judgment result.
In an alternative embodiment, the apparatus further comprises: and the characteristic value acquisition module is used for acquiring the characteristic value of the public sentiment data, the characteristic value of the public praise data and the characteristic value of the propagation influence data in the preset range of the object to be detected.
In an alternative embodiment, the data calculation module is configured to: calculating and generating public opinion representation data of the object to be detected according to the weight proportion information of the public opinion data and the characteristic value of the public opinion data; calculating to generate word-of-mouth representation data of the object to be detected according to the word-of-mouth data and the average value, the maximum value and the minimum value of the word-of-mouth data; and calculating to obtain a credibility evaluation value of the object to be detected according to the public opinion characterization data, public opinion characterization data and public praise characterization data and the influence degree 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 to store 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 required to be used 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 therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is an electronic device according to an embodiment of the present disclosure;
fig. 2 is a schematic view of an interaction scenario between a terminal and a server according to an embodiment of the present application;
fig. 3 is a schematic flow chart illustrating a public opinion alerting method according to an embodiment of the present application;
fig. 4 is a flowchart illustrating another public opinion alerting method according to an embodiment of the present application;
fig. 5 is a flowchart illustrating another public opinion alerting method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a public opinion warning device according to an embodiment of the present application.
Icon: the public opinion warning system comprises electronic equipment 1, a bus 10, a processor 11, a memory 12, a public opinion warning device 600, a data capturing module 601, a data obtaining module 602, a characteristic value obtaining module 603, a data calculating 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 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 by a bus 10, and the memory 12 stores instructions executable by the processor 11 and the instructions are executed by the processor 11.
In an embodiment, the electronic device 1 may be a terminal 200, and the terminal 200 acquires various items of data of the object to be detected from the server 100, calculates the acquired various items of 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 schematic scenario of 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 public sentiment data, word of mouth data, and data information such as influence index of the object to be detected, which can be used by the terminal 200, and the terminal 200 and the server 100 are connected through a communication network. After acquiring the data information from the server 100, the terminal 200 calculates the data information according to the locally stored operation rule or the operation rule acquired from the external storage device, and sends out the alarm information according to the calculation result by referring to the pre-stored reference table.
Please refer to fig. 3, which is a flowchart illustrating a public opinion alerting method according to an embodiment of the present application, where the method can be executed by the electronic device 1 shown in fig. 1 as a terminal 200 and used in the interactive scenario shown in fig. 2, and the method includes the following steps:
step 301: and capturing the public sentiment data of the object to be detected by the Internet according to a predefined public sentiment data index table.
In this step, an index table for the terminal 200 to capture data is predefined, a database containing one or more phrases is defined for different public opinion risks, and public opinion sound volume of the object to be detected in the whole network is captured according to each index target, so that real-time sound volume 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, and the like, 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 attributes of the person.
In one embodiment, the object to be detected is a male star, and the predetermined range can be defined as a plurality of male stars. The public opinion data is negative public opinion recently appearing in the object to be detected, and comprises political risks, illegal crimes, negative news, sex diversification and the like.
Step 302: public praise data and influence data of the object to be detected are obtained.
In this step, the public praise data is evaluation score data of the object to be detected by the public on the internet, and can be directly obtained from social websites, such as microblog, bean networks, and skyline networks. After obtaining each influence degree data of the object to be detected, the influence degree index needs to be integrated and calculated, and the influence degree index can represent the degree of influence generated after the object to be detected has public sentiment.
The influence 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 on the internet in real time; the public concern information is public mention rate and public concern degree, the public mention rate is the percentage of the star mentioned in the information released by the internet user in a period of time, and the public concern degree is the percentage of the times of browsing the information related to the star when the internet user browses the information; the bean vermicelli influence information comprises bean vermicelli liveness and bean vermicelli power, wherein the bean vermicelli liveness is the real-time online rate of a user who pays attention to the star account or subscribes to a channel related to the star on the Internet, and the bean vermicelli power is the growth rate of the star bean vermicelli in unit time.
In one embodiment, when the influence data includes the public mentioning rate, the media influence, the public attention, the vermicelli liveness and the vermicelli looping power, the product of the public mentioning rate, the media influence, the public attention, the vermicelli liveness and the vermicelli looping power is obtained, and the product is weighted to be divided into five parties. In one embodiment, the number of evolution is determined by the number of data, five data are evolved to the fifth power, and six data are evolved 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 data.
In the step, after the influence degree data is obtained, public sentiment data and public praise data are subjected to representation data calculation. According to the type of the public opinion data, different weight ratios are given according to the risk severity of the public opinion, and all the public opinion data are weighted and calculated to calculate the public opinion representation data.
Step 304: and judging whether the credit evaluation value is greater than a preset value or not, and sending out alarm information corresponding to public opinion data according to a judgment result.
In this step, the preset value may include a plurality of consecutive value intervals, and each value interval corresponds to one risk alarm type. And judging a numerical value interval corresponding to the credit rating value, acquiring alarm information corresponding to the numerical value interval, and sending the alarm information to the server 100 or the corresponding terminal 200 according to a generated result.
Please refer to fig. 4, which is a flowchart illustrating a public opinion alerting method according to an embodiment of the present application, where the method can be executed by the electronic device 1 shown in fig. 1 as a terminal 200 and used in the interactive scenario shown in fig. 2, and the method includes the following steps:
step 401: and capturing the public sentiment data of the object to be detected by the Internet according to a predefined public sentiment data index table. See the above embodiments for details on the description of step 301.
Step 402: public praise data and propagation influence data of the object to be detected are obtained. See the description of step 302 in the above embodiments for details.
Step 403: and acquiring the characteristic value of public sentiment data, the characteristic value of public praise data and the characteristic value of influence data within a preset range of the object to be detected.
In this step, the feature values are used to calculate public sentiment characterization data and public praise characterization 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 representation data of the object to be detected according to the weight proportion information of the public opinion data and the characteristic value of the public opinion data.
In the step, various data sound volumes in public sentiment data are calculated in a weighted mode according to the weight ratio, and then the data sound volumes and the characteristic values are subjected to representation calculation.
In one embodiment, the public sentiment representation calculation may use the following formula:
public opinion characterization value n (x-avg)/[ (max-min) + n ]
The number of the value-taking objects in the range of the object to be detected is n, the number of the value-taking objects is x, the public sentiment data of the object to be detected is max, the maximum value of the public sentiment data in the value-taking objects is max, and the minimum value of the public sentiment data in the value-taking objects is min.
Step 405: and calculating to generate word-of-mouth representation data of the object to be detected according to the word-of-mouth data and the feature value of the word-of-mouth data.
In this step, the word of mouth characterization calculation may use the following formula:
word-of-mouth characterization value n (x-avg)/[ (max-min) + n ]
Wherein n is the number of the value-taking objects in the range of the object to be detected, x is the public praise data of the object to be detected, max is the maximum value of the public praise data in the value-taking object, and min is the minimum value of the public praise data in the value-taking object.
Step 406: and calculating to obtain the credit evaluation value of the object to be detected according to the public opinion characterization data, public praise characterization data and influence data.
In this step, the product of the sum of the public opinion characterization data and the public praise characterization data and the influence degree index is calculated to obtain the credit degree evaluation index. And processing the credit evaluation index by using an efficacy coefficient method to obtain a credit evaluation value.
Step 407: and judging whether the credit evaluation value is greater than a preset value or not, and sending out alarm information corresponding to public opinion data according to a judgment result. Reference is made in detail to the description of step 304 in the above embodiment.
Please refer to fig. 5, which is a flowchart illustrating a public opinion alerting method according to an embodiment of the present application, where the method can be executed by the electronic device 1 shown in fig. 1 as a terminal 200 and used in the interactive scenario shown in fig. 2, and the method includes the following steps:
step 501: and capturing the public sentiment data of the object to be detected by the Internet according to a predefined public sentiment data index table. See the description of step 301 in the above embodiments for details.
Step 502: public praise data and propagation influence data of the object to be detected are obtained. 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 the description of step 303 in the above embodiments for details.
Step 504: and acquiring a comparison table of alarm information and credit evaluation value.
In this step, the alarm information-credit evaluation value comparison table may be stored in advance in the server 100, an external storage device, or a memory. The comparison table may be a plurality of continuous value intervals, and each value 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 this step, the numerical range on the comparison table corresponding to the credit rating value is judged, the alarm information corresponding to the numerical range is obtained, and the public opinion alarm process is completed.
Please refer to fig. 6, which is a public opinion warning device 600 according to an embodiment of the present application, wherein the public opinion warning device 600 can be applied to the electronic device 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 a warning. Public opinion alarm device 600 includes: the system comprises a data capturing module 601, a data acquiring module 602, a characteristic value acquiring module 603, a data calculating module 604 and a data monitoring module 605. The principle relationship of the modules is as follows:
the data capturing module 601 is configured to capture public sentiment data of an object to be detected through the internet according to a predefined public sentiment data index table.
The data acquisition module 602 is configured to acquire public praise data and propagation influence data of the object to be detected.
The feature value obtaining module 603 is configured to obtain a feature value of public sentiment data, a feature value of public praise data, and a feature value of propagation influence data within a preset range where the object to be detected is located.
The data calculating module 604 is configured to calculate a credit evaluation value of the object to be detected according to the public sentiment data, the public praise data, and the influence data.
The data monitoring module 605 is configured to determine whether the credit evaluation value is greater than a preset value, and send an alarm message corresponding to the public opinion data according to the determination result.
In an embodiment, the data calculating module 604 is configured to calculate and generate public sentiment representation data of the object to be detected according to the weight ratio information of the public sentiment data and the characteristic value of the public sentiment data; calculating to generate word-of-mouth representation data of the object to be detected according to the word-of-mouth data and the average value, the maximum value and the minimum value of the word-of-mouth data; and calculating to obtain a credibility evaluation value of the object to be detected according to the public opinion characterization data, public opinion characterization data and public praise characterization data and the influence degree index. See the above embodiments for details of steps 404 and 406.
In one embodiment, the data monitoring module 605 is configured to obtain a comparison table of the alarm information and the credit evaluation value; and generating alarm information according to the alarm information-credit evaluation value comparison table and the credit evaluation value. See the description of step 504-505 in the above embodiments for details.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
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 changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A public opinion warning method is characterized by comprising the following steps:
capturing public sentiment data of an object to be detected by the Internet according to a predefined public sentiment data index table;
acquiring public praise data and influence data of the object to be detected;
calculating a credibility evaluation value of the object to be detected according to the public opinion data, the public praise data and the influence data;
and judging whether the credit evaluation value is greater than a preset value or not, and sending out alarm information corresponding to the public opinion data according to a judgment result.
2. The method of claim 1, wherein the influence volume data comprises: and one or more of media influence information, public concern information and fan influence information of the object to be detected.
3. The method according to claim 1, further comprising, after the acquiring the word-of-mouth data and the propagation influence data of the object to be detected:
and acquiring the characteristic value of the public opinion data, the characteristic value of the public opinion data and the characteristic value of the public stone data and the characteristic value of the propagation influence data in a preset range of the object to be detected.
4. The method of claim 2, wherein the performing a credit calculation based on the public opinion data, the public praise data, and the influence index to generate a credit assessment value comprises:
calculating and generating public opinion representation data of the object to be detected according to the weight proportion information of the public opinion data and the characteristic value of the public opinion data;
according to the word-of-mouth data and the feature value of the word-of-mouth data, word-of-mouth characterization data of the object to be detected are calculated and generated;
and calculating to obtain the credit evaluation value of the object to be detected according to the public opinion characterization data, the public opinion characterization data and the influence degree data.
5. The method of claim 2, wherein the determining whether the credit evaluation value is greater than a preset value and issuing an alarm 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.
6. A public opinion warning device, its characterized in that includes:
the data grabbing module is used for grabbing the public sentiment data of the object to be detected through the Internet according to a predefined public sentiment 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 the credit evaluation value of the object to be detected according to the public sentiment data, the public praise data and the influence data;
and the data monitoring module is used for judging whether the credit evaluation value is greater than a preset value or not and sending out alarm information corresponding to the public opinion data according to a judgment result.
7. The apparatus of claim 6, further comprising:
and 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 propagation influence data in a preset range of the object to be detected.
8. The apparatus of claim 7, wherein the data computation module is configured to:
calculating and generating public opinion representation data of the object to be detected according to the weight proportion information of the public opinion data and the characteristic value of the public opinion data;
calculating and generating word-of-mouth representation data of the object to be detected according to the word-of-mouth data and the average value, the maximum value and the minimum value of the word-of-mouth data;
and calculating to obtain a credit evaluation value of the object to be detected according to the public opinion characterization data, the public opinion characterization data and the public praise characterization data and the influence index.
9. The apparatus of claim 7, 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.
10. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010008958.0A CN111209465B (en) | 2020-01-03 | 2020-01-03 | Public opinion alarming method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010008958.0A CN111209465B (en) | 2020-01-03 | 2020-01-03 | Public opinion alarming method and device and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111209465A true CN111209465A (en) | 2020-05-29 |
| CN111209465B CN111209465B (en) | 2023-11-07 |
Family
ID=70788400
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010008958.0A Active CN111209465B (en) | 2020-01-03 | 2020-01-03 | Public opinion alarming method and device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111209465B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784492A (en) * | 2020-07-10 | 2020-10-16 | 讯飞智元信息科技有限公司 | Public opinion analysis and financial early warning method, device, electronic equipment and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003271607A (en) * | 2002-03-15 | 2003-09-26 | Hitachi Ltd | Method and device for providing word-of-mouth information |
| KR20060098671A (en) * | 2005-03-03 | 2006-09-19 | 주식회사 휘닉스커뮤니케이션즈 | Public opinion research system using internet network and its method |
| CN103488635A (en) * | 2012-06-11 | 2014-01-01 | 腾讯科技（深圳）有限公司 | Method and device for acquiring product information |
| CN104572807A (en) * | 2014-10-29 | 2015-04-29 | 中国科学院计算技术研究所 | News authentication method and news authentication system based on microblog information source |
| CN105095179A (en) * | 2014-05-14 | 2015-11-25 | 腾讯科技（深圳）有限公司 | User evaluation processing method and apparatus |
| CN105787073A (en) * | 2016-03-02 | 2016-07-20 | 上海源庐加佳信息科技有限公司 | Enterprise credit assessment method based on big data mining technology |
| CN106294483A (en) * | 2015-06-04 | 2017-01-04 | 北京国双科技有限公司 | For mating data processing method and the device of mouthpiece for product brand |
| CN107704513A (en) * | 2017-08-31 | 2018-02-16 | 四川长虹电器股份有限公司 | A kind of network public-opinion monitoring method and system |
| CN108564495A (en) * | 2018-03-08 | 2018-09-21 | 深圳市鹰硕技术有限公司 | Web-based instruction attention rate appraisal procedure and device |
| CN108932291A (en) * | 2018-05-23 | 2018-12-04 | 福建亿榕信息技术有限公司 | Power grid public sentiment evaluation method, storage medium and computer |
| CN109145216A (en) * | 2018-08-29 | 2019-01-04 | 中国平安保险(集团)股份有限公司 | Network public-opinion monitoring method, device and storage medium |
| JP2019008426A (en) * | 2017-06-21 | 2019-01-17 | ヤフー株式会社 | Commodities evaluation device, commodities evaluation method and program |
| CN109634792A (en) * | 2018-12-06 | 2019-04-16 | 中国电子科技集团公司第十五研究所 | A kind of server hardware test platform system based on cloud computing |
| CN109800960A (en) * | 2018-12-26 | 2019-05-24 | 北京中科闻歌科技股份有限公司 | A kind of brand combined influence degree appraisal procedure, system and storage medium |
| CN110020942A (en) * | 2019-04-12 | 2019-07-16 | 中电科大数据研究院有限公司 | Method for early warning, device, equipment and the storage medium of credit risk |
-
2020
- 2020-01-03 CN CN202010008958.0A patent/CN111209465B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003271607A (en) * | 2002-03-15 | 2003-09-26 | Hitachi Ltd | Method and device for providing word-of-mouth information |
| KR20060098671A (en) * | 2005-03-03 | 2006-09-19 | 주식회사 휘닉스커뮤니케이션즈 | Public opinion research system using internet network and its method |
| CN103488635A (en) * | 2012-06-11 | 2014-01-01 | 腾讯科技（深圳）有限公司 | Method and device for acquiring product information |
| CN105095179A (en) * | 2014-05-14 | 2015-11-25 | 腾讯科技（深圳）有限公司 | User evaluation processing method and apparatus |
| CN104572807A (en) * | 2014-10-29 | 2015-04-29 | 中国科学院计算技术研究所 | News authentication method and news authentication system based on microblog information source |
| CN106294483A (en) * | 2015-06-04 | 2017-01-04 | 北京国双科技有限公司 | For mating data processing method and the device of mouthpiece for product brand |
| CN105787073A (en) * | 2016-03-02 | 2016-07-20 | 上海源庐加佳信息科技有限公司 | Enterprise credit assessment method based on big data mining technology |
| JP2019008426A (en) * | 2017-06-21 | 2019-01-17 | ヤフー株式会社 | Commodities evaluation device, commodities evaluation method and program |
| CN107704513A (en) * | 2017-08-31 | 2018-02-16 | 四川长虹电器股份有限公司 | A kind of network public-opinion monitoring method and system |
| CN108564495A (en) * | 2018-03-08 | 2018-09-21 | 深圳市鹰硕技术有限公司 | Web-based instruction attention rate appraisal procedure and device |
| CN108932291A (en) * | 2018-05-23 | 2018-12-04 | 福建亿榕信息技术有限公司 | Power grid public sentiment evaluation method, storage medium and computer |
| CN109145216A (en) * | 2018-08-29 | 2019-01-04 | 中国平安保险(集团)股份有限公司 | Network public-opinion monitoring method, device and storage medium |
| CN109634792A (en) * | 2018-12-06 | 2019-04-16 | 中国电子科技集团公司第十五研究所 | A kind of server hardware test platform system based on cloud computing |
| CN109800960A (en) * | 2018-12-26 | 2019-05-24 | 北京中科闻歌科技股份有限公司 | A kind of brand combined influence degree appraisal procedure, system and storage medium |
| CN110020942A (en) * | 2019-04-12 | 2019-07-16 | 中电科大数据研究院有限公司 | Method for early warning, device, equipment and the storage medium of credit risk |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784492A (en) * | 2020-07-10 | 2020-10-16 | 讯飞智元信息科技有限公司 | Public opinion analysis and financial early warning method, device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111209465B (en) | 2023-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10121175B2 (en) | Instant messaging robot to provide product information | |
| KR102127039B1 (en) | Interactive data processing method and apparatus using same | |
| US11290413B2 (en) | Trend detection for content targeting using an information distribution system | |
| WO2019020095A1 (en) | Merchant evaluation method and system | |
| CN106919579B (en) | Information processing method, device and equipment | |
| JP6259568B2 (en) | Social network service system for recommending friends of friends based on intimacy between users and method for providing the same | |
| EP3370169A1 (en) | Method and apparatus for identifying network access behavior, server, and storage medium | |
| CN106656996B (en) | Information security risk assessment method | |
| US20210049721A1 (en) | User security awareness detection method and apparatus | |
| WO2008134184A1 (en) | System for scoring click traffic | |
| WO2016097998A1 (en) | System for and method for detection of insider threats | |
| US20100161603A1 (en) | Grouping methods for best-value determination from values for an attribute type of specific entity | |
| US20210209307A1 (en) | Interactive visual dashboard for implementing sentiment analysis based on social media data | |
| CN111489290A (en) | Face image super-resolution reconstruction method and device and terminal equipment | |
| CN111461827A (en) | Product evaluation information pushing method and device | |
| CN110210886B (en) | Method, apparatus, server, readable storage medium, and system for identifying false operation | |
| CN108898308A (en) | Methods of risk assessment, device, server and readable storage medium storing program for executing | |
| CN107656918A (en) | Obtain the method and device of targeted customer | |
| Whittaker et al. | “I have only checked after the event”: Consumer approaches to safe online shopping | |
| CN111209465A (en) | Public opinion warning method and device and electronic equipment | |
| CN110737702A (en) | Social relationship analysis method and device, computer equipment and readable storage medium | |
| JP6534255B2 (en) | Fraudulent transaction detection system | |
| US11316881B2 (en) | Just short of identity analysis | |
| US10362127B2 (en) | Procuring feedback | |
| CN105007212B (en) | The methods of exhibiting and device of message feedback item in social network message issue |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201224 Address after: A108, 1 / F, curling hall, winter training center, 68 Shijingshan Road, Shijingshan District, Beijing 100041 Applicant after: Beijing second hand Artificial Intelligence Technology Co.,Ltd. Address before: Room 9014, 9 / F, building 3, yard 30, Shixing street, Shijingshan District, Beijing Applicant before: ADMASTER TECHNOLOGY (BEIJING) Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |