CN108255832A - public sentiment processing system and method - Google Patents
public sentiment processing system and method Download PDFInfo
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- CN108255832A CN108255832A CN201611235623.2A CN201611235623A CN108255832A CN 108255832 A CN108255832 A CN 108255832A CN 201611235623 A CN201611235623 A CN 201611235623A CN 108255832 A CN108255832 A CN 108255832A
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- 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
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- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The embodiment of the present application provides a kind of public sentiment processing system and method.The system comprises:First terminal, second terminal, server-side;First terminal is set as determining the corresponding public sentiment rank of public sentiment event according to the frequency that keyword in public sentiment event occurs, and the process limited of public sentiment event is determined according to the corresponding public sentiment rank of public sentiment event, it will be determined that the public sentiment event in process limited is stored in the server-side;Second terminal is set as obtaining the public sentiment event that the process limited is determined from server-side, and to being determined that the public sentiment event in process limited performs counte-rplan.The embodiment of the present application determines public sentiment grade and process limited according to the frequency that predetermined keyword in public sentiment event occurs, and public sentiment event is sent to server-side, second terminal obtains the public sentiment event in determining public sentiment time limit from server-side, counte-rplan are performed to public sentiment event, so that public sentiment event obtains timely reply processing.
Description
Technical field
The invention relates to field of computer technology more particularly to a kind of public sentiment processing systems and method.
Background technology
Public sentiment monitors, and internet information acquisition technology and information intelligent treatment technology is integrated, by believing internet mass
Breath automatic crawl, automatic taxonomic clustering, topic detection, focus on special topic, the network public-opinion monitoring and Special Topics in Journalism for realizing user chase after
The information requirements such as track form the analysis such as bulletin, report, chart as a result, grasping masses' thought dynamic comprehensively for client, make correct
Public-opinion directing provides analysis foundation.
Existing public sentiment monitoring system mainly realizes the acquisition to public sentiment event and analytic function, to public sentiment event into one
During step processing, it is impossible to carry out real-time tracing to the state of public sentiment event.For example, in food medicine field, when public sentiment event is more,
Food medicine supervision work personnel, which can not usually make public sentiment event, to be timely responded to (clarify negative report, respond, refuting a rumour
Deng), cause carrying out public sentiment the delay of control mistake best opportunity.
Therefore, how a kind of the system or method of public sentiment monitoring are provided, so that public sentiment event obtains timely processing, becomes existing
There is the technical issues of urgent need to resolve in technology.
Invention content
In view of the above problems, the application provides a kind of public sentiment processing system and method, overcomes the above problem or at least portion
It solves the above problems with dividing.
The application provides a kind of public sentiment processing system, including:First terminal, second terminal, server-side;
The first terminal is set as determining that the public sentiment event corresponds to according to the frequency that keyword in public sentiment event occurs
Public sentiment rank, and determine according to the corresponding public sentiment rank of the public sentiment event process limited of the public sentiment event, will be true
The public sentiment event for having determined the process limited is stored in the server-side;
The second terminal is set as obtaining the public sentiment event that the process limited is determined from the server-side, and to true
The public sentiment event for having determined the process limited performs counte-rplan.
Optionally, in the embodiment of the present application, the first terminal is in the frequency occurred according to keyword in public sentiment event
It determines to be also configured to before the corresponding public sentiment rank of the public sentiment event:The public sentiment event is acquired, and then obtains the public sentiment
The attribute information of event, the frequency occurred comprising keyword in the public sentiment event in the attribute information.
Optionally, in the embodiment of the present application, the first terminal is true according to the frequency that keyword in public sentiment event occurs
During the corresponding public sentiment rank of the fixed public sentiment event, including:
The frequency that keyword each in the public sentiment event occurs is weighted, the public sentiment event is obtained and corresponds to
Public sentiment numerical value;
Public sentiment numerical value value range corresponding from different public sentiment ranks is compared, to determine the public sentiment event
Corresponding public sentiment rank.
Optionally, in the embodiment of the present application, the second terminal is further arranged to:
The public sentiment event that the process limited is determined is obtained from the server-side by network request;
The public sentiment event that the process limited is determined is shown in the second terminal, with the institute to the process limited is determined
It states public sentiment event and performs counte-rplan.
Optionally, in the embodiment of the present application, the second terminal is in the public sentiment event to the process limited is determined
After performing counte-rplan, it is also configured to:
It will be to being determined that the public sentiment event in process limited performs the handling result deposit clothes that counte-rplan obtain
Business end.
The application provides a kind of method of public sentiment processing, including:
The corresponding public sentiment rank of the public sentiment event is determined, and according to institute according to the frequency that keyword in public sentiment event occurs
The process limited that the corresponding public sentiment rank of public sentiment event determines the public sentiment event is stated, the carriage in process limited will be determined
Facts part is stored in the server-side;
The public sentiment event that the process limited is determined is obtained from the server-side, and to determining described in the process limited
Public sentiment event performs counte-rplan.
Optionally, in the embodiment of the present application, described in the frequency that keyword occurs in the event according to public sentiment determines
It is further included before the corresponding public sentiment rank of public sentiment event:
The public sentiment event is acquired, and then obtains the attribute information of the public sentiment event, institute is included in the attribute information
State the frequency that keyword occurs in public sentiment event.
Optionally, in the embodiment of the present application, the frequency that keyword occurs in the event according to public sentiment determines the carriage
The corresponding public sentiment rank of facts part includes:
The frequency that keyword each in the public sentiment event occurs is weighted, the public sentiment event is obtained and corresponds to
Public sentiment numerical value;
Public sentiment numerical value value range corresponding from different public sentiment ranks is compared, to determine the public sentiment event
Corresponding public sentiment rank.
Optionally, in the embodiment of the present application, it is described that the public sentiment that the process limited is determined is obtained from the server-side
Event, and include to being determined that the public sentiment event in process limited performs counte-rplan:
The public sentiment event that the process limited is determined is obtained from the server-side by network request;
The public sentiment event that the process limited is determined is shown in the second terminal, with the institute to the process limited is determined
It states public sentiment event and performs counte-rplan.
Optionally, in the embodiment of the present application, it is determined that the public sentiment event in process limited performs reply at described pair
After scheme, further include:
It will be to being determined that the public sentiment event in process limited performs the handling result deposit clothes that counte-rplan obtain
Business end.
By above technical scheme as it can be seen that the embodiment of the present application is determined according to the frequency that predetermined keyword in public sentiment event occurs
Public sentiment grade and process limited, and the public sentiment event is sent to server-side, the second terminal is obtained from the server-side
It determines the public sentiment event in public sentiment time limit, counte-rplan is performed to the public sentiment event, so that public sentiment event obtains in time should
To processing.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or it will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Apply for some embodiments described in embodiment, for those of ordinary skill in the art, can also be obtained according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of structure chart of an embodiment of public sentiment processing system of the application;
Fig. 2 is a kind of flow chart of another embodiment of the method for public sentiment processing of the application;
Fig. 3 is a kind of flow chart of another embodiment of the method for public sentiment processing of the application;
Fig. 4 is a kind of flow chart of another embodiment of the method for public sentiment processing of the application;
Fig. 5 is a kind of structure chart of public sentiment processing system concrete application of the application;
Fig. 6 is the hardware architecture diagram for the electronic equipment that the application one performs public sentiment processing method.
Specific embodiment
The embodiment of the present application determines public sentiment grade and process limited according to the frequency that predetermined keyword in public sentiment event occurs,
And the public sentiment event is sent to server-side, the second terminal obtains the public sentiment thing in determining public sentiment time limit from the server-side
Part performs counte-rplan to the public sentiment event, so that public sentiment event obtains timely reply processing.
Certainly, implement any technical solution of the embodiment of the present application do not need necessarily to reach simultaneously more than it is all excellent
Point.
In order to which those skilled in the art is made to more fully understand the technical solution in the embodiment of the present application, below in conjunction with the application
The technical solution in the embodiment of the present application is clearly and completely described in attached drawing in embodiment, it is clear that described reality
It is only the embodiment of the present application part of the embodiment to apply example, instead of all the embodiments.Based on the implementation in the embodiment of the present application
Example, those of ordinary skill in the art's all other embodiments obtained should all belong to the range that the embodiment of the present application is protected.
Further illustrate that the embodiment of the present application implements with reference to the embodiment of the present application attached drawing.
Referring to Fig. 1, in the application one in the specific implementation, the public sentiment processing system includes:
First terminal 101 is set as determining that the public sentiment event corresponds to according to the frequency that keyword in public sentiment event occurs
Public sentiment rank, and determine according to the corresponding public sentiment rank of the public sentiment event process limited of the public sentiment event, will be true
The public sentiment event for having determined the process limited is stored in the server-side.
Specifically, in the present embodiment, the first terminal can be include hardware, software or embedded logic module or
The electronic device of the combination of this two or more class component, and be able to carry out by mobile communication function.For example, mobile communication equipment
Can be computer, smart mobile phone, tablet computer, laptop, net book, intelligent wearable device etc..
In the present embodiment, the server-side is understood to one group of service routine that can handle specific transactions logic, service
End can receive the network request (Network Request) that client is sent out, and make logical process according to the network request,
And return to client by result data is obtained after logical process.
In the present embodiment, the keyword can be preset as multiple.Specifically, web crawlers technology can be used, it can to having
It can generate and capture webpage information, and pass through participle skill on the platform (such as microblogging, wechat, mhkc, forum, community) of public feelings information
Art carries out word segmentation processing to the text data in webpage information and obtains multiple phrases, obtains the number that each phrase occurs, then lead to
The comparison of phrase and keyword is crossed, determines the frequency that the keyword occurs, to obtain public sentiment event and according to the height of frequency
It is low to determine the corresponding rank of public sentiment event.For example the frequency that keyword occurs is higher, then corresponds to the public sentiment rank of public sentiment event
It is higher.
In the present embodiment, according to the frequency of keyword height, the public sentiment rank can be divided into:
Blue early warning:The network user is low to the public sentiment event attention rate, and spread speed is slow, public sentiment event influence be confined to compared with
A small range is not converted to the possibility of behavior public opinion;
Yellow early warning:The network user is higher to the public sentiment event attention rate, and spread speed is medium, and public sentiment event influences limitation
In a certain range, it is not converted to the possibility of behavior public opinion;
Orange warning:The network user begins to focus on public sentiment event attention rate height, foreign media, and spread speed is fast, shadow
Sound has been diffused into very wide range, and public sentiment has the possibility for being converted into behavior public opinion;
Red early warning:The network user is high to the public sentiment event attention rate, and foreign media pays high attention to, and spread speed is very
Soon, it influences to be expanded to entire society, public sentiment will turn to behavior public opinion.
In the present embodiment, it is higher to preset public sentiment rank described in different public sentiment ranks and the correspondence in process limited,
It is shorter to the time limit of public sentiment event handling.Certainly, the public sentiment time limit personnel that can also be supervised work by food medicine change again manually.
In the present embodiment, the public sentiment event can be stored in the service by the first terminal by way of network request
End, so that the second terminal can obtain the public sentiment event from the server-side.
Second terminal 102 is set as obtaining the public sentiment event that the process limited is determined from the server-side, and to true
The public sentiment event for having determined the process limited performs counte-rplan.
Specifically, in the present embodiment, the second terminal can be include hardware, software or embedded logic module or
The electronic device of the combination of this two or more class component, and be able to carry out by mobile communication function.For example, mobile communication equipment
Can be computer, smart mobile phone, tablet computer, laptop, net book, intelligent wearable device etc..
Specifically, in the present embodiment, the mode of server-side available message push (Push Message), to described
Second terminal pushes the public sentiment event that the process limited is determined, so that the second terminal can obtain the public sentiment thing in time
Part.For example, C2DM (the Cloud to Device Messaging) frames increased income that can be provided by Google companies are realized
Message push service.
In the present embodiment, optionally, also the public sentiment event in process limited of determining can be shown in the second terminal.
In the present embodiment, optionally, the second terminal can be configured to look into the public sentiment event stored on server
It askes, change, delete operation.
Specifically, in the present embodiment, the reply operation to public sentiment event may include:To the clarification of public sentiment event, return
It answers, refute a rumour, scheduling of resource etc..The present embodiment determines public sentiment grade and place according to the frequency that predetermined keyword in public sentiment event occurs
The time limit is managed, and the public sentiment event is sent to server-side, the second terminal obtains the determining public sentiment time limit from the server-side
Public sentiment event, counte-rplan are performed to the public sentiment event, so that public sentiment event obtains timely reply processing.
Referring to Fig. 2, in the application one in the specific implementation, the method for public sentiment processing includes:
S201, the frequency occurred according to keyword in public sentiment event determine the corresponding public sentiment rank of the public sentiment event, and
The process limited of the public sentiment event is determined according to the corresponding public sentiment rank of the public sentiment event, the process limited will be determined
The public sentiment event is stored in the server-side.
S202, the public sentiment event that the process limited is determined is obtained from the server-side, and to the process limited is determined
The public sentiment event perform counte-rplan.
Specifically, step S201 can be performed by the first terminal in Fig. 1 corresponding embodiments, and step S202 is held by second terminal
Row, repeats no more in detail.
Referring to Fig. 3, in the application one in the specific implementation, the method for public sentiment processing includes:
S301, the acquisition public sentiment event, and then the attribute information of the public sentiment event is obtained, it is wrapped in the attribute information
The frequency occurred containing keyword in the public sentiment event.
Specifically, in the present embodiment, the attribute of the public sentiment event includes but not limited to:Public sentiment source, acquisition time,
Be related to classification, event title, spot, be related to unit, the number of casualties, time of origin, basic condition, speaker, report when
Between, the frequency of keyword and its appearance.
Specifically, in the present embodiment, after public sentiment event is obtained by web crawlers technology and participle technique, food medicine prison
It superintends and directs staff and can will obtain the corresponding attribute information of public sentiment event and be entered into system described in above-described embodiment, to complete carriage
The acquisition of facts part.
S302, the frequency occurred according to keyword in public sentiment event determine the corresponding public sentiment rank of the public sentiment event, and
The process limited of the public sentiment event is determined according to the corresponding public sentiment rank of the public sentiment event, the process limited will be determined
The public sentiment event is stored in the server-side;
S303, the public sentiment event that the process limited is determined is obtained from the server-side, and to the process limited is determined
The public sentiment event perform counte-rplan.
Specifically, the embodiment of the present application can be obtained from the server-side by network request and be determined described in the process limited
Public sentiment event;
The public sentiment event that the process limited is determined is shown in the second terminal, with the institute to the process limited is determined
It states public sentiment event and performs counte-rplan.
S304, the handling result that counte-rplan acquisition is performed to the public sentiment event in process limited is determined is stored in institute
State server-side.
Public sentiment event can be sent to clothes by the present embodiment in the handling result for performing counte-rplan acquisition by network request
Business end, so that first terminal obtains the newest handling result of public sentiment event.
In the present embodiment, step S302, S303 is respectively similar to step S201, S202 in above-mentioned Fig. 2 embodiments, in detail not
It repeats again.
It is another in the application in the specific implementation, the method for the public sentiment processing includes referring to Fig. 4:
S401, the frequency that keyword each in the public sentiment event occurs is weighted, obtains the public sentiment thing
The corresponding public sentiment numerical value of part;
Specifically, in the present embodiment, different keywords is in the pass different, different to the significance level in public sentiment event
Keyword can set different weights.Such as the significance level of keyword " death " is more important than keyword " sick and wounded ", it is therefore, preceding
Person sets the weights of bigger.
Specifically, in the present embodiment, after the frequency that keyword occurs is obtained, it is weighted, so that
It is more accurate to the judgement of public sentiment grade.
S402, public sentiment numerical value value range corresponding from different public sentiment ranks is compared, to determine the carriage
The corresponding public sentiment rank of facts part;
Specifically, in the present embodiment, different public sentiment ranks correspond to the value range difference of public sentiment numerical value.For example, public sentiment
The value range of numerical value is 0~10%, then corresponding blue early warning, and the value range of public sentiment numerical value is 10~20%, then corresponding yellow
Color early warning, the value range of public sentiment numerical value are 20~30%, then correspond to orange warning, the value range of public sentiment numerical value for more than
30%, then correspond to red early warning.
Specifically, the public sentiment numerical value is fallen into the corresponding public sentiment rank of public sentiment numerical value value range as the public sentiment
The public sentiment rank of event.
Data above only carries out the present embodiment ground adaptability and illustrates that numerical value of illustrating can be set according to practical application,
The present embodiment is defined not to this.
It S403, the process limited that the public sentiment event is determined according to the corresponding public sentiment rank of the public sentiment event, will be true
The public sentiment event for having determined the process limited is stored in the server-side;
S404, the public sentiment event that the process limited is determined is obtained from the server-side, and to the process limited is determined
The public sentiment event perform counte-rplan.
In the present embodiment, step S403, S404 is respectively similar to step S201, S202 in above-mentioned Fig. 2 embodiments, in detail not
It repeats again.
Different keywords is set different weights by the present embodiment, more accurate in the judgement to public sentiment grade so as to make.
Fig. 5 is a kind of structure chart of public sentiment processing system concrete application of the application, as shown in the figure:
Public sentiment monitors system 51 and public sentiment command system 52 can be connected respectively by network request with application service 53, applies
Service is connected with data center 54.Public sentiment monitoring system 51 is set to first terminal, public sentiment command system in above-described embodiment
52 are set to the second terminal in above-described embodiment.Application service 53 and data center 54 are set to the service in above-described embodiment
End.
Public sentiment management module 511, public sentiment warning and specially report module 512, public sentiment inquiry mould are included in public sentiment monitoring system 51
Block 513, statistical analysis module 514, configuration module 515.
Public sentiment management module 511 includes:Including data acquisition submodule 5111 is set as acquisition public sentiment event;Rank determines son
Module 5112 is set as determining the public sentiment rank of public sentiment event;Public sentiment distributes submodule 5113, is set as distribution public sentiment event;
Public sentiment reply processing submodule 5114, is set as carrying out reply processing to public sentiment event.
Public sentiment is warned to be included with specially report module 512:Public sentiment warns submodule 5121, is set as display public sentiment and is superior to spy
It defines the level other public sentiment event;The special man who brings news of appointment's module 5122 of public sentiment is set as generating public sentiment event and reports file, and send report text
Part.
Public sentiment enquiry module 513 include public sentiment inquire submodule 5131, be set as according to querying condition to public sentiment event into
Row inquiry.Querying condition includes but not limited to:Event title is related to classification, public sentiment rank, public sentiment source, scene.Statistics
Analysis module 514 includes:Alert level statistic submodule 5141 is set as counting public sentiment event according to alert level;
Reporting types statistic submodule 5142 is set as counting public sentiment event according to reporting types.When configuration module 515 includes
Limit configuration submodule 5151, is set as that the process limited of public sentiment event is configured.
Public sentiment command system 52 includes emergency command module 521, the public sentiment for being set as being superior to public sentiment specific rank
Event carries out emergency command processing;Major event reporting module 522 is set as carrying out major event to the other department of upper level
It reports.App (mobile application) module 523, may be configured as mobile terminal so that food medicine supervisor can in time to public sentiment event into
Row processing.
Fig. 6 is the hardware architecture diagram of some electronic equipments of the method that the application performs public sentiment processing.According to Fig. 6 institutes
Show, which includes:
One or more processors 601 and memory 602, in Fig. 6 by taking a processor 601 as an example.
The equipment for performing the method for public sentiment processing can also include:Input unit 603 and output device 603.
Processor 601, memory 602, input unit 603 and output device 604 can pass through bus or other modes
It connects, in Fig. 6 for being connected by bus.
Memory 602 is used as a kind of non-volatile computer readable storage medium storing program for executing, available for storing non-volatile software journey
Sequence, non-volatile computer executable program and module, the corresponding journey of method handled such as the public sentiment in the embodiment of the present application
Sequence instruction/module.Processor 601 is by running non-volatile software program, instruction and the mould of storage in the memory 602
Block, various function application and data processing so as to execute server realize public sentiment processing in above method embodiment
Method.
Memory 602 can include storing program area and storage data field, wherein, storing program area can store operation system
System, the required application program of at least one function;Storage data field can be stored to be created according to using for public sentiment processing unit
Data etc..In addition, memory 602 can include high-speed random access memory 602, nonvolatile memory can also be included
602, for example, at least a magnetic disk storage 602, flush memory device or other non-volatile solid state memories 602.At some
In embodiment, memory 602 is optional including relative to the remotely located memory 602 of processor 601, these remote memories
602 devices that can be handled by network connection to public sentiment.The example of above-mentioned network includes but not limited to internet, enterprises
Net, LAN, mobile radio communication and combinations thereof.
Input unit 603 can receive the number of input or the user of character information and the device of generation and public sentiment processing
Setting and function control it is related key signals input.Input unit 603 may include pressing the equipment such as module.
One or more of modules are stored in the memory 602, when by one or more of processors
During 601 execution, the method that the public sentiment in above-mentioned any means embodiment is handled is performed.
The said goods can perform the method that the embodiment of the present application is provided, and has the corresponding function module of execution method and has
Beneficial effect.The not technical detail of detailed description in the present embodiment, reference can be made to the method that the embodiment of the present application is provided.
The electronic equipment of the embodiment of the present application exists in a variety of forms, including but not limited to:
(1) mobile communication equipment:The characteristics of this kind equipment is that have mobile communication function, and to provide speech, data
It communicates as main target.This Terminal Type includes:Smart mobile phone (such as iPhone), multimedia handset, functional mobile phone and low
Hold mobile phone etc..
(2) super mobile personal computer equipment:This kind equipment belongs to the scope of personal computer, there is calculating and processing work(
Can, generally also have mobile Internet access characteristic.This Terminal Type includes:PDA, MID and UMPC equipment etc., such as iPad.
(3) portable entertainment device:This kind equipment can show and play multimedia content.The kind equipment includes:Audio,
Video player (such as iPod), handheld device, e-book and intelligent toy and portable car-mounted navigation equipment.
(4) server:The equipment for providing the service of calculating, the composition of server include processor 601, hard disk, memory, system
Bus etc., server is similar with general computer architecture, but due to needing to provide highly reliable service, in processing energy
Power, stability, reliability, safety, scalability, manageability etc. are more demanding.
(5) other have the function of the electronic device of data interaction.
The apparatus embodiments described above are merely exemplary, wherein the module illustrated as separating component can
To be or may not be physically separate, the component shown as module may or may not be physics mould
Block, you can be located at a place or can also be distributed on multiple network modules.It can be selected according to the actual needs
In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Labour in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should
Computer software product can store in a computer-readable storage medium, the computer readable recording medium storing program for performing include for
The readable form storage of computer (such as computer) or any mechanism of transmission information.For example, machine readable media is included only
Read memory (ROM), random access memory (RAM), magnetic disk storage medium, optical storage media, flash medium, electricity, light,
Sound or the transmitting signal of other forms (for example, carrier wave, infrared signal, digital signal etc.) etc., which includes
Some instructions are used so that computer equipment (can be personal computer, server or the network equipment etc.) perform it is each
Method described in certain parts of a embodiment or embodiment.
Finally it should be noted that:Above example is only to illustrate the technical solution of the embodiment of the present application rather than it is limited
System;Although the application is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that:Its
Still it can modify to the technical solution recorded in foregoing embodiments or which part technical characteristic is equal
It replaces;And these modifications or replacement, each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution
Spirit and scope.
Claims (10)
1. a kind of public sentiment processing system, which is characterized in that including:First terminal, second terminal, server-side;
The first terminal is set as determining the corresponding carriage of the public sentiment event according to the frequency that keyword in public sentiment event occurs
Feelings rank, and determine according to the corresponding public sentiment rank of the public sentiment event process limited of the public sentiment event, it will determine
The public sentiment event in process limited is stored in the server-side;
The second terminal is set as obtaining the public sentiment event that the process limited is determined from the server-side, and to determining
The public sentiment event in process limited performs counte-rplan.
2. system according to claim 1, which is characterized in that the first terminal goes out according to keyword in public sentiment event
Existing frequency determines to be also configured to before the corresponding public sentiment rank of the public sentiment event:The public sentiment event is acquired, and then is obtained
The attribute information of the public sentiment event, the frequency occurred comprising keyword in the public sentiment event in the attribute information.
3. system according to claim 1, which is characterized in that the first terminal occurs according to keyword in public sentiment event
Frequency when determining the corresponding public sentiment rank of the public sentiment event, including:
The frequency that keyword each in the public sentiment event occurs is weighted, obtains the corresponding carriage of the public sentiment event
Feelings numerical value;
Public sentiment numerical value value range corresponding from different public sentiment ranks is compared, to determine that the public sentiment event corresponds to
Public sentiment rank.
4. according to the method described in claim 1, it is characterized in that, the second terminal is further arranged to:
The public sentiment event that the process limited is determined is obtained from the server-side by network request;
Display determines the public sentiment event in process limited, with to being determined that the public sentiment event in process limited performs reply
Scheme.
5. according to the method described in claim 1, it is characterized in that, the second terminal is to determining described in the process limited
After public sentiment event performs counte-rplan, it is also configured to:
It will be to being determined that the public sentiment event in process limited performs the handling result deposit server-side that counte-rplan obtain.
A kind of 6. method of public sentiment processing, which is characterized in that including:
The corresponding public sentiment rank of the public sentiment event is determined, and according to the carriage according to the frequency that keyword in public sentiment event occurs
The corresponding public sentiment rank of facts part determines the process limited of the public sentiment event, and the public sentiment thing in process limited will be determined
Part is stored in server-side;
The public sentiment event that the process limited is determined is obtained from the server-side, and to the public sentiment in process limited is determined
Event performs counte-rplan.
7. the according to the method described in claim 6, it is characterized in that, frequency that keyword occurs in the event according to public sentiment
It determines to further include before the corresponding public sentiment rank of the public sentiment event:
The public sentiment event is acquired, and then obtains the attribute information of the public sentiment event, the carriage is included in the attribute information
The frequency that keyword occurs in facts part.
8. according to the method described in claim 6, it is characterized in that, the frequency that keyword occurs in the event according to public sentiment is true
Determine the corresponding public sentiment rank of the public sentiment event to include:
The frequency that keyword each in the public sentiment event occurs is weighted, obtains the corresponding carriage of the public sentiment event
Feelings numerical value;
Public sentiment numerical value value range corresponding from different public sentiment ranks is compared, to determine that the public sentiment event corresponds to
Public sentiment rank.
9. according to the method described in claim 6, it is characterized in that, described obtained from the server-side determines the process limited
The public sentiment event, and include to being determined that the public sentiment event in process limited performs counte-rplan:
The public sentiment event that the process limited is determined is obtained from the server-side by network request;
Display determines the public sentiment event in process limited, with to being determined that the public sentiment event in process limited performs reply
Scheme.
10. according to the method described in claim 6, it is characterized in that, the public sentiment thing in process limited is determined at described pair
After part performs counte-rplan, further include:
It will be to being determined that the public sentiment event in process limited performs the handling result deposit server-side that counte-rplan obtain.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109657914A (en) * | 2018-11-19 | 2019-04-19 | 平安科技(深圳)有限公司 | Information-pushing method, device, computer equipment and storage medium |
CN110225294A (en) * | 2019-07-08 | 2019-09-10 | 四川长虹电子***有限公司 | Automated video conference dispatching system |
CN110263238A (en) * | 2019-06-21 | 2019-09-20 | 浙江华坤道威数据科技有限公司 | A kind of public sentiment listening system based on big data |
CN113626718A (en) * | 2021-09-18 | 2021-11-09 | 广东电网有限责任公司广州供电局 | Man-machine interaction event processing method and system for enterprise management system |
CN113626722A (en) * | 2020-05-08 | 2021-11-09 | 国家广播电视总局广播电视科学研究院 | Public opinion guiding method, device, equipment and computer readable storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101853261A (en) * | 2009-11-23 | 2010-10-06 | 电子科技大学 | Network public-opinion behavior analysis method based on social network |
CN103473710A (en) * | 2013-08-20 | 2013-12-25 | 国家电网公司 | Graded handling method for faults of centralized operation and maintenance systems |
CN104408157A (en) * | 2014-12-05 | 2015-03-11 | 四川诚品电子商务有限公司 | Funnel type data gathering, analyzing and pushing system and method for online public opinion |
CN104657393A (en) * | 2013-11-25 | 2015-05-27 | 深圳市至高通信技术发展有限公司 | Public opinion analysis method and corresponding device |
CN104820629A (en) * | 2015-05-14 | 2015-08-05 | 中国电子科技集团公司第五十四研究所 | Intelligent system and method for emergently processing public sentiment emergency |
-
2016
- 2016-12-28 CN CN201611235623.2A patent/CN108255832A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101853261A (en) * | 2009-11-23 | 2010-10-06 | 电子科技大学 | Network public-opinion behavior analysis method based on social network |
CN103473710A (en) * | 2013-08-20 | 2013-12-25 | 国家电网公司 | Graded handling method for faults of centralized operation and maintenance systems |
CN104657393A (en) * | 2013-11-25 | 2015-05-27 | 深圳市至高通信技术发展有限公司 | Public opinion analysis method and corresponding device |
CN104408157A (en) * | 2014-12-05 | 2015-03-11 | 四川诚品电子商务有限公司 | Funnel type data gathering, analyzing and pushing system and method for online public opinion |
CN104820629A (en) * | 2015-05-14 | 2015-08-05 | 中国电子科技集团公司第五十四研究所 | Intelligent system and method for emergently processing public sentiment emergency |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109657914A (en) * | 2018-11-19 | 2019-04-19 | 平安科技(深圳)有限公司 | Information-pushing method, device, computer equipment and storage medium |
CN110263238A (en) * | 2019-06-21 | 2019-09-20 | 浙江华坤道威数据科技有限公司 | A kind of public sentiment listening system based on big data |
CN110263238B (en) * | 2019-06-21 | 2021-10-15 | 浙江华坤道威数据科技有限公司 | Big data-based public opinion listening system |
CN110225294A (en) * | 2019-07-08 | 2019-09-10 | 四川长虹电子***有限公司 | Automated video conference dispatching system |
CN113626722A (en) * | 2020-05-08 | 2021-11-09 | 国家广播电视总局广播电视科学研究院 | Public opinion guiding method, device, equipment and computer readable storage medium |
CN113626718A (en) * | 2021-09-18 | 2021-11-09 | 广东电网有限责任公司广州供电局 | Man-machine interaction event processing method and system for enterprise management system |
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