CN116881535A - Public opinion comprehensive supervision system with timely early warning function - Google Patents
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Abstract
The invention discloses a public opinion comprehensive supervision system capable of early warning in time, which particularly relates to the technical field of public opinion management and control, and comprises a platform data acquisition module, a database construction module, a public opinion event judgment module, a public opinion influence value calculation and analysis module, a data processing module and a risk early warning module.
Description
Technical Field
The invention relates to the technical field of public opinion management and control, in particular to a public opinion comprehensive supervision system with timely early warning.
Background
In the current society, the Internet is vigorously developed, and along with the continuous growth of netizens, more and more people use the Internet as a first-choice channel for acquiring information. The network public opinion is a representation form of the public opinion, and is a statement and view of public spreading through the Internet, which has strong influence and tendency on some hot spots and focus problems in real life, and the network public opinion is a collection of the emotion, attitude, opinion, view expression, spreading and interaction of the masses of netizens and subsequent influence by taking the network as a carrier and taking events as cores. And the emergency has the characteristic of uncertainty, and the time, place and form of occurrence are difficult to predict.
The existing network public opinion monitoring system collects and identifies massive network public opinion information in real time, and in the process, the collection process is divided into different areas, namely, data are collected in real time based on network addresses, and then the data are classified and identified.
However, when the system is actually used, the system still has some defects, such as high information leakage rate, untimely early warning, untimely information communication across departments and the like
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a public opinion comprehensive supervision system with timely early warning, so as to solve the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: .
Preferably, the platform data acquisition module is used for acquiring public opinion data and user operation data in the platform region of m time periods at regular time; the method comprises the steps that the azimuth of collecting public opinion data and user operation data is a crawler technology, and the time period is one hour, wherein the public opinion data comprises searching times, heat values, and the user operation data comprises forwarding times, comment times and clicking times.
Preferably, the platform data acquisition module is used for acquiring public opinion data and user operation data in the platform region of m time periods at regular time; the method comprises the steps that the azimuth of collecting public opinion data and user operation data is a crawler technology, and the time period is one hour, wherein the public opinion data comprises searching times, heat values, and the user operation data comprises forwarding times, comment times and clicking times.
Preferably, the database construction module is used for preprocessing the collected public opinion data, obtaining a plurality of emotion words related to the event, and adding the emotion words into an emotion word dictionary to construct a text database; the database comprises historical public opinion events, keywords of the public opinion events are input into the database, and the database can compare and analyze the public opinion events according to the historical public opinion events to obtain whether the public opinion events have positive or negative effects.
Preferably, the public opinion event judging module is used for inputting the keywords of the public opinion event into the database, and comparing the keywords existing in the database to obtain the positive and negative faces of the public opinion event;
preferably, the public opinion impact value calculation and analysis module is configured to analyze the data transmitted by the public opinion time judgment module, and perform analysis and calculation on public opinion information to obtain a public opinion impact value, where the calculation method of the search rate in the public opinion impact value is as follows:
μ=slog (1+Δp), where μ is the search rate, S is the number of searches, Δp is the value rate difference, and +Δp is the value rate difference that produces a positive emotion, - Δp is the emotion that people produce for the object, negative.
Grouping time attributes of topic-related information according to a principle of grouping one unit time by T i Representation of T i Calculating the related information of the internal network social platform articles, quantifying the value rate height difference, and normalizing the value rate height difference, wherein the formula is as follows:
wherein DeltaP i To represent a unit time T i Internal platform topic value rate difference, X i Representing a unit time T i Information quantity related to the internal topics;
wherein Z is topic (T i ) Is the influence value of platform speech public opinion, wherein K m As intensity coefficient, psi is the number of times of forwarding, and τ is the heat index; for network social platform topicsThe major categories can be classified into entertainment news, scientific news, international news and social news, and the topics with high heat and short duration and little influence on life of people, such as entertainment news will K m Set to 1; the topic heat is low and the duration is short, for example, the Km of scientific news and international news is still set to be 1; for topics closely related to life, high heat and long duration, the netizens express strong wish and have great influence on society, such as social news K m Set to 2.
Preferably, the data processing module is used for processing the data acquired by the public opinion influence value calculation and analysis module, calculating to obtain liveness, and then calculating the liveness and the public opinion influence value to obtain a public opinion enthusiasm value; the method for calculating the liveness comprises the following steps:
H＝Bη 1 +Dη 2 +Gη 3 wherein H is liveness, B is forwarding times, D is click rate, and G is reply comment times.
The public opinion popularity value calculating method specifically comprises the following steps:
Y＝e ln[Ztopic(Ti+H)] *Z topic * ζ, wherein Y is public opinion eigenvalue, Z topic (T i ) The emotion strength of the topics of the network social platform is H, liveness is H, and xi is other influencing factors.
Preferably, the risk early warning module is used for judging the calculated public opinion popularity value and a preset public opinion popularity value, and outputting an early warning instruction if the public opinion popularity value is larger than the preset public opinion popularity value; if the public opinion popularity value is smaller than the public opinion popularity value, outputting an early warning instruction. : in the public opinion heat judging module, if Y is more than delta Y, if delta Y is a public opinion characteristic value threshold, an early warning instruction is output, and related personnel are required to carry out emergency correction; if Y is less than delta Y, outputting an early warning instruction without operation by related personnel. .
The invention has the technical effects and advantages that:
the problem of single monitoring insufficiency is solved, the information management level is improved, the working difficulty of related departments is greatly reduced, the working efficiency of the related departments is effectively improved, the public opinion can be timely controlled, and the public opinion is prevented from continuing to spread on a large scale.
Drawings
Fig. 1 is a schematic diagram of the overall structure of the present invention.
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a public opinion comprehensive supervision system with timely early warning, which comprises a platform data acquisition module, a database construction module, a public opinion time judgment module, a public opinion influence value calculation and analysis module, a data processing module and a risk early warning module.
The platform data acquisition module is connected with the database construction module, the database construction module is connected with the public opinion event judgment module, the public opinion event judgment module is connected with the public opinion influence value calculation and analysis module, the public opinion influence value calculation and analysis module is connected with the data processing module, and the data processing module is connected with the risk early warning module.
The platform data acquisition module is used for acquiring public opinion data and user operation data in platform areas of m time periods at regular time; the method comprises the steps that the azimuth of collecting public opinion data and user operation data is a crawler technology, and the time period is one hour, wherein the public opinion data comprises searching times, heat values, and the user operation data comprises forwarding times, comment times and clicking times.
The construction database module is used for preprocessing the collected public opinion data, obtaining a plurality of emotion words related to the event, and adding the emotion words into an emotion word dictionary to construct a text database; the database comprises historical public opinion events, keywords of the public opinion events are input into the database, and the database can compare and analyze the public opinion events according to the historical public opinion events to obtain whether the public opinion events have positive or negative effects.
The public opinion event judging module is used for inputting the keywords of the public opinion event into the database, and comparing the keywords in the database to obtain the positive and negative faces of the public opinion event;
the public opinion influence value calculation and analysis module is used for analyzing the data transmitted by the public opinion time judgment module and analyzing and calculating public opinion information to obtain a public opinion influence value, wherein the calculation method of the search rate in the public opinion influence value comprises the following steps:
μ=slog (1+Δp), where μ is the search rate, S is the number of searches, Δp is the value rate difference, and +Δp is the value rate difference that produces a positive emotion, - Δp is the emotion that people produce for the object, negative.
Grouping time attributes of topic-related information according to a principle of grouping one unit time by T i Representation of T i Calculating the related information of the internal network social platform articles, quantifying the value rate height difference, and normalizing the value rate height difference, wherein the formula is as follows:
wherein DeltaP i To represent a unit time T i Internal platform topic value rate difference, X i Representing a unit time T i Information quantity related to the internal topics;
wherein Z is topic (T i ) Is the influence value of platform speech public opinion, wherein K m As intensity coefficient, psi is the number of times of forwarding, and τ is the heat index; topics of the network social platform can be largely classified into entertainment news, scientific news, international news and social news, and topics with high heat, short duration and small influence on life of people, such as entertainment news to K m Set to 1; low heat and short duration for topicsFor example, scientific news and international news Km are still set to 1; for topics closely related to life, high heat and long duration, the netizens express strong wish and have great influence on society, such as social news K m Set to 2.
The data processing module is used for processing the data acquired by the public opinion influence value calculation and analysis module, calculating to obtain liveness, and then calculating the liveness and the public opinion influence value to obtain a public opinion heat value; the method for calculating the liveness comprises the following steps:
H＝Bη 1 +Dη 2 +Gη 3 wherein H is liveness, B is forwarding times, D is click rate, and G is reply comment times.
The public opinion popularity value calculating method specifically comprises the following steps:
Y＝e ln[Ztopic(Ti+H)] *Z topic * ζ, wherein Y is public opinion eigenvalue, Z topic (T i ) The emotion strength of the topics of the network social platform is H, liveness is H, and xi is other influencing factors.
The risk early warning module is used for judging the calculated public opinion popularity value and the preset public opinion popularity value, and outputting an early warning instruction if the public opinion popularity value is larger than the preset public opinion popularity value; if the public opinion popularity value is smaller than the public opinion popularity value, outputting an early warning instruction. : in the public opinion heat judging module, if Y is more than delta Y, if delta Y is a public opinion characteristic value threshold, an early warning instruction is output, and related personnel are required to carry out emergency correction; if Y is less than delta Y, outputting an early warning instruction without operation by related personnel.
Referring to fig. 2, in this embodiment, it is to be specifically explained that the present invention provides a public opinion comprehensive supervision system with timely early warning, which includes the following steps:
a01: public opinion data and user operation data in platform areas of m time periods are collected at fixed time;
a02: preprocessing the collected public opinion data to obtain a plurality of emotion words related to the event, and adding the emotion words into an emotion word dictionary to construct a text database;
a03: inputting keywords of the public opinion event into a database, and comparing the keywords according to the keywords in the database to obtain positive and negative faces of the public opinion event;
a04: analyzing the data in the public opinion event, and analyzing and calculating public opinion information to obtain a public opinion influence value;
a05: calculating liveness, and then calculating liveness and public opinion influence values to obtain public opinion popularity values;
a06: judging the public opinion popularity value and the preset public opinion popularity value, and outputting different instructions according to different results to obtain different processing modes.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The utility model provides a public opinion integrated supervision system of early warning in time, includes its characterized in that:
platform data acquisition module: the system is used for regularly acquiring public opinion data and user operation data in platform areas of m time periods;
and (3) constructing a database module: the method comprises the steps of preprocessing collected public opinion data, obtaining a plurality of emotion words related to the event, and adding the emotion words into an emotion word dictionary to construct a text database;
public opinion event judging module: the method comprises the steps of inputting keywords of public opinion events into a database, and comparing the keywords in the database to obtain positive and negative faces of the public opinion events;
public opinion impact value calculation analysis module: the method is used for analyzing the data transmitted by the public opinion event judging module and analyzing and calculating public opinion information to obtain a public opinion influence value, wherein the method for calculating the search rate in the public opinion influence value comprises the following steps:
μ=slog (1+Δp), where μ is the search rate, S is the number of searches, Δp is the value rate difference, and +Δp is the value rate difference and the emotion generated by the value rate difference is positive, - Δp is the emotion generated by the object is negative;
and a data processing module: the public opinion influence value calculation and analysis module is used for processing the data acquired by the public opinion influence value calculation and analysis module, calculating to obtain liveness, and calculating the liveness and the public opinion influence value to obtain a public opinion enthusiasm value; the method for calculating the liveness comprises the following steps:
H＝Bη 1 +Dη 2 +Gη 3 wherein H is liveness, B is forwarding times, D is click rate, and G is reply comment times;
risk early warning module: the method comprises the steps of judging a calculated public opinion popularity value and a preset public opinion popularity value, and outputting an early warning instruction if the public opinion popularity value is larger than the preset public opinion popularity value; if the public opinion popularity value is smaller than the public opinion popularity value, outputting an early warning instruction.
2. The public opinion integrated supervision system with timely early warning according to claim 1, wherein: the direction of collecting public opinion data and user operation data is a crawler technology, and the time period is one hour and one time period, wherein the public opinion data comprises searching times, popularity values, and the user operation data comprises forwarding times, comment times and clicking times.
3. The public opinion integrated supervision system with timely early warning according to claim 1, wherein: the database comprises historical public opinion events, keywords of the public opinion events are input into the database, and the database can compare and analyze the public opinion events according to the historical public opinion events to obtain whether the public opinion events have positive or negative effects.
4. The public opinion integrated supervision system with timely early warning according to claim 1, wherein: grouping time attributes of topic-related information according to a principle of grouping one unit time by T i Representation of T i Calculating the related information of the internal network social platform articles, quantifying the value rate height difference, and normalizing the value rate height difference, wherein the formula is as follows:
wherein DeltaP i To represent a unit time T i Internal platform topic value rate difference, X i Representing a unit time T i Information quantity related to the internal topics;
wherein Z is topic (T i ) Is the influence value of platform speech public opinion, wherein K m As intensity coefficient, psi is the number of times of forwarding, and τ is the heat index; topics of the network social platform can be largely classified into entertainment news, scientific news, international news and social news, and topics with high heat, short duration and small influence on life of people, such as entertainment news to K m Set to 1; the topic heat is low and the duration is short, for example, the Km of scientific news and international news is still set to be 1; for topics closely related to life, high heat and long duration, the netizens express strong wish and have great influence on society, such as social news K m Set to 2.
5. The public opinion integrated supervision system with timely early warning according to claim 1, wherein: the public opinion popularity value calculating method specifically comprises the following steps:
Y＝e ln[Ztopic(Ti+H)] *Z topic * ζ, wherein Y is public opinion eigenvalue, Z topic (T i ) The emotion strength of the topics of the network social platform is H, liveness is H, and xi is other influencing factors.
6. The public opinion integrated supervision system with timely early warning according to claim 1, wherein: in the public opinion heat judging module, if Y is more than delta Y, if delta Y is a public opinion characteristic value threshold, an early warning instruction is output, and related personnel are required to carry out emergency correction; if Y is less than delta Y, outputting an early warning instruction without operation by related personnel.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117635190A (en) * | 2023-11-27 | 2024-03-01 | 河北数港科技有限公司 | Log data analysis method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117635190A (en) * | 2023-11-27 | 2024-03-01 | 河北数港科技有限公司 | Log data analysis method and system |
| CN117635190B (en) * | 2023-11-27 | 2024-05-14 | 河北数港科技有限公司 | Log data analysis method and system |
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Application publication date: 20231013 |