CN113468427A - Network public opinion monitoring and analyzing method and device - Google Patents
Network public opinion monitoring and analyzing method and device Download PDFInfo
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- CN113468427A CN113468427A CN202110789737.6A CN202110789737A CN113468427A CN 113468427 A CN113468427 A CN 113468427A CN 202110789737 A CN202110789737 A CN 202110789737A CN 113468427 A CN113468427 A CN 113468427A
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- 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
- G06F16/9535—Search customisation based on user profiles and personalisation
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
Abstract
The invention discloses a method and a device for monitoring and analyzing network public sentiment, which comprises the following steps: the working personnel inputs the concerned event theme in the monitoring platform through the upper computer; the background server carries out word segmentation processing on the input main body according to an SEO word segmentation technology and then carries out real-time data collection; the background server performs word segmentation processing on the collected data and then performs data analysis and statistics; displaying the counted data on a central display large screen in a dynamic form, displaying the data with high danger level in a highlight or flashing form during displaying, and displaying a dangerous project popup in the system to remind a worker to pay attention to and process in time; and predicting the situation development. The method solves the problem that the severity of the event can not be quickly concerned in the quick fermentation stage of the event due to the fact that the severity of the event is judged only by means of the total data amount in the traditional method, is convenient for quickly finding the problem, and sends the problem to leaders in a grading mode, so that the workload of the leaders is reduced.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a network public opinion monitoring and analyzing method and device.
Background
The network public opinion monitoring and early warning system can early warn and monitor the development and change of an occurred event by collecting network information in a certain social space, so that a manager knows the attitude and the intention of the people expressed on the network, and accordingly, the manager can make a corresponding coping policy and a correct management measure.
In the prior art, network public opinion monitoring mainly collects relevant information of people with high vermicelli quantity and attention, analyzes and extracts network vocabularies through word segmentation technology, further obtains relevant data, filters useless information with low attention, and performs data modeling processing on the useful information through a weighting algorithm, so that the data related to public opinions are obtained and displayed on a large screen, and people can quickly know the trend of the public opinions. However, although the conventional method can perform screening processing on different viewpoints, the conventional method does not perform level early warning on the current situation of public sentiment, and further is inconvenient to process a large amount of related information appearing in a short time, or performs quantitative processing on the exposure accumulated amount of related events in a period of time, so that the conventional data cannot well reflect the development state of events, and is inconvenient to perform early warning processing.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a network public opinion monitoring and analyzing method and device.
The invention provides a network public opinion monitoring and analyzing method and a device, comprising the following steps:
step 1: the working personnel inputs the concerned event theme in the monitoring platform through the upper computer;
step 2: the background server carries out word segmentation processing on the input main body according to an SEO word segmentation technology and then carries out real-time data collection;
and step 3: the background server performs word segmentation processing on the collected data and then performs data analysis and statistics;
and 4, step 4: displaying the counted data on a central display large screen in a dynamic form, displaying the data with high danger level in a highlight or flashing form during displaying, and displaying a dangerous project popup in the system to remind a worker to pay attention to and process in time;
and 5: predicting situation development, namely predicting the situation development trend according to the internet surfing time of the user and the current time period;
step 6: and sending the event to a corresponding department according to the danger level so as to reduce the workload of high-level personnel and realize the quick-acting performance of the message.
As a still further scheme of the invention: the data analysis statistics comprise the following data: Δ q is a change value of the sum of the total browsing volume and the forwarding volume in the time period from t1 to t 2; Δ t is the difference between t2 and t 1; Δ p ═ Δ q/. DELTA.t, where t1 and t2 are the time points and Δ t is the set variable parameter.
As a still further scheme of the invention: the hazard classifications are as follows:
Δ p is 0 to 160, the hazard grade is first grade, and the hazard color is green;
Δ p is greater than 160 and not greater than 300, the hazard classification is a second level, and the hazard color is blue;
the delta p is more than 300 and not more than 600, the danger grade is third grade, and the danger color is orange;
Δ p is greater than 600 and not greater than 750, the hazard grade is fourth grade, and the hazard color is red;
Δ p is greater than 750, the hazard scale is fifth, and the hazard color is purple.
As a still further scheme of the invention: the data collection content comprises text information, expression information, video information and audio information; the channels for data collection comprise microblogs, WeChat, posts, forums and live broadcast platforms; the data analysis statistical items comprise browsing amount, forwarding amount, praise amount and comment amount.
As a still further scheme of the invention: in the data statistics, the information collected by the text information according to the word segmentation technology is counted according to a first viewpoint, a second viewpoint and a third viewpoint, and the support quantity of each viewpoint in the same time is counted to reflect the bias of public opinion.
As a still further scheme of the invention: the danger level is higher than or equal to the fourth level and is a high danger level.
As a still further scheme of the invention: and according to different danger grades, the event window is positioned at different positions of the central display large screen.
As a still further scheme of the invention: the dynamic model display comprises a geographical map, a temperature map, a line graph and a fan-shaped graph; displaying on a geographical map according to the dangerous color temperature map, so as to facilitate visual understanding of the regional distribution condition, wherein the data of the geographical map is according to the geographical position information of public opinion publishers in data acquisition; the abscissa of the line graph is time, and the ordinate is browsing amount, forwarding amount, praise amount and appraisal amount; the fan-shaped chart is the ratio of three viewpoints, the sum of the ratio of the three viewpoints is 100%, and the proportion of the viewpoint tendency of people in public sentiment can be conveniently and visually and rapidly known according to the data analysis and statistics.
As a still further scheme of the invention: in the dynamic model display, the data display refreshing time from the first level to the fifth level sequentially is T1, T2, T3, T4 and T5, and T1 to T5 are assigned parameters, so that when personnel investigate and observe data, the display refreshing time among the data is balanced, more resources are provided for the time with the highest risk level, the data are more accurate, and the personnel can command decisions conveniently.
A device based on a network public opinion monitoring and analyzing method comprises a public platform which is a netizen user side, a background server captures contents through the Internet, an upper computer is used for operating system data of background workers, and a central display large screen is used for displaying current concerned events.
The beneficial effects of the invention are as follows:
according to the method, the variable quantity and the total quantity of the events within a period of time are displayed on the large screen, and the events with large variable quantity within a certain period of time are identified according to the setting, so that the problem that the severity of the events is judged only by the total quantity of data in the traditional method, so that the events cannot be quickly attended at the quick event fermentation stage is solved, the problems can be quickly found, and the events are sent to leaders in a grading manner, the workload of the leaders is reduced, and the leaders have more thinking and decision-making time; in dynamic model display, the data display refreshing time of the risk level from the first level to the fifth level is respectively T1, T2, T3, T4 and T5, and all the data display refreshing time from T1 to T5 are assigned parameters, so that when personnel investigate and observe data, the display refreshing time among the data is balanced, more resources are provided for the time of the highest risk level, the data are more accurate, and the personnel can command and make decisions conveniently.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring and analyzing internet public sentiment according to the present invention;
fig. 2 is a schematic view of a dynamic model display framework of a method for internet public opinion monitoring and analysis according to the present invention;
fig. 3 is a schematic diagram of a data collection framework of an online public opinion monitoring and analyzing method according to the present invention;
fig. 4 is a schematic structural diagram of an apparatus based on an internet public opinion monitoring and analyzing method according to the present invention.
In the figure: 1 public platform, 2 internet, 3 background server, 4 central display large screen, 5 host computer.
Detailed Description
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
In the description of this patent, it is to be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientations and positional relationships indicated in the drawings for the convenience of describing the patent and for the simplicity of description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the patent.
In the description of this patent, it is noted that unless otherwise specifically stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can include, for example, fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meaning of the above terms in this patent may be understood by those of ordinary skill in the art as appropriate.
Referring to fig. 1-4, a method and a device for monitoring and analyzing network public sentiment, comprising the following steps:
step 1: the staff inputs the concerned event theme in the monitoring platform through the upper computer 5;
step 2: the background server 3 carries out word segmentation processing on the input main body according to SEO word segmentation technology and then carries out real-time data collection;
and step 3: the background server 3 performs word segmentation processing on the collected data and then performs data analysis and statistics;
and 4, step 4: displaying the counted data on a central display large screen 4 in a dynamic form, displaying the data with high danger level in a highlight or flashing form during displaying, and displaying a dangerous project popup in the system to remind a worker to pay attention to and process in time;
and 5: predicting situation development, namely predicting situation development trend according to user internet surfing time and the current time period, wherein in non-working time, the user internet surfing time is long, and browsing amount is increased rapidly;
step 6: and sending the event to a corresponding department according to the danger level so as to reduce the workload of high-level personnel and realize the quick-acting performance of the message.
In the invention, the data analysis statistics comprise the following data: Δ q is a change value of the sum of the total browsing volume and the forwarding volume in the time period from t1 to t 2; Δ t is the difference between t2 and t 1; Δ p ═ Δ q/. DELTA.t, where t1 and t2 are the time points and Δ t is the set variable parameter.
In the present invention, the risk classification is as follows:
Δ p is 0 to 160, the hazard grade is first grade, and the hazard color is green;
Δ p is greater than 160 and not greater than 300, the hazard classification is a second level, and the hazard color is blue;
the delta p is more than 300 and not more than 600, the danger grade is third grade, and the danger color is orange;
Δ p is greater than 600 and not greater than 750, the hazard grade is fourth grade, and the hazard color is red;
Δ p is greater than 750, the hazard scale is fifth, and the hazard color is purple.
In the present invention, the fourth level is a high risk level.
In the invention, the content of data collection comprises text information, expression information, video information and audio information; the channels for data collection comprise microblogs, WeChat, posts, forums and live broadcast platforms; the data analysis and statistics items comprise browsing amount, forwarding amount, praise amount and comment amount, the public platform 1 is a netizen user side, and the background server 3 captures the content on the public platform 1 through the Internet 2.
In the data statistics, the information collected by text information according to the word segmentation technology is counted according to a first viewpoint, a second viewpoint and a third viewpoint, and the support quantity of each viewpoint in the same time is counted to reflect the bias of public opinion.
According to different danger grades, the event window is positioned at different positions of the central display large screen 4; the events with the first danger level run on the background server 3, and when the workers click to check the events, the events are displayed in a window form, and after exiting the window, the events continue to run on the background and collect data of the corresponding events; events of a second danger level and a third danger level are displayed at the lower left corner of the central display large screen 4, and when a person clicks and views the events, a window of the events is displayed in the middle in a range of one fourth of the left side of the central display large screen 4; the event of the fourth danger level is displayed in a window form, and the window is positioned in the range of one fourth of the rightmost side of the central display large screen 4; the event of the fifth risk level is shown in the form of a window, which is located in the central half of the central display screen 4.
In the invention, the dynamic model display comprises a geographical map, a temperature map, a line graph and a fan-shaped graph; displaying on a geographical map according to the dangerous color temperature map, so as to facilitate visual understanding of the regional distribution condition, wherein the data of the geographical map is according to the geographical position information of public opinion publishers in data acquisition; the abscissa of the line graph is time, and the ordinate is browsing amount, forwarding amount, praise amount and appraisal amount; the fan-shaped chart is the ratio of three viewpoints, the sum of the ratio of the three viewpoints is 100%, and the proportion of the viewpoint tendency of people in public sentiment can be conveniently and visually and rapidly known according to the data analysis and statistics.
In the dynamic model display, the data display refreshing time from the first level to the fifth level in turn is T1, T2, T3, T4 and T5 respectively, and all of T1 to T5 are assigned parameters, so that when a person investigates and observes data, the display refreshing time among all data is balanced, more resources are provided for the time with the highest risk level, the data is more accurate, and the person can command and make a decision.
A device based on a network public opinion monitoring and analyzing method comprises a public platform 1 which is a netizen user side, a background server 3 which captures contents on the public platform 1 through the Internet 2, an upper computer 5 which is used for operating system data of background workers, and a central display large screen 4 which is used for displaying current concerned events.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. An online public opinion monitoring and analyzing method is characterized by comprising the following steps:
step 1: the working personnel inputs the concerned event theme in the monitoring platform through the upper computer (5);
step 2: the background server (3) carries out word segmentation processing on the input main body according to SEO word segmentation technology and then carries out real-time data collection;
and step 3: the background server (3) performs word segmentation processing on the collected data and then performs data analysis and statistics;
and 4, step 4: displaying the counted data on a central display large screen (4) in a dynamic form, displaying the data with high danger level in a highlight or flashing form during displaying, and displaying a dangerous project popup in the system to remind a worker to pay attention to and process in time;
and 5: predicting situation development, namely predicting the situation development trend according to the internet surfing time of the user and the current time period;
step 6: and sending the event to a corresponding department according to the danger level so as to reduce the workload of high-level personnel and realize the quick-acting performance of the message.
2. The method for monitoring and analyzing internet public sentiment according to claim 1, wherein the data analysis statistics comprise the following data: Δ q is a change value of the sum of the total browsing volume and the forwarding volume in the time period from t1 to t 2; Δ t is the difference between t2 and t 1; Δ p ═ Δ q/. DELTA.t, where t1 and t2 are the time points and Δ t is the set variable parameter.
3. The internet public opinion monitoring and analyzing method according to claim 2, wherein the risk rating is classified as follows:
Δ p is 0 to 160, the hazard grade is first grade, and the hazard color is green;
Δ p is greater than 160 and not greater than 300, the hazard classification is a second level, and the hazard color is blue;
the delta p is more than 300 and not more than 600, the danger grade is third grade, and the danger color is orange;
Δ p is greater than 600 and not greater than 750, the hazard grade is fourth grade, and the hazard color is red;
Δ p is greater than 750, the hazard scale is fifth, and the hazard color is purple.
4. The method for monitoring and analyzing internet public opinion of claim 1, wherein the data collection content includes text information, facial expression information, video information and audio information; the channels for data collection comprise microblogs, WeChat, posts, forums and live broadcast platforms; the data analysis statistical items comprise browsing amount, forwarding amount, praise amount and comment amount.
5. The method as claimed in claim 4, wherein in the data statistics, the information collected from the text information by the word segmentation technique is counted according to a first viewpoint, a second viewpoint and a third viewpoint, and the support amount of each viewpoint in the same time is counted to reflect the bias of the public opinion.
6. The method for internet public opinion monitoring and analysis according to claim 3, wherein the danger level is higher than or equal to a fourth level and is a high danger level.
7. The method for monitoring and analyzing network public opinion of claim 3, characterized in that the event windows are located at different positions of the central display large screen (4) according to the different danger levels.
8. The method of claim 1, wherein the dynamic model display includes a geographic map, a temperature map, a line graph, and a fan graph; displaying on a geographical map according to the dangerous color temperature map, so as to facilitate visual understanding of the regional distribution condition, wherein the data of the geographical map is according to the geographical position information of public opinion publishers in data acquisition; the abscissa of the line graph is time, and the ordinate is browsing amount, forwarding amount, praise amount and appraisal amount; the fan-shaped chart is the ratio of three viewpoints, the sum of the ratio of the three viewpoints is 100%, and the proportion of the viewpoint tendency of people in public sentiment can be conveniently and visually and rapidly known according to the data analysis and statistics.
9. The method of claim 1, wherein in the dynamic model display, the display refresh time of the data from the first level to the fifth level in the risk level sequence is T1, T2, T3, T4 and T5, and T1 to T5 are all assigned parameters, so that when a person surveys and observes the data, the display refresh time of each data is balanced, more resources are provided for the time of the highest risk level, the data is more accurate, and the person can command decisions.
10. The device based on the network public opinion monitoring and analyzing method is characterized by comprising a public platform (1) which is a netizen user side, a background server (3) captures contents on the public platform (1) through the Internet (2), an upper computer (5) is used for operating system data of background workers, and a central display large screen (4) is used for displaying current concerned events.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110789737.6A CN113468427A (en) | 2021-07-13 | 2021-07-13 | Network public opinion monitoring and analyzing method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110789737.6A CN113468427A (en) | 2021-07-13 | 2021-07-13 | Network public opinion monitoring and analyzing method and device |
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| Publication Number | Publication Date |
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| CN113468427A true CN113468427A (en) | 2021-10-01 |
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| CN202110789737.6A Withdrawn CN113468427A (en) | 2021-07-13 | 2021-07-13 | Network public opinion monitoring and analyzing method and device |
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| CN (1) | CN113468427A (en) |
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2021
- 2021-07-13 CN CN202110789737.6A patent/CN113468427A/en not_active Withdrawn
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Application publication date: 20211001 |
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