CN111611385A - Flight monitoring and early warning system and method based on public opinion analysis - Google Patents
Flight monitoring and early warning system and method based on public opinion analysis Download PDFInfo
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Abstract
The invention provides a flight monitoring and early warning system and method based on public sentiment analysis. The invention monitors the flight public opinion information in real time in the whole network; preprocessing a flight public opinion text to obtain accurate flight public opinion category and origin of the public opinion; clustering texts, aggregating the same flight public sentiments of different sources, and integrating the occurrence reasons and the occurrence areas of the flight special public sentiments; screening hot flight public sentiments by using a hot algorithm, and carrying out early warning and sending; the flight public sentiments in different regions are counted, and the function of monitoring and early warning of regional aviation public sentiments is achieved; continuously monitoring the hot flight public opinion processing process through distributed crawlers, and calculating the trend of heat variation; and analyzing the emotion guidance of the flight public sentiment in real time by using the emotion classification model, and giving an early warning on the negative public sentiment in time. The invention gives the guidance of the occurrence reason, the region and the public opinion sentiment of the flight public opinion and continuously tracks the progress of the hot flight public opinion, thereby achieving the early warning purpose of important dynamic public opinion of the flight.
Description
Technical Field
The invention relates to the technical field of civil aviation, in particular to a flight monitoring and early warning system and method based on public sentiment analysis.
Background
In recent years, the aviation field is rapidly developed, and the travel by taking a flight becomes a more and more common transportation mode. Meanwhile, with the high-speed development of the internet, the network is used as a carrier, and public sentiment is used as a core, so that the influence set of the network public sentiment becomes more and more important. Valuable flight public opinion information mined from the network public opinions can master the global dynamics of flights in time, discover important and hot flight public opinions in time and promote the development of the aviation industry more effectively.
However, at the present stage, there is no complete flight monitoring and early warning method based on public opinion analysis, which can monitor important and hot flight public opinion information in time and early warn the important public opinion dynamic on duty in time.
For the reasons, a flight monitoring and early warning method based on public opinion analysis is produced. By the method, flight public opinion crisis and hot public opinions can be early-warned in time, the emotion guidance of the flight public opinion occurrence reason, region and public opinion is given, and the progress of the hot flight public opinion is continuously tracked, so that the early warning purpose of important dynamic public opinions of flights is achieved.
The flight monitoring and early warning method based on public opinion analysis solves the problems, monitors flight public opinion information in real time, analyzes the flight public opinion in detail in multiple dimensions, screens out important and hot flight information in time, and sends early warning.
Disclosure of Invention
The invention provides a flight monitoring and early warning system and method based on public sentiment analysis, which at least solve the problems that the flight monitoring and early warning method based on the public sentiment analysis is not complete in the related technology, important and hot flight public sentiment information can be monitored in time, and the dynamic state of important public sentiment on duty can be early warned in time.
According to one aspect of the invention, a flight monitoring and early warning system based on public opinion analysis is provided, which comprises: the flight public opinion early warning monitoring subsystem, flight public opinion early warning analysis subsystem, flight early warning send subsystem, the flight public opinion early warning monitoring subsystem includes that the flight is whole to be monitored module and the module is tracked to the flight key, and the flight public opinion early warning analysis subsystem includes: the system comprises a flight public opinion classification module, a flight public opinion aggregation module, a flight public opinion importance calculation module, a flight public opinion emotion analysis module and a flight public opinion reason analysis module; the flight early warning sending subsystem comprises: flight accident early warning module, regional flight major incident early warning module, flight negative public opinion early warning module, other flight hot spot early warning module, wherein:
the flight public opinion early warning and monitoring subsystem is responsible for monitoring flight public opinions in a whole network and continuously tracking and monitoring key and hot flight public opinions;
the flight public opinion early warning analysis subsystem analyzes key and hot flight public opinions, analyzes occurrence areas, flight categories, public opinion guidance, reasons and development trends of the flight public opinions, and comprises the following steps:
the flight public opinion classification module analyzes the category of flight public opinion and the occurrence source of the flight public opinion;
after receiving the data analyzed by the flight public opinion classification module, the flight public opinion aggregation module aggregates different acquisition sources of the same flight public opinion into the same category;
the flight public opinion importance calculating module scores the acquired source quantity, the acquired source, the network attention, the sending time and the public opinion category of the flight public opinion according to the analysis result of the flight public opinion aggregating module, sorts the scored public opinion according to popularity and importance, screens out the important flight public opinion, sends the important flight public opinion to a flight public opinion early warning monitoring subsystem, and continues to monitor the public opinion development;
and the flight public opinion early warning sending subsystem is used for timely classifying and sending the hot spots and important flight public opinions obtained by the analysis of the flight public opinion early warning analysis subsystem.
Optionally, in the flight public opinion early warning analysis subsystem, the flight public opinion emotion analysis module performs public opinion emotion analysis on the flight public opinion, determines the emotion category of the public opinion, performs category marking, and marks the negative public opinion flight public opinion in a repeated manner.
Optionally, in the flight public opinion early warning analysis subsystem, the flight public opinion reason analysis module integrates analysis results of the flight public opinion classification module, the flight public opinion aggregation module, the flight public opinion importance calculation module and the flight public opinion emotion analysis module, and extracts occurrence reasons of flight key and hot public opinions.
Optionally, in the flight public opinion importance calculating module, after receiving the development of the hot public opinion continuously tracked by the flight public opinion early warning monitoring subsystem, recalculating the importance of the hot public opinion, recording the popularity values at different times, and generating a popularity trend graph.
Optionally, after obtaining the analysis result of the flight public opinion early warning analysis subsystem, the flight early warning sending subsystem classifies the result, classifies the early warning public opinion into a flight accident early warning module, a regional flight major event early warning module, a flight negative public opinion early warning module and other flight hotspot early warning modules, and after the early warning information classification, the flight early warning sending subsystem sends the early warning information in time, wherein:
the flight accident early warning module is responsible for early warning the source, flight and reason of the major flight accident;
the regional flight major event early warning module is responsible for regional flight major event early warning and sending regional flight trend and public opinion reasons;
the flight negative public opinion early warning module is used for issuing negative public opinion flights in a key manner;
and the other flight hotspot early warning module is used for sending other flight public opinions with high attention.
According to another aspect of the invention, a flight monitoring and early warning method based on public opinion analysis is also provided, which comprises the following steps:
step 1, monitoring flight public sentiments in a whole network, and continuously tracking and monitoring key and hot flight public sentiments;
step 2, analyzing key and hot flight public sentiments, analyzing occurrence areas, flight categories, public sentiment guides, reasons and development trends of the flight public sentiments, and specifically:
carrying out category analysis and regional analysis on the flight public sentiment;
clustering different source public sentiments of the same flight public sentiment to form the same public sentiment;
calculating the importance degree of the flight public sentiment, and scoring the attention heat;
carrying out emotion classification and identification on the flight public sentiment;
analyzing and extracting the public opinion reasons of the flight public opinions;
and 3, timely classifying and sending the analyzed hot spots and important flight public opinions.
Optionally, the substeps of performing category analysis and regional analysis on the flight public sentiment are as follows:
step 1.1, judging the flight public opinion category described by the public opinion, and classifying the flight public opinion category in detail;
step 1.2, judging the origin of each flight public sentiment;
and 1.3, carrying out statistical sequencing on the flight public opinions of the same category, and carrying out statistical sequencing on the flight public opinions of different regions.
Optionally, the substep of calculating the importance of the flight public opinion and scoring the attention enthusiasm is as follows:
3.1, calculating the source number of different sources of the same flight public sentiment;
3.2, calculating the attention degree of the flight public opinion comprises the following steps: viewing quantity, comment quantity and forwarding quantity;
3.3, identifying the publishing source of the flight public opinion;
3.4, weighting values of the public opinion types of different flights;
3.5, calculating the sending time of the flight public sentiment;
and 3.6, integrating the data in the steps 3.1, 3.3, 3.4 and 3.5 to calculate the importance and attention of the flight.
Optionally, carry out the categorised discernment of emotion to the flight public sentiment, the flight public sentiment can be divided into different public sentiment emotional guidance classification, include: positive, negative and neutral, the negative public opinion guidance information of flight public opinion is marked in emphasis.
Optionally, the analyzed hot spots and important flight public opinions are sent in a classified manner in time, and the specific content is as follows:
the source, flight and reason of the major flight accident are early-warned;
carrying out regional flight major event early warning, and sending regional flight trend and public opinion reasons;
releasing negative public opinion flights in a key way;
and sending the public opinions of other types of flights with high attention.
The invention has the beneficial effects that:
the embodiment of the invention can timely warn the flight public opinion crisis and the hot spot public opinion through the flight public opinion monitoring, the flight public opinion analysis and the flight public opinion early warning transmission, give the flight public opinion occurrence reason, the region and public opinion emotion guidance, and continuously track the hot spot flight public opinion progress, thereby achieving the purpose of early warning the important public opinions of the flights.
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 application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a block diagram of a flight monitoring and early warning system based on public opinion analysis according to the present invention;
FIG. 2 is a general flowchart of a flight monitoring and early warning system based on public opinion analysis according to the present invention;
FIG. 3 is a flow chart of flight public opinion early warning and monitoring based on flight monitoring early warning of public opinion analysis according to the present invention;
FIG. 4 is a flow chart of a flight public opinion early warning analysis subsystem of the flight monitoring early warning based on public opinion analysis according to the present invention;
fig. 5 is a flow chart of a flight early warning transmission subsystem of the flight monitoring early warning based on public sentiment analysis according to the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The embodiment provides a flight monitoring and early warning method based on public opinion analysis, which comprises the following steps:
step 1, monitoring flight public sentiments in a whole network, and continuously tracking and monitoring key and hot flight public sentiments;
step 2, analyzing key and hot flight public sentiments, analyzing occurrence areas, flight categories, public sentiment guides, reasons and development trends of the flight public sentiments, and specifically:
carrying out category analysis and regional analysis on the flight public sentiment;
clustering different source public sentiments of the same flight public sentiment to form the same public sentiment;
calculating the importance degree of the flight public sentiment, and scoring the attention heat;
carrying out emotion classification and identification on the flight public sentiment;
analyzing and extracting the public opinion reasons of the flight public opinions;
and 3, timely classifying and sending the analyzed hot spots and important flight public opinions.
In this embodiment, the substeps of performing category analysis and regional analysis on the flight public sentiment are as follows:
step 1.1, judging the flight public opinion category described by the public opinion, and classifying the flight public opinion category in detail;
step 1.2, judging the origin of each flight public sentiment;
and 1.3, carrying out statistical sequencing on the flight public opinions of the same category, and carrying out statistical sequencing on the flight public opinions of different regions.
In this embodiment, the importance degree of the flight public opinion is calculated, and the sub-step of scoring the attention enthusiasm is as follows:
3.1, calculating the source number of different sources of the same flight public sentiment;
3.2, calculating the attention degree of the flight public opinion comprises the following steps: viewing quantity, comment quantity and forwarding quantity;
3.3, identifying the publishing source of the flight public opinion;
3.4, weighting values of the public opinion types of different flights;
3.5, calculating the sending time of the flight public sentiment;
and 3.6, integrating the data in the steps 3.1, 3.3, 3.4 and 3.5 to calculate the importance and attention of the flight.
In this embodiment, the emotion classification and identification is performed on the flight public sentiment, and the flight public sentiment is divided into different public sentiment guidance categories, including: positive, negative and neutral, the negative public opinion guidance information of flight public opinion is marked in emphasis.
In this embodiment, the analyzed hot spots and important flight public opinions are sent in a classified manner in time, and the specific content is as follows:
the source, flight and reason of the major flight accident are early-warned;
carrying out regional flight major event early warning, and sending regional flight trend and public opinion reasons;
releasing negative public opinion flights in a key way;
and sending the public opinions of other types of flights with high attention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The embodiment also provides a flight monitoring and early warning system based on public opinion analysis, which is used for implementing the above embodiments and preferred embodiments, and the description of the system is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
The flight monitoring and early warning system based on public opinion analysis of the embodiment comprises: the flight public opinion early warning monitoring subsystem, flight public opinion early warning analysis subsystem, flight early warning send subsystem, the flight public opinion early warning monitoring subsystem includes that the flight is whole to be monitored module and the module is tracked to the flight key, and the flight public opinion early warning analysis subsystem includes: the system comprises a flight public opinion classification module, a flight public opinion aggregation module, a flight public opinion importance calculation module, a flight public opinion emotion analysis module and a flight public opinion reason analysis module; the flight early warning sending subsystem comprises: flight accident early warning module, regional flight major incident early warning module, flight negative public opinion early warning module, other flight hot spot early warning module, wherein:
the flight public opinion early warning and monitoring subsystem is responsible for monitoring flight public opinions in a whole network and continuously tracking and monitoring key and hot flight public opinions;
the flight public opinion early warning analysis subsystem analyzes key and hot flight public opinions, analyzes occurrence areas, flight categories, public opinion guidance, reasons and development trends of the flight public opinions, and comprises the following steps:
the flight public opinion classification module analyzes the category of flight public opinion and the occurrence source of the flight public opinion;
after receiving the data analyzed by the flight public opinion classification module, the flight public opinion aggregation module aggregates different acquisition sources of the same flight public opinion into the same category;
the flight public opinion importance calculating module scores the acquired source quantity, the acquired source, the network attention, the sending time and the public opinion category of the flight public opinion according to the analysis result of the flight public opinion aggregating module, sorts the scored public opinion according to popularity and importance, screens out the important flight public opinion, sends the important flight public opinion to a flight public opinion early warning monitoring subsystem, and continues to monitor the public opinion development;
the flight public opinion importance calculating module judges according to the public opinions analyzed by the flight public opinion aggregating module, selects important and hot flight public opinions, sends a continuous monitoring task, the flight public opinion early warning monitoring subsystem receives the task, continuously monitors the received public opinions, and sends the monitoring result to the flight public opinion early warning analyzing subsystem for continuous analysis;
and the flight public opinion early warning sending subsystem is used for timely classifying and sending the hot spots and important flight public opinions obtained by the analysis of the flight public opinion early warning analysis subsystem.
In this embodiment, in the flight public opinion early warning analysis subsystem, the flight public opinion emotion analysis module performs public opinion emotion analysis on the flight public opinion, determines the emotion category of the public opinion, performs category marking, and re-marks the negative public opinion flight public opinion.
In this embodiment, in the flight public opinion early warning analysis subsystem, the flight public opinion reason analysis module integrates the analysis results of the flight public opinion classification module, the flight public opinion aggregation module, the flight public opinion importance calculation module and the flight public opinion emotion analysis module, and extracts the occurrence reasons of the flight key and the hot public opinion.
In this embodiment, in the flight public opinion importance calculating module, after receiving the development of the hot public opinions continuously tracked by the flight public opinion early warning monitoring subsystem, the importance of the hot public opinions is recalculated, and the popularity values at different times are recorded to generate the popularity trend graph.
In this embodiment, after obtaining the analysis result of the flight public opinion early warning analysis subsystem, the flight early warning sending subsystem classifies the result, classifies the early warning public opinion into the flight accident early warning module, the regional flight major event early warning module, the flight negative public opinion early warning module, and the other flight hotspot early warning module, and after the early warning information classification, the flight early warning sending subsystem sends the early warning information in time, wherein:
the flight accident early warning module is responsible for early warning the source, flight and reason of the major flight accident;
the regional flight major event early warning module is responsible for regional flight major event early warning and sending regional flight trend and public opinion reasons;
the flight negative public opinion early warning module is used for issuing negative public opinion flights in a key manner;
and the other flight hotspot early warning module is used for sending other flight public opinions with high attention.
The principles of the invention are analyzed in detail below with reference to the accompanying drawings:
as shown in fig. 1, the invention is a block diagram of a flight monitoring and early warning system based on public sentiment analysis, mainly comprising: the flight public opinion early warning system comprises a flight public opinion early warning monitoring subsystem, a flight public opinion early warning analysis subsystem and a flight early warning sending subsystem. As shown in fig. 2, the distributed public opinion monitoring subsystem monitors the flight public opinions of the whole network in real time, captures valuable information and stores the information into the database, and the flight public opinion early warning analysis subsystem begins to analyze the collected data and performs classification analysis of the flight public opinions, aggregation analysis of the flight public opinions, importance calculation analysis of the flight public opinions, emotion analysis of the flight public opinions and reason analysis of the flight public opinions. And the valuable and important flight public opinion information is classified in the flight early warning sending subsystem and is respectively divided into flight accident early warning, regional flight large event early warning, flight negative public opinion early warning and other flight hotspot public opinion early warning. And the flight early warning sending subsystem is used for timely early warning and issuing the classified early warning information.
In the flight public opinion early warning monitoring subsystem, distributed real-time flight data collection is realized, the collected data of the current day is stored in a database, and historical data is also stored in the database. As shown in fig. 3, the flight public opinion early warning and monitoring subsystem receives continuous monitoring tasks of important and hot public opinions from the flight analysis system while performing the whole network monitoring, and stores subsequent information of the continuously monitored important and hot public opinions into the database for the flight public opinion early warning and analysis subsystem to continue analyzing.
The flight public opinion early warning analysis subsystem acquires the acquired flight public opinion information from the database, performs flight public opinion category analysis and flight public opinion source analysis on the acquired data, and then performs statistics on the analysis result. And aggregating the flight public opinions, and classifying the same flight public opinions from different sources. And calculating the popularity and importance degree score of the flight in the classified public opinion category in a public opinion importance calculating system of the flight. Then, important flight public sentiments are sequenced, and the aviation public sentiments are judged to need to be continuously monitored. And sending a monitoring task to a flight public opinion early warning monitoring subsystem, continuously monitoring the development of flight public opinions, calculating the popularity of the monitored public opinion follow-up results in real time, and generating a flight public opinion popularity trend graph. And carrying out public opinion emotion guidance judgment on the flight public opinions in the emotion analysis module, and mainly marking the negative flight public opinions. And extracting important public opinion reasons of the flight hotspots in the flight public opinion reason analysis module. And the flight public opinion early warning analysis subsystem integrates the analysis to judge the flight public opinion needing early warning.
And after receiving the early warning information of the flight public opinion early warning analysis subsystem, the flight early warning sending subsystem classifies the information into flight accident early warning, a regional flight major event early warning module, flight negative public opinion early warning and other flight hot spot public opinion early warning, and then carries out early warning sending in time.
As shown in fig. 3, the monitoring method of the flight public opinion early warning monitoring subsystem of the invention comprises the following steps:
step 1, a flight public opinion early warning monitoring subsystem sets monitoring frequency and sends a monitoring task.
And 2, carrying out distributed data monitoring by the flight public opinion early warning monitoring subsystem, and collecting flight public opinion data.
And 3, collecting and judging which flight public sentiments need to be continuously monitored and developed trends from the flight public sentiment early warning analysis subsystem, and continuously monitoring the flight public sentiments.
As shown in fig. 4, the flow chart of the flight public opinion early warning analysis subsystem of the invention includes the following steps:
in step 1, after the flight public opinion early warning monitoring subsystem acquires the flight public opinion, the flight public opinion early warning analysis subsystem starts to analyze the flight public opinion. The substeps of the specific step 1 are as follows:
step 1.1, the analysis system starts to judge the flight type of the public opinion description and classifies the flight type in detail.
And 1.2, judging the origin of each flight public opinion.
And 1.3, carrying out statistical sequencing on the flight public opinions of the same category, and carrying out statistical sequencing on the flight public opinions of different regions.
In step 2, after flight category and regional analysis is completed, the analysis result is delivered to a flight public opinion aggregation module, information from different sources of the same flight public opinion is aggregated into the same type of public opinion, and a public opinion information abstract of the same type of flight public opinion is extracted.
And 3, after the public sentiment aggregation of the flights is completed, carrying out flight public sentiment importance calculation on the public sentiments. The module can analyze and calculate the importance of the flight according to different dimensions, and the detailed process is as follows:
3.1, calculating the source number of different sources of the same flight public sentiment.
3.2, calculating the attention degree of the flight public opinion comprises the following steps: viewing quantity, comment quantity, forwarding quantity.
And 3.3, identifying the publishing source of the flight public opinion.
And 3.4, weighting values of the public opinion types of different flights.
And 3.5, calculating the sending time of the flight public sentiment.
And 3.6, integrating the data in the steps 3.1, 3.3, 3.4 and 3.5 to calculate the importance and popularity of the flight public opinion.
Step 4, in the flight public opinion emotion analysis module, the flight public opinion can be divided into different public opinion emotion categories, including: positive, negative, neutral. The negative public opinion guide information of the flight public opinion is marked in an important way.
And (5) the flight public opinion reason analysis module extracts the flight public opinion reasons according to the results in the steps 1, 2, 3 and 4.
As shown in fig. 5, the flow chart of the flight warning transmission subsystem of the present invention includes the following steps:
and step 1, receiving early warning information of a flight public opinion early warning analysis subsystem.
And 2, classifying the early warning information into flight accident early warning, regional flight great event early warning, flight negative public opinion early warning and other flight hot public opinion early warning.
And 3, early warning and sending the classified flight public sentiments in time.
The flight early warning sending subsystem comprises the following specific modules and functions:
1. and the flight accident early warning module is used for early warning the source, flight and reason of the major flight accident.
2. The regional flight major event early warning module is used for performing regional flight major event early warning and sending regional flight trend and public opinion reason.
3. And the flight negative public opinion early warning module is used for issuing negative public opinion flights in a key manner.
4. And the other flight hotspot public opinion early warning module sends other flight public opinions with high attention.
After the flight early warning, the important public sentiment is issued to continue the monitoring task to the flight public sentiment early warning monitoring subsystem, and the important and hot public sentiment flights are tracked continuously.
In summary, the embodiment of the invention timely warns the flight public opinion crisis and the hot public opinion through the flight public opinion monitoring, the flight public opinion analysis and the flight public opinion early warning transmission, gives the flight public opinion occurrence reason, the region and public opinion emotion guidance, and continuously tracks the hot flight public opinion progress, thereby achieving the early warning purpose of important public opinions of the flight.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. 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. Flight monitoring early warning system based on public opinion analysis, its characterized in that includes: the flight public opinion early warning monitoring subsystem, flight public opinion early warning analysis subsystem, flight early warning send subsystem, the flight public opinion early warning monitoring subsystem includes that the flight is whole to be monitored module and the module is tracked to the flight key, and the flight public opinion early warning analysis subsystem includes: the system comprises a flight public opinion classification module, a flight public opinion aggregation module, a flight public opinion importance calculation module, a flight public opinion emotion analysis module and a flight public opinion reason analysis module; the flight early warning sending subsystem comprises: flight accident early warning module, regional flight major incident early warning module, flight negative public opinion early warning module, other flight hot spot early warning module, wherein:
the flight public opinion early warning and monitoring subsystem is responsible for monitoring flight public opinions in a whole network and continuously tracking and monitoring key and hot flight public opinions;
the flight public opinion early warning analysis subsystem analyzes key and hot flight public opinions, analyzes occurrence areas, flight categories, public opinion guidance, reasons and development trends of the flight public opinions, and comprises the following steps:
the flight public opinion classification module analyzes the category of flight public opinion and the occurrence source of the flight public opinion;
after receiving the data analyzed by the flight public opinion classification module, the flight public opinion aggregation module aggregates different acquisition sources of the same flight public opinion into the same category;
the flight public opinion importance calculating module scores the acquired source quantity, the acquired source, the network attention, the sending time and the public opinion category of the flight public opinion according to the analysis result of the flight public opinion aggregating module, sorts the scored public opinion according to popularity and importance, screens out the important flight public opinion, sends the important flight public opinion to a flight public opinion early warning monitoring subsystem, and continues to monitor the public opinion development;
and the flight public opinion early warning sending subsystem is used for timely classifying and sending the hot spots and important flight public opinions obtained by the analysis of the flight public opinion early warning analysis subsystem.
2. The system of claim 1, wherein in the flight public opinion early warning analysis subsystem, the flight public opinion emotion analysis module performs public opinion emotion analysis on flight public opinions, determines emotion categories of the public opinions, performs category marking, and highlights negative public opinion flight public opinions.
3. The system of claim 1, wherein in the flight public opinion early warning and analyzing subsystem, the flight public opinion reason analyzing module integrates the analysis results of the flight public opinion classifying module, the flight public opinion aggregating module, the flight public opinion importance calculating module and the flight public opinion analyzing module to extract the occurrence reasons of the flight key and the hot public opinions.
4. The system of claim 1, wherein in the flight public opinion importance calculating module, after receiving the development of the hotspot public opinion continuously tracked by the flight public opinion early warning monitoring subsystem, the importance of the hotspot public opinion is recalculated, and the popularity values at different times are recorded to generate a popularity trend graph.
5. The system of claim 1, wherein the flight early warning transmission subsystem classifies results after obtaining the analysis results of the flight public opinion early warning analysis subsystem, classifies early warning public opinions into a flight accident early warning module, a regional flight major event early warning module, a flight negative public opinion early warning module and other flight hot spot early warning modules, and after the early warning information classification, the flight early warning transmission subsystem transmits early warning information in time, wherein:
the flight accident early warning module is responsible for early warning the source, flight and reason of the major flight accident;
the regional flight major event early warning module is responsible for regional flight major event early warning and sending regional flight trend and public opinion reasons;
the flight negative public opinion early warning module is used for issuing negative public opinion flights in a key manner;
and the other flight hotspot early warning module is used for sending other flight public opinions with high attention.
6. A flight monitoring and early warning method based on public opinion analysis is characterized by comprising the following steps:
step 1, monitoring flight public sentiments in a whole network, and continuously tracking and monitoring key and hot flight public sentiments;
step 2, analyzing key and hot flight public sentiments, analyzing occurrence areas, flight categories, public sentiment guides, reasons and development trends of the flight public sentiments, and specifically:
carrying out category analysis and regional analysis on the flight public sentiment;
clustering different source public sentiments of the same flight public sentiment to form the same public sentiment;
calculating the importance degree of the flight public sentiment, and scoring the attention heat;
carrying out emotion classification and identification on the flight public sentiment;
analyzing and extracting the public opinion reasons of the flight public opinions;
and 3, timely classifying and sending the analyzed hot spots and important flight public opinions.
7. The method as claimed in claim 6, wherein the substeps of analyzing the category and analyzing the region of the flight public opinion are as follows:
step 1.1, judging the flight public opinion category described by the public opinion, and classifying the flight public opinion category in detail;
step 1.2, judging the origin of each flight public sentiment;
and 1.3, carrying out statistical sequencing on the flight public opinions of the same category, and carrying out statistical sequencing on the flight public opinions of different regions.
8. The method of claim 6, wherein the calculating the importance of flight consensus and scoring the enthusiasm are sub-steps of:
3.1, calculating the source number of different sources of the same flight public sentiment;
3.2, calculating the attention degree of the flight public opinion comprises the following steps: viewing quantity, comment quantity and forwarding quantity;
3.3, identifying the publishing source of the flight public opinion;
3.4, weighting values of the public opinion types of different flights;
3.5, calculating the sending time of the flight public sentiment;
and 3.6, integrating the data in the steps 3.1, 3.3, 3.4 and 3.5 to calculate the importance and attention of the flight.
9. The method as claimed in claim 6, wherein the emotion classification recognition is performed on flight public opinions, and the flight public opinions are divided into different public opinion emotion guidance categories, comprising: positive, negative and neutral, the negative public opinion guidance information of flight public opinion is marked in emphasis.
10. The method as claimed in claim 6, wherein the analyzed hot spots and important flight opinions are sent in a classified manner in time, and the specific content is as follows:
the source, flight and reason of the major flight accident are early-warned;
carrying out regional flight major event early warning, and sending regional flight trend and public opinion reasons;
releasing negative public opinion flights in a key way;
and sending the public opinions of other types of flights with high attention.
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