CN115309815A - Network public opinion monitoring system and method based on big data - Google Patents
Network public opinion monitoring system and method based on big data Download PDFInfo
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Abstract
The invention discloses an online public opinion monitoring system and method based on big data, and relates to the technical field of online public opinion monitoring. According to the invention, the click data processing unit, the comment data processing unit and the forwarding data processing unit are used for processing click data, comment data and forwarding data of network contents with negative influences, click growth rate, comment growth rate and forwarding growth rate are calculated, public opinion propagation rate is calculated according to the click growth rate, the comment growth rate and the forwarding growth rate, the public opinion propagation rate is divided into three public opinion propagation conditions according to public opinion propagation rate values, a warning module is used for carrying out three-level warning on different public opinion propagation conditions, and three different public opinion processing are carried out, the public opinion propagation rate can be calculated according to real-time analysis processing of the network content data, the public opinion propagation heat of the network contents can be conveniently mastered, and the effect of efficiently controlling the public opinion propagation is achieved.
Description
Technical Field
The invention relates to the technical field of network public opinion monitoring, in particular to a network public opinion monitoring system and method based on big data.
Background
The network public opinion refers to the spreading condition of the content published on the network to the public opinion, and the network public opinion monitoring refers to the behavior of monitoring and predicting the public opinion and opinion on the internet.
In the prior art, an online public opinion monitoring system usually monitors online public opinions to display public opinion development, but generally directly displays public opinion development conditions, and cannot carry out real-time high-efficiency analysis on public opinion transmission rate of network contents, so that the efficiency of controlling public opinion transmission is low.
Disclosure of Invention
The invention aims to provide a big data-based network public opinion monitoring system and a big data-based network public opinion monitoring method, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a network public opinion monitoring system and method based on big data comprises a cloud computing platform, a public opinion information screening module, a data acquisition module, a data processing module, an alarm module, a publisher tracking module, an intelligent terminal and a database, wherein the cloud computing platform is used for carrying out platform-type computing analysis and management on the network public opinion monitoring system, the public opinion information screening module is used for screening keywords and negative influences on network content, the data acquisition module is used for collecting click data, comment data and forwarding data of the network content with the negative influences, the data processing module is used for carrying out analysis calculation processing on the click data, the comment data and the forwarding data, the alarm module is used for carrying out graded alarm on the network content with the negative influences according to the propagation rate, the publisher tracking module is used for tracking the network content publishers with the negative influences, the intelligent terminal is used for inputting system parameters, the keywords, display system data, information and voice alarm broadcasting, and the database is used for storing and providing data of the network public opinion monitoring system;
the input of cloud computing platform is connected with the output of public opinion information screening module, data acquisition module, data processing module, warning module, publisher tracking module, intelligent terminal and database respectively, the output of cloud computing platform is connected with the input of public opinion information screening module, data acquisition module, data processing module, warning module, publisher tracking module, intelligent terminal and database respectively.
Further, the cloud computing platform comprises a data receiving and sending unit, a central processing unit and a storage unit, wherein the data receiving and sending unit is used for receiving and sending system data and information, the central processing unit is used for integrating, analyzing and processing the data, and the storage unit is used for temporarily storing the data.
Furthermore, the public opinion information screening module comprises a keyword retrieval unit and a negative influence judgment unit, wherein the keyword retrieval unit is used for retrieving and screening out network contents containing corresponding keywords, and the negative influence judgment unit is used for judging negative influences of the network contents containing the keywords and screening out the network contents with negative influences.
Further, the data acquisition module comprises a click data acquisition unit, a comment data acquisition unit and a forwarding data acquisition unit, wherein the click data acquisition unit is used for acquiring click data of network contents with negative influences, the comment data acquisition unit is used for acquiring comment data of the network contents with negative influences, and the forwarding data acquisition unit is used for acquiring forwarding data of the network contents with negative influences.
Further, the data processing module comprises a click data processing unit, a comment data processing unit and a forwarding data processing unit, wherein the click data processing unit is used for analyzing and calculating click data of the network content with negative influence and calculating a click growth rate, the comment data processing unit is used for analyzing and calculating comment data of the network content with negative influence and calculating a comment growth rate, and the forwarding data processing unit is used for analyzing and calculating forwarding data of the network content with negative influence and calculating a forwarding growth rate.
Further, the module of warning includes one-level unit, second grade unit and the tertiary unit of warning, the one-level unit of warning is used for carrying out the one-level to the lower network content of public opinion spreading rate and warns, the second grade unit of warning is used for carrying out the second grade to the network content that public opinion spreading rate is medium and warns, the tertiary unit of warning is used for carrying out the tertiary warning to the higher network content of public opinion spreading rate.
Further, the publisher tracking module comprises an address obtaining unit and an identity obtaining unit, wherein the address obtaining unit is used for obtaining the internet address of the network content publisher with higher public opinion propagation rate, and the identity obtaining unit is used for obtaining the identity information of the network content publisher with higher public opinion propagation rate.
Furthermore, the intelligent terminal comprises an input unit, a display unit and a voice unit, wherein the input unit is used for controlling system parameters and inputting keywords, the display unit is used for displaying system data and information, and the voice unit is used for voice broadcasting and warning.
The invention also provides an online public opinion monitoring method of the online public opinion monitoring system based on big data, which comprises the following steps:
s1: starting a system through an intelligent terminal, controlling and managing the system, and inputting keywords to set the keywords in the system;
s2: searching and screening out the network content containing the keywords through a public opinion information screening module, and judging the negative influence of the network content containing the keywords to screen out the network content with the negative influence;
s3: the method comprises the steps that click data, comment data and forwarding data of network content with negative influences are collected through a data collection module, the click data, the comment data and the forwarding data are analyzed, calculated and processed through a data processing module, click growth rate, comment growth rate and forwarding growth rate are calculated, and public opinion propagation rate is calculated according to the click growth rate, the comment growth rate and the forwarding growth rate;
s4: and obtaining the public opinion transmission rate with negative influence content, carrying out classification processing, and carrying out three-level warning on different public opinion transmission rates through a warning module.
Further, in the step S3, in the process of processing the data, the click data is a i Comment data is b i Forwarding data as c i ；
With the comment data of the network content having a negative influence every five minutes as one reference, the comment data set a = { a = { a = 1 ， a 2 ...a n And calculating the comment growth rate as follows:
the comment data set C = { b } on the basis of comment data of network contents having negative influence every five minutes 1 ， b 2 ...b n And calculating the comment growth rate as follows:
on the basis of forwarding data of every five minutes of network contents having negative influence, the forwarding data set C = { C = 1 ， c 2 ...c n And calculating the comment growth rate as follows:
calculating public opinion spreading rate as follows: l = I +2J + K;
in the step S4, in the three-level warning processing process according to the public opinion propagation rate, the value of the public opinion propagation rate L with negative influence content is calculated:
when the propagation rate L of the content with negative influence is less than 2, the propagation rate of the public sentiment is low, which means that the popularity is low, the warning module starts primary warning, records the network content and carries out primary warning marking, but does not carry out warning information push notification on monitoring personnel, but is viewed by the monitoring personnel;
when the propagation rate L of the content with negative influence is less than or equal to 5 and is more than or equal to 2, the propagation rate of the public sentiment is medium, the popularity of the public sentiment is expressed to be medium, the warning module starts secondary warning, secondary warning information is pushed to an intelligent terminal of a monitoring person, warning information reminding is carried out on the monitoring person in time, and the monitoring person appropriately deletes relevant negative content of the network content to guide the correct trend of the positive public sentiment;
when the propagation rate L of the content with negative influence is more than 5, the propagation rate of the public sentiment is high, the popularity degree is high, the warning module starts three-level warning, the network content is blocked, clicking, commenting and forwarding are forbidden, the public sentiment is prevented from being continuously propagated, the popularity degree is prevented from rising, secondary warning information is pushed to an intelligent terminal of a monitoring person, warning information reminding is timely carried out on the monitoring person, the monitoring person deletes the network content, the publisher tracking module acquires network address and identity information of a network content publisher, the publisher sends the related information of the publisher to the network warning, and the network warning carries out corresponding processing on the publisher.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention has the function of efficiently controlling public opinion transmission through the data processing module and the warning module, click data, comment data and forwarding data of network contents with negative influence are processed through the click data processing unit, the comment data processing unit and the forwarding data processing unit, click growth rate, comment growth rate and forwarding growth rate are calculated, public opinion transmission rate is calculated according to the click growth rate, the comment growth rate and the forwarding growth rate, the public opinion transmission rate is divided into three public opinion transmission conditions according to public opinion transmission rate values, the warning module carries out three-level warning on different public opinion transmission conditions, and carries out three different public opinion processing, can analyze and calculate the public opinion transmission rate according to the network content data in real time, is convenient to master the public opinion transmission heat of the network contents, and has the effect of efficiently controlling the public opinion transmission.
2. The invention utilizes the keyword retrieval unit to efficiently screen out the network contents with corresponding keywords, utilizes the negative influence judgment unit to judge whether the retrieved network contents contain negative influences or not, efficiently screens out the corresponding network contents, is convenient to screen out the network contents needing to be monitored, reduces the influence of irrelevant network contents, and improves the public opinion monitoring accuracy and efficiency.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of the module connection of the present invention;
FIG. 2 is a schematic workflow of the content screening of the present invention;
FIG. 3 is a schematic flow chart of the data processing of the present invention;
fig. 4 is a schematic flow chart of the warning operation of the present invention.
In the figure: 1. a cloud computing platform; 11. a data transmitting/receiving unit; 12. a central processing unit; 13. a storage unit; 2. public opinion information screening module; 21. a keyword search unit; 22. a negative influence judging unit; 3. a data acquisition module; 31. clicking a data acquisition unit; 32. a comment data acquisition unit; 33. a forwarding data acquisition unit; 4. a data processing module; 41. Clicking a data processing unit; 42. a comment data processing unit; 43. a forwarding data processing unit; 5. a warning module; 51. A primary warning unit; 52. a secondary warning unit; 53. a third-level warning unit; 6. a publisher tracking module; 61. an address acquisition unit; 62. an identity acquisition unit; 7. an intelligent terminal; 71. an input unit; 72. a display unit; 73. a voice unit; 8. a database.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
1-4, the system comprises a cloud computing platform 1, a public opinion information screening module 2, a data collecting module 3, a data processing module 4, an alert module 5, a publisher tracking module 6, an intelligent terminal 7 and a database 8, wherein the cloud computing platform 1 is used for performing platform-type computing analysis and management on a network public opinion monitoring system, the public opinion information screening module 2 is used for screening keywords and negative influences on network contents, the data collecting module 3 is used for collecting click data, comment data and forwarding data of network contents with negative influences, the data processing module 4 is used for performing analytical computing processing on the click data, comment data and forwarding data, the alert module 5 is used for performing graded alert on the network contents with negative influences according to a propagation rate, the publisher tracking module 6 is used for tracking network content publishers with negative influences, the intelligent terminal 7 is used for inputting system parameters, keywords and displaying system data, public opinion information and voice broadcast data, and the alert database 8 is used for storing and providing network public opinion monitoring data;
the input end of the cloud computing platform 1 is respectively connected with the output ends of the public opinion information screening module 2, the data acquisition module 3, the data processing module 4, the warning module 5, the publisher tracking module 6, the intelligent terminal 7 and the database 8, and the output end of the cloud computing platform 1 is respectively connected with the input ends of the public opinion information screening module 2, the data acquisition module 3, the data processing module 4, the warning module 5, the publisher tracking module 6, the intelligent terminal 7 and the database 8;
the cloud computing platform 1 comprises a data transceiving unit 11, a central processing unit 12 and a storage unit 13, wherein the data transceiving unit 11 is used for transceiving system data and information, the central processing unit 12 is used for integrating, analyzing and processing data, and the storage unit 13 is used for temporarily storing data;
the public opinion information screening module 2 comprises a keyword retrieval unit 21 and a negative influence judgment unit 22, wherein the keyword retrieval unit 21 is used for retrieving and screening out network contents containing corresponding keywords, and the negative influence judgment unit 22 is used for judging negative influences of the network contents containing the keywords and screening out the network contents with the negative influences;
the data acquisition module 3 comprises a click data acquisition unit 31, a comment data acquisition unit 32 and a forwarding data acquisition unit 33, wherein the click data acquisition unit 31 is used for acquiring click data of network contents with negative influence, the comment data acquisition unit 32 is used for acquiring comment data of network contents with negative influence, and the forwarding data acquisition unit 33 is used for acquiring forwarding data of network contents with negative influence;
the data processing module 4 includes a click data processing unit 41, a comment data processing unit 42, and a forwarding data processing unit 43, where the click data processing unit 41 is configured to perform analysis and calculation processing on click data of a network content having a negative impact and calculate a click growth rate, the comment data processing unit 42 is configured to perform analysis and calculation processing on comment data of a network content having a negative impact and calculate a comment growth rate, and the forwarding data processing unit 43 is configured to perform analysis and calculation processing on forwarding data of a network content having a negative impact and calculate a forwarding growth rate;
the warning module 5 comprises a first-level warning unit 51, a second-level warning unit 52 and a third-level warning unit 53, wherein the first-level warning unit 51 is used for performing first-level warning on network contents with low public opinion propagation rate, the second-level warning unit 52 is used for performing second-level warning on network contents with medium public opinion propagation rate, and the third-level warning unit 53 is used for performing third-level warning on network contents with high public opinion propagation rate;
the publisher tracking module 6 comprises an address obtaining unit 61 and an identity obtaining unit 62, wherein the address obtaining unit 61 is used for obtaining a web address of a network content publisher with a high public sentiment propagation rate, and the identity obtaining unit 62 is used for obtaining identity information of the network content publisher with the high public sentiment propagation rate;
the intelligent terminal 7 comprises an input unit 71, a display unit 72 and a voice unit 73, wherein the input unit 71 is used for inputting control system parameters and keywords, the display unit 72 is used for displaying system data and information, and the voice unit 73 is used for voice broadcast warning.
The invention also provides an online public opinion monitoring method of the online public opinion monitoring system based on big data, which comprises the following steps:
s1: the system is started through the intelligent terminal 7, the system is controlled and managed, and keywords are input and set into the system;
s2: the public opinion information screening module 2 is used for retrieving and screening out the network contents containing the keywords, and judging the negative influence of the network contents containing the keywords to screen out the network contents with the negative influence;
s3: click data, comment data and forwarding data of network contents with negative influences are acquired through the data acquisition module 3, the click data, the comment data and the forwarding data are analyzed, calculated and processed through the data processing module 4, click growth rate, comment growth rate and forwarding growth rate are calculated, and public opinion propagation rate is calculated according to the click growth rate, the comment growth rate and the forwarding growth rate;
in the process of processing the data, the click data is a i Comment data is b i Forwarding data as c i ；
With the comment data of the network content having a negative influence every five minutes as one reference, the comment data set a = { a = { a = 1 ， a 2 ...a n And calculating the comment growth rate as follows:
the comment data set C = { b } on the basis of comment data of network contents having negative influence every five minutes 1 ， b 2 ...b n And calculating the comment growth rate as follows:
on the basis of forwarding data of every five minutes of network contents having negative influence, the forwarding data set C = { C = 1 ， c 2 ...c n And calculating the comment growth rate as follows:
calculating public opinion spreading rate as follows: l = I +2J + K;
s4: the public opinion transmission rate with negative influence content is obtained for grading processing, and warning is carried out on different public opinion transmission rates in three grades through a warning module 5;
in the process of carrying out three-level warning processing according to the public opinion propagation rate, calculating the value of the public opinion propagation rate L with negative influence content:
when the propagation rate L of the content with negative influence is less than 2, the propagation rate of the public sentiment is low, which means that the popularity is low, the warning module 5 starts primary warning, records the network content and carries out primary warning marking, but does not carry out warning information push notification on monitoring personnel, but is viewed by the monitoring personnel;
when the propagation rate of the content with negative influence is more than or equal to 2 and less than or equal to 5, the propagation rate of the public opinion is medium, which indicates that the popularity of the public opinion is medium, the warning module 5 starts secondary warning, pushes the secondary warning information into the intelligent terminal 7 of the monitoring personnel, and reminds the monitoring personnel of the warning information in time, and the monitoring personnel appropriately deletes the related negative content of the network content to guide the correct trend of the positive public opinion;
when the propagation rate L of the content with negative influence is more than 5, the propagation rate of the public sentiment is high, the public sentiment heat degree is high, the warning module 5 starts three-level warning, the network content is blocked, clicking, commenting and forwarding are forbidden, the public sentiment is prevented from being continuously propagated, the public sentiment heat degree is prevented from rising, secondary warning information is pushed to the intelligent terminal 7 of a monitoring person, warning information reminding is timely carried out on the monitoring person, the monitoring person deletes the network content, the publisher tracking module 6 obtains the network address and the identity information of a network content publisher, the relevant information of the publisher is sent to the network warning, and the network warning carries out corresponding processing on the publisher.
The working principle of the invention is as follows:
referring to the attached drawings 1-4 of the specification, the data processing module 4 and the warning module 5 play a role in efficiently controlling public opinion transmission, the keyword retrieval unit is used for efficiently screening out network contents with corresponding keywords, the negative influence judging unit is used for judging whether the retrieved network contents contain negative influences or not, the corresponding network contents are efficiently screened out, the network contents needing to be monitored are conveniently screened out, the influence of irrelevant network contents is reduced, the public opinion monitoring accuracy and efficiency are improved, the click data, comment data and forwarding data of the network contents with negative influences are processed through the click data processing unit, the comment data processing unit and the forwarding data processing unit, click increase rate, comment increase rate and forwarding increase rate are calculated, the public opinion transmission rate is calculated according to the click increase rate, the comment increase rate and the forwarding increase rate, the public opinion transmission rate is divided into three public opinion transmission conditions according to the public opinion transmission rate value, the warning module is used for carrying out three-level warning on different public opinion transmission conditions, three different kinds of opinion processing can be carried out, the network content data can be analyzed and processed in real time, the public opinion transmission rate is conveniently mastered, and the public opinion transmission rate has a function of efficiently controlling and transmitting.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a network public opinion monitoring system based on big data, includes cloud computing platform (1), public opinion information screening module (2), data acquisition module (3), data processing module (4), warning module (5), publisher tracking module (6), intelligent terminal (7) and database (8), its characterized in that: the cloud computing platform (1) is used for carrying out platform-type computing analysis and management on a network public opinion monitoring system, the public opinion information screening module (2) is used for screening keywords and negative influences on network contents, the data acquisition module (3) is used for acquiring click data, comment data and forwarding data of the network contents with negative influences, the data processing module (4) is used for carrying out analysis computing processing on the click data, the comment data and the forwarding data, the warning module (5) is used for carrying out graded warning on the network contents with negative influences according to the propagation rate, the publisher tracking module (6) is used for tracking a publisher of the network contents with negative influences, the intelligent terminal (7) is used for inputting system parameters, keywords, display system data, information and voice broadcast warning, and the database (8) is used for storing and providing data of the network public opinion monitoring system;
the input of cloud computing platform (1) is connected with the output of public opinion information screening module (2), data acquisition module (3), data processing module (4), warning module (5), publisher tracking module (6), intelligent terminal (7) and database (8) respectively, the output of cloud computing platform (1) is connected with the input of public opinion information screening module (2), data acquisition module (3), data processing module (4), warning module (5), publisher tracking module (6), intelligent terminal (7) and database (8) respectively.
2. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the cloud computing platform (1) comprises a data transceiving unit (11), a central processing unit (12) and a storage unit (13), wherein the data transceiving unit (11) is used for transceiving system data and information, the central processing unit (12) is used for integrating, analyzing and processing the data, and the storage unit (13) is used for temporarily storing the data.
3. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the public opinion information screening module (2) comprises a keyword retrieval unit (21) and a negative influence judging unit (22), wherein the keyword retrieval unit (21) is used for retrieving and screening out network contents containing corresponding keywords, and the negative influence judging unit (22) is used for judging negative influences of the network contents containing the keywords and screening out the network contents with the negative influences.
4. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the data acquisition module (3) comprises a click data acquisition unit (31), a comment data acquisition unit (32) and a forwarding data acquisition unit (33), wherein the click data acquisition unit (31) is used for acquiring click data of network contents with negative influence, the comment data acquisition unit (32) is used for acquiring comment data of the network contents with negative influence, and the forwarding data acquisition unit (33) is used for acquiring forwarding data of the network contents with negative influence.
5. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the data processing module (4) comprises a click data processing unit (41), a comment data processing unit (42) and a forwarding data processing unit (43), wherein the click data processing unit (41) is used for analyzing and calculating click data of network contents with negative influences and calculating a click growth rate, the comment data processing unit (42) is used for analyzing and calculating comment data of the network contents with negative influences and calculating a comment growth rate, and the forwarding data processing unit (43) is used for analyzing and calculating forwarding data of the network contents with negative influences and calculating a forwarding growth rate.
6. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the module of warning (5) is including one-level unit of warning (51), second grade unit of warning (52) and tertiary unit of warning (53), one-level unit of warning (51) are used for carrying out the one-level to the lower network content of public opinion spreading rate and warn, second grade unit of warning (52) are used for carrying out the second grade to the network content that public opinion spreading rate is medium and warn, tertiary unit of warning (53) are used for carrying out tertiary warning to the higher network content of public opinion spreading rate.
7. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the publisher tracking module (6) comprises an address acquisition unit (61) and an identity acquisition unit (62), wherein the address acquisition unit (61) is used for acquiring the internet addresses of the network content publishers with higher public sentiment propagation rate to acquire the internet addresses, and the identity acquisition unit (62) is used for acquiring the identity information of the network content publishers with higher public sentiment propagation rate.
8. The big data-based internet public opinion monitoring system according to claim 1, characterized in that: the intelligent terminal (7) comprises an input unit (71), a display unit (72) and a voice unit (73), wherein the input unit (71) is used for controlling system parameters and inputting keywords, the display unit (72) is used for displaying system data and information, and the voice unit (73) is used for voice broadcast warning.
9. The internet public opinion monitoring method of any one of the internet public opinion monitoring systems based on big data according to claims 1-8, wherein: the method comprises the following steps:
s1: the system is started through the intelligent terminal (7), the system is controlled and managed, and keywords are input and set into the system;
s2: the public opinion information screening module (2) is used for retrieving and screening out the network content containing the keywords, and judging the negative influence of the network content containing the keywords to screen out the network content with the negative influence;
s3: click data, comment data and forwarding data of network contents with negative influences are acquired through a data acquisition module (3), the click data, the comment data and the forwarding data are analyzed, calculated and processed through a data processing module (4), click growth rate, comment growth rate and forwarding growth rate are calculated, and public opinion propagation rate is calculated according to the click growth rate, the comment growth rate and the forwarding growth rate;
s4: and public opinion transmission rates with negative influence contents are obtained for grading processing, and different public opinion transmission rates are warned in three grades through a warning module (5).
10. The method of claim 9An online public opinion monitoring method is characterized in that: in the step S3, in the process of processing the data, the click data is a i Comment data is b i Forwarding data as c i ；
With the comment data of the network content having a negative influence every five minutes as one reference, the comment data set a = { a = { a = 1 ，a 2 ...a n And calculating the comment growth rate as follows:
the comment data set C = { b } on the basis of comment data of network contents having negative influence every five minutes 1 ，b 2 ...b n And calculating the comment growth rate as follows:
on the basis of forwarding data of every five minutes of network contents having negative influence, the forwarding data set C = { C = 1 ，c 2 ...c n And calculating the comment growth rate as follows:
calculating public opinion spreading rate as follows: l = I +2 (J + K);
in the step S4, in the three-level warning processing process according to the public opinion propagation rate, the value of the public opinion propagation rate L with negative influence content is calculated:
when the transmission rate L of the content with negative influence is less than 2, the transmission rate of the public sentiment is low, the public sentiment is low in popularity, the warning module (5) starts primary warning, records the network content and carries out primary warning marking, but the monitoring personnel does not carry out warning information push notification but can check by the monitoring personnel;
when the propagation rate L of the content with negative influence is less than or equal to 2 and less than or equal to 5, the propagation rate of the public opinion is medium, the public opinion heat is medium, the warning module (5) starts secondary warning, secondary warning information is pushed to an intelligent terminal (7) of a monitoring person, warning information is timely reminded for the monitoring person, and the monitoring person appropriately deletes relevant negative content of the network content to guide the correct positive public opinion trend;
when the propagation rate L of the content with negative influence is more than 5, the propagation rate of the public sentiment is high, the popularity degree is high, the warning module (5) starts three-level warning, the network content is blocked, clicking, commenting and forwarding are forbidden, the public sentiment is prevented from being continuously propagated, the popularity degree is prevented from rising, the second-level warning information is pushed into an intelligent terminal (7) of a monitoring person, warning information reminding is timely carried out on the monitoring person, the monitoring person deletes the network content, the publisher tracking module (6) acquires network address and identity information of a network content publisher, the related information of the publisher is sent to the network warning, and the network warning carries out corresponding processing on the publisher.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116306622A (en) * | 2023-05-25 | 2023-06-23 | 环球数科集团有限公司 | AIGC comment system for improving public opinion atmosphere |
| CN116701729A (en) * | 2023-08-01 | 2023-09-05 | 贵州融云信息技术有限公司 | Network public opinion detection system and detection method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116306622A (en) * | 2023-05-25 | 2023-06-23 | 环球数科集团有限公司 | AIGC comment system for improving public opinion atmosphere |
| CN116701729A (en) * | 2023-08-01 | 2023-09-05 | 贵州融云信息技术有限公司 | Network public opinion detection system and detection method |
| CN116701729B (en) * | 2023-08-01 | 2023-10-31 | 贵州融云信息技术有限公司 | Network public opinion detection system and detection method |
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