CN104933093B - The monitoring of regional public sentiment and decision support system (DSS) based on big data and method - Google Patents
The monitoring of regional public sentiment and decision support system (DSS) based on big data and method Download PDFInfo
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Abstract
A kind of monitoring of regional public sentiment and decision support system (DSS) based on big data：Information collection memory module carries out structured storage management for the public sentiment source information to acquisition, forms the regional big data public sentiment knowledge base of real-time update；Data preprocessing module forms complete orderly data set for being pre-processed to the data in regional big data public sentiment knowledge base；Big data the analysis of public opinion module carries out the analysis of public opinion for the much-talked-about topic etc. to specified requirements and trend prediction obtains the analysis of public opinion and trend prediction result；Public sentiment monitoring and early warning, decision assistant module are tracked, manage and are dredged for carrying out monitoring in real time to the customization public sentiment excavated and analyzed to the sensitive word in predefined sensitive dictionary；It is notified to policymaker by message, short message, lettergram mode in station by public sentiment is customized；Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic management and analysis report management.
Description
Technical field
The present invention relates to the analysis of public opinion technical field, more particularly to a kind of the monitoring of regional public sentiment and decision based on big data
Auxiliary system and method.
Background technology
As Internet technology brings the rise of Internet communication, due to the virtual of network itself, concealment, diversity,
The features such as permeability and randomness, more people are ready to show true idea using this channel of network.
Network has been acknowledged as " fourth media " after newspaper, broadcast, TV, becomes the master of reflection Social Public Feelings
Want one of carrier.Since internet has the characteristics that virtual, concealment, diversity, permeability and randomness, more and more
Netizen gladly by BBS forums, blog, news follow-up post, the channels such as be posted and express viewpoint, propagating thought and strengthened.Net
The formation of the free public opinion of network, uncontrolled information are propagated, the lag of mass medium Building of Professional Ethics causes network information flow
The out of control of amount generates negative impact to stablizing for society.
If guiding is not good at, negative network public-opinion will form social public security larger threat.Relevant departments are come
Say how to reinforce timely monitoring, the effectively guiding, and the positive neutralizing to network public opinion crisis to network public opinion, to safeguarding
Social stability promotes national development to have important practical significance.
With the fast development of China Internet, regional public sentiment monitoring has become weight in the analysis of public opinion action
The part wanted.Regional public sentiment monitoring and decision assistant method and system of this kind based on big data, seek to use public sentiment skill
Art carries out public sentiment monitoring analysis to given area and crowd, finds given area and the public sentiment crisis of crowd, timely processing in advance
Crisis.For the public opinion public sentiment that some can have an impact society, public sentiment monitoring is carried out, event can be timely understood
Dynamically, these mistakes, unfounded public opinion are correctly guided.Given area society can also be grasped by implementing regional public sentiment monitoring
The meeting will of the people, by understanding mood, attitude, view and the opinion and behavior disposition of each stratum common people in this area, then to thing
Part makes correct decision.
Foreign study present situation
TDT topic detection and trackings (the Topic Detection and Tracking) system in the U.S. is most well-known net
Network the analysis of public opinion system, this concept result from 1996 earliest, at that time U.S. national defense Advanced Research Projects Agency (DARPA) basis
Reality demand, propose to develop it is a kind of can in the case of no manual intervention automatic decision news data stream theme need
It asks.In 1997, researcher started this demand and carries out Primary Study, and achieves some initial achievements, including establishes one
For the beforehand research corpus of TDT researchs, the content of research includes finding the consistent text fragment of inherent theme, that is, provide one
The continuous data flow (text or voice) of section, allows system to judge the boundary between two events, and can automatic decision new events
Appearance and old affair part reproduction.Since 1998, under DARPA supports, American National Standard technical research institute
(NIST) topic detection and tracking international conference will be held every year, and carries out corresponding system evaluation.
TDT has related generally to 5 subtasks, is respectively：Report cutting, new report identification, association identification, topic detection and
Topic Tracking.By complementing each other between this 5 subtasks, organic whole just constitutes, and TDT projects accumulate under study for action
Abundant Algorithm of documents categorization found to the topic solved at present in Internet public opinion analysis and tracing problem has done and draws well
Lead effect.
The practical effect of existing internet public feelings monitoring system is unsatisfactory, and main cause is existing system to adopting
The emotional orientation analysis of the comment text collected is insufficient, does not establish good solution.If do not had in monitoring system
Analysis to the Sentiment orientation of comment text will prevent it that cannot be established from effectively being automatically analyzed to internet public feelings
Effective and quick public sentiment monitoring and warning mechanism is played, and then not can effectively prevent sprawling of the various negative reports in internet.
On the other hand, though the system of public sentiment monitoring analysis is more at present, based on big data specifically for area, the public sentiment of region is supervised
Control and decision system do not have but.Existing public sentiment monitoring system is in each impact factor of the regional public sentiment of no targetedly consideration
In the case of, can not obtain targetedly, accurate public sentiment monitored results and provide effective information to aid in decision.
Invention content
In order to solve existing public sentiment monitoring system in the feelings without targetedly considering each impact factor of regional public sentiment
Under condition, can not obtain targetedly, accurate public sentiment monitored results and the shortcomings that effective information to aid in decision is provided, carry
Go out a kind of regional public sentiment monitoring based on big data and decision support system (DSS) and method.
A kind of monitoring of regional public sentiment and decision support system (DSS) based on big data comprising following module：
Information collection memory module, for acquiring the public sentiment source information in specific region in real time, and to the public sentiment source of acquisition
Information carries out structured storage management, forms the regional big data public sentiment knowledge base of real-time update；
Data preprocessing module is formed complete for being pre-processed to the data in regional big data public sentiment knowledge base
Orderly data set provides available data to be analyzed for subsequent big data the analysis of public opinion module；
Big data the analysis of public opinion module, the characteristics of being used for according to regional public sentiment monitoring analysis, for the relevant influence of public sentiment
The factor establishes analytic unit library, analysis model library, carries out data model configuration by configurator in analysis model library, and pass through
Data mining algorithm carries out mining analysis, much-talked-about topic, medium type angle of propagation to specified requirements to the data model of configuration
Reprinting relational angle, media region angle of distribution between degree, media report importance angle, the just negative sound angle of media, media
Degree etc. carries out the analysis of public opinion and trend prediction obtains the analysis of public opinion and trend prediction result；
Public sentiment monitoring and early warning, decision assistant module, for the sensitive word in predefined sensitive dictionary, according to predefined quick
The customization public sentiment of the sensitive word various aspects of interest to regional the analysis of public opinion in sense dictionary is oriented excavation, analysis；And
According to the analysis of public opinion and trend prediction as a result, sensitive word in predefined sensitivity dictionary to the customization public sentiment excavating and analyze into
Row monitoring tracking in real time is managed and is dredged；And for by station in message, short message, lettergram mode will customization public sentiment notify to
Policymaker；
Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, collection tube
Reason, Content Management, special topic management and analysis report management.
A kind of monitoring of regional public sentiment and decision assistant method based on big data comprising following steps：
S1, in real time the public sentiment source information in acquisition specific region, and structured storage is carried out to the public sentiment source information of acquisition
Management, forms the regional big data public sentiment knowledge base of real-time update；
S2, the data in regional big data public sentiment knowledge base are pre-processed, complete orderly data set is formed, after being
Continuous big data the analysis of public opinion module provides available data to be analyzed；
S3, according to regional public sentiment monitoring analysis the characteristics of, for the relevant impact factor of public sentiment, establish analytic unit library,
Analysis model library carries out data model configuration by configurator in analysis model library, and by data mining algorithm to configuration
Data model carries out mining analysis, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance angle
Degree, the reprinting relational angle between the just negative sound angle of media, media, media region distribution angle etc. carry out the analysis of public opinion and become
Gesture is predicted to obtain the analysis of public opinion and trend prediction result；
Sensitive word in S4, predefined sensitive dictionary, according to the sensitive word in predefined sensitive dictionary to regional public sentiment
The customization public sentiment for analyzing various aspects of interest is oriented excavation, analysis；And according to the analysis of public opinion and trend prediction as a result,
Sensitive word in predefined sensitivity dictionary carries out monitoring tracking in real time, management to the customization public sentiment excavated and analyzed and dredges
It leads；And for being notified to policymaker by message, short message, lettergram mode in standing by public sentiment is customized；
S5, to public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, specially
Topic management and analysis report management.
The monitoring of regional public sentiment and decision support system (DSS) and method provided by the invention based on big data have beneficial below
Effect：
1. stored by information collection, data acquisition, running efficiency of system are improved, solves the scalability of system and steady
It is qualitative.It can automatically data acquire, automatic identification language and website coding are supported to a variety of webpage formats, various characters collection
The acquisition of coding.By data prediction, it is effectively guaranteed in the case where data volume increasingly increases severely, what system high-speed calculated
Efficiency.Meanwhile the mode of big data parallel memorizing, also solve the scalability of system, real-time and stability.
2. improving the promptness to event response, decision assistant support is provided.By big data the analysis of public opinion, solve existing
The public feelings information of some the analysis of public opinion system acquisitions works for regional public sentiment monitoring analysis, " nothing caused by specific aim deficiency
With information " excessively, caused by when an event initially occurs, fail to find and be pocessed in time, finally make thing
State becomes serious, the expensive situation of the cost change of processing.The public sentiment monitoring and early warning function of the present invention, ensure that can be timely
The dynamic of understanding event, the most quick negative public sentiment of early warning, correctly guides mistake, unfounded public opinion at the first time.Certainly
Plan miscellaneous function can reach the social will of the people of grasp, by the mood, attitude, view, opinion and the row that understand given area resident
For tendency, provides auxiliary to various decisions and support.
3. improving coverage rate, comprehensive and accuracy that regional public feelings information obtains.The letter of current public sentiment system acquisition
Breath, often more commonization information, inevitably unilateral for doing regional the analysis of public opinion, and the data only collected by tradition
Analysis, although ensure that certain fairness, due to not considering that enough impact factors, effect are examined relative to the present invention's
The global data for having considered more impact factors still can be far short of what is expected.So the present invention can improve the comprehensive of acquisition of information, carry
The coverage rate of high data and the accuracy of analysis.
Description of the drawings
Fig. 1 be the present invention implement based on big data regional public sentiment monitoring and decision support system (DSS) structure diagram；
Fig. 2 is the structure diagram of big data the analysis of public opinion module in Fig. 1；
Fig. 3 be the present invention implement based on big data regional public sentiment monitoring and decision assistant method flow diagram；
Fig. 4 is the sub-process figure of step S3 in Fig. 3.
Specific implementation mode
As shown in Figure 1, a kind of monitoring of regional public sentiment and decision support system (DSS) based on big data, which is characterized in that it is wrapped
Include following module：
Information collection memory module, for acquiring the public sentiment source information in specific region in real time, and to the public sentiment source of acquisition
Information carries out structured storage management, forms the regional big data public sentiment knowledge base of real-time update.
Optionally, the source of the public sentiment source information in information collection memory module in specific region include news analysis,
BBS, blog, polymerization news, mhkc, community network media, microblogging, QQ group, e-newspaper, public number of wechat, news move answer
Use program；Acquisition mode includes Meta Search Engine technology, is climbed using the self-defined sources URL of universal search engine and sample frequency, search
Take specific public sentiment source information on internet.
The main source of public feelings information under network environment has：News analysis, BBS, blog, polymerization news (RSS) etc..It should
The information collection memory module of invention mainly uses Meta Search Engine technology, utilizes the self-defined sources URL of universal search engine and sampling
Frequency, extensively search crawl specific public sentiment source information on internet.Access pass-through needs registration, all types of websites logged in, opinion
Altar, blog, multi-document summarization acquire comprehensively；It is adopted by the way that Meta Search Engine acquisition, RSS acquisitions and specified sites acquisition etc. are a variety of
Collection approach realizes acquisition the whole network covering；It is encoded, is supported to a variety of webpage formats, a variety of words by automatic identification language and website
The acquisition of symbol collection coding.
Aim at regional public sentiment monitoring customization, the acquisition oriented in real time, the whole network monitoring, with accurately automatic information collecting engine
It is comprehensively three-dimensional to monitor the network medias such as news, forum, mhkc, blog, community in real time for core, while to microblogging, QQ groups, electricity
The New Medias such as public number of sub- newpapers and periodicals, wechat, news movement app carry out data acquisition.And it based on the available data that can be integrated, carries
The quality and efficiency of high public sentiment supervision.New reprinting is produced for newly generated public feelings information or existing public sentiment, it is new with
The variations such as note are acquired, and are fed back, dynamic real-time update at the first time.Based on big data Hadoop parallel memorizing technologies, carry out
The structured storage management of the efficient index of data integrates the related data of data with existing and network acquisition, forms real-time update
Regional big data public sentiment knowledge base；Given area correlation public sentiment is actively discovered and collects, in conjunction with the available data that can be integrated, branch
The regional big data public sentiment monitoring of support and the operation of decision assistant method and system.A variety of retrieval modes can intuitively provide public sentiment prison
Control early warning.
Data preprocessing module is formed complete for being pre-processed to the data in regional big data public sentiment knowledge base
Orderly data set provides available data to be analyzed for subsequent big data the analysis of public opinion module.
Optionally, carrying out pretreatment to the data in regional big data public sentiment knowledge base in data preprocessing module includes：
IP positioning, network address validity check are carried out to the data in regional big data public sentiment knowledge base, then pass through webpage
Parsing, automatic identification, relatedness computation, document No. processing network public-opinion extractive technique carry out public feelings information extraction；Using
The automatic duplicate removal of article removes duplicate data automatically with article similarity analysis discriminating step；Pass through text automatic identification and extraction skill
Art, title automatic identification and extractive technique intelligently obtain public sentiment text, intelligence abstract and keyword；By garbage information filtering,
Stop words filtration step carries out the pretreatment of data.
Junk information can be filtered out, useful information is left.
Big data the analysis of public opinion module, the characteristics of being used for according to regional public sentiment monitoring analysis, for the relevant influence of public sentiment
The factor establishes analytic unit library, analysis model library, carries out data model configuration by configurator in analysis model library, and pass through
Data mining algorithm carries out mining analysis, much-talked-about topic, medium type angle of propagation to specified requirements to the data model of configuration
Reprinting relational angle, media region angle of distribution between degree, media report importance angle, the just negative sound angle of media, media
Degree etc. carries out the analysis of public opinion and trend prediction obtains the analysis of public opinion and trend prediction result.
As shown in Fig. 2, optionally, big data the analysis of public opinion module includes：
Information extracting unit the characteristics of being used for according to regional public sentiment monitoring analysis, for the relevant impact factor of public sentiment, leads to
Cross Chinese word segmentation, Metadata Extraction, autoabstract carry out information extraction to the much-talked-about topic of specified requirements.
Public sentiment studies and judges unit, for by subject detection, much-talked-about topic extraction, sensitive subjects identification to the information of extraction into
Row public sentiment is studied and judged.
Negative judging unit, analysis is passed judgement on for passing through, and studying and judging result to public sentiment is negatively judged.
Automatic taxon classifies automatically to negative judging result for genetic algorithm category analysis related algorithm.
Specific analysis unit, for carrying out specific analysis to automatic taxon.
Hot spot cluster cell, for finding and tracking by automated intelligent cluster, incident analysis network public-opinion hot spot
Technology carries out hot spot cluster.
Extensive diagnostic unit, for propagating trend analysis, sentiment classification, media distribution/importance analysis, Area distribution
The network public-opinions sentiment classification technologies such as analysis are extended mining analysis, obtain to the probabilistic forecasting of future condition, obtain
The analysis of public opinion and trend prediction result.
Big data the analysis of public opinion module can dynamic tracking information, find trend, find hot spot, can with multi-angle formed point
Analysis considerably increases precision of analysis and comprehensive.
The realization of big data the analysis of public opinion module is natural language Intelligent treatment technology and big data depth digging technology
Commercialization and functionization.The characteristics of module will be according to regional public sentiment monitoring analysis, for given area change in policy, current events political affairs
Control, given area economic life, the social people's livelihood, anti-corruption, social morality, the various regional public sentiments such as resident population-employment it is relevant
Impact factor establishes analytic unit library, analysis model library, carries out model configuration by analysis model configurator, and pass through data
Mining algorithm carries out mining analysis to the data model of configuration, to the much-talked-about topic, medium type propagation angle, matchmaker of specified requirements
Body report reprinting relational angle, media region distribution angle between importance angle, the just negative sound angle of media, media etc. into
Row the analysis of public opinion and trend prediction.
Big data the analysis of public opinion flow is as shown in Figure 3, studied and judged by information extraction, public sentiment, negatively judged, classified automatically,
Specific analysis, hot spot cluster and extensive diagnostic and etc. realize one by one.
Public sentiment monitoring and early warning, decision assistant module, for the sensitive word in predefined sensitive dictionary, according to predefined quick
The customization public sentiment of the sensitive word various aspects of interest to regional the analysis of public opinion in sense dictionary is oriented excavation, analysis；And
According to the analysis of public opinion and trend prediction as a result, sensitive word in predefined sensitivity dictionary to the customization public sentiment excavating and analyze into
Row monitoring tracking in real time is managed and is dredged；And for by station in message, short message, lettergram mode will customization public sentiment notify to
Policymaker.
The module will be to emphasis public sentiment by the modes early warning such as message, SMS, mail notification in station, and ultimately forms
The analysis of public opinion is reported, is grasped public sentiment dynamic comprehensively for decision-making level, is made right opinion guiding, provide analysis foundation, accomplish in time
Monitoring, auxiliary supervision provide aid decision support for the formulation of the relevant policies such as economic support.
Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, collection tube
Reason, Content Management, special topic management and analysis report management.
Back Administration Module includes mainly Classification Management, user and rights management, keyword management, acquisition management, content
Management, special topic management and analysis report manage this seven different functions.This seven different functions can be as needed, flexibly matches
Current task is set, in backstage automatic running.Wherein analysis report management module supports the post-production of public sentiment to handle, provides carriage
The Classification Management of feelings bulletin, chart and history public sentiment bulletin.
The present embodiment can be directed in current existing unitized public sentiment monitoring system, and public sentiment monitors the incisions such as impact factor
The no specific aim of point, a kind of limitation of the not accurate enough practicality of analysis result, it is proposed that ground based on big data vertically segmented
The method and system of area's public sentiment monitoring and decision assistant, solves the problems, such as that regional public sentiment monitoring is difficult to full automation.
The present invention is stored using big data and depth digging technology, to the monitoring of regional public sentiment and decision assistant, to find region in advance
Public sentiment crisis, timely processing Crisis, this relatively weak public sentiment monitoring direction have carried out beneficial complement.
As shown in figure 3, the embodiment of the present invention also provide it is a kind of based on big data regional public sentiment monitoring and decision assistant side
Method comprising following steps：
S1, in real time the public sentiment source information in acquisition specific region, and structured storage is carried out to the public sentiment source information of acquisition
Management, forms the regional big data public sentiment knowledge base of real-time update.
Optionally, the source of the public sentiment source information in step S1 in specific region includes news analysis, BBS, blog, polymerization
News, mhkc, community network media, microblogging, QQ groups, e-newspaper, public number of wechat, news mobile applications；Acquisition side
Formula includes Meta Search Engine technology, and using the self-defined sources URL of universal search engine and sample frequency, search crawls specific on internet
Public sentiment source information.
S2, the data in regional big data public sentiment knowledge base are pre-processed, complete orderly data set is formed, after being
Continuous big data the analysis of public opinion module provides available data to be analyzed.
Optionally, carrying out pretreatment to the data in regional big data public sentiment knowledge base in step S2 includes：
IP positioning, network address validity check are carried out to the data in regional big data public sentiment knowledge base, then pass through webpage
Parsing, automatic identification, relatedness computation, document No. processing network public-opinion extractive technique carry out public feelings information extraction；Using
The automatic duplicate removal of article removes duplicate data automatically with article similarity analysis discriminating step；Pass through text automatic identification and extraction skill
Art, title automatic identification and extractive technique intelligently obtain public sentiment text, intelligence abstract and keyword；By garbage information filtering,
Stop words filtration step carries out the pretreatment of data.
S3, according to regional public sentiment monitoring analysis the characteristics of, for the relevant impact factor of public sentiment, establish analytic unit library,
Analysis model library carries out data model configuration by configurator in analysis model library, and by data mining algorithm to configuration
Data model carries out mining analysis, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance angle
Degree, the reprinting relational angle between the just negative sound angle of media, media, media region distribution angle etc. carry out the analysis of public opinion and become
Gesture is predicted to obtain the analysis of public opinion and trend prediction result.
Optionally, as shown in figure 4, step S3 includes：
S31, according to regional public sentiment monitoring analysis the characteristics of, for the relevant impact factor of public sentiment, pass through Chinese word segmentation, member
Data pick-up, autoabstract carry out information extraction to the much-talked-about topic of specified requirements.
S32, the information progress public sentiment of extraction is studied and judged by subject detection, much-talked-about topic extraction, sensitive subjects identification.
S33, it is analyzed by passing judgement on, result is studied and judged to public sentiment and is negatively judged.
S34, genetic algorithm category analysis related algorithm classify automatically to negative judging result.
S35, specific analysis is carried out to automatic taxon.
S36, find that carrying out hot spot with tracer technique gathers by automated intelligent cluster, incident analysis network public-opinion hot spot
Class.
S37, the networks carriages such as trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis are propagated
Feelings sentiment classification technology is extended mining analysis, obtains the probabilistic forecasting to future condition, obtains the analysis of public opinion and becomes
Gesture prediction result.
Sensitive word in S4, predefined sensitive dictionary, according to the sensitive word in predefined sensitive dictionary to regional public sentiment
The customization public sentiment for analyzing various aspects of interest is oriented excavation, analysis；And according to the analysis of public opinion and trend prediction as a result,
Sensitive word in predefined sensitivity dictionary carries out monitoring tracking in real time, management to the customization public sentiment excavated and analyzed and dredges
It leads；And for being notified to policymaker by message, short message, lettergram mode in standing by public sentiment is customized.
S5, to public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, specially
Topic management and analysis report management.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory, memory, read-only memory,
Electrically programmable ROM, electricity can sassafras except in programming ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field institute it is public
In the storage medium for the arbitrary other forms known.
It is understood that for those of ordinary skill in the art, can be conceived with the technique according to the invention and be done
Go out various other corresponding changes and deformation, and all these changes and deformation should all belong to the protection model of the claims in the present invention
It encloses.
Claims (6)
1. a kind of monitoring of regional public sentiment and decision support system (DSS) based on big data, which is characterized in that it includes following module：
Information collection memory module, for acquiring the public sentiment source information in specific region in real time, and to the public sentiment source information of acquisition
Structured storage management is carried out, the regional big data public sentiment knowledge base of real-time update is formed；
Data preprocessing module is formed complete orderly for being pre-processed to the data in regional big data public sentiment knowledge base
Data set, provide available data to be analyzed for subsequent big data the analysis of public opinion module, including to regional big data carriage
Data in feelings knowledge base carry out IP positioning, network address validity check, then pass through web analysis, automatic identification, degree of correlation meter
It calculates, document No. processing network public-opinion extractive technique carries out public feelings information extraction；It is similar to article using the automatic duplicate removal of article
Degree analysis and distinguishing step removes duplicate data automatically；Pass through text automatic identification and extractive technique, title automatic identification and extraction
Technical intelligence obtains public sentiment text, intelligence abstract and keyword；Data are carried out by garbage information filtering, stop words filtration step
Pretreatment；
Big data the analysis of public opinion module, the characteristics of for according to regional public sentiment monitoring analysis, for the relevant impact factor of public sentiment,
Analytic unit library, analysis model library are established, data model configuration is carried out by configurator in analysis model library, and dig by data
It digs algorithm and mining analysis is carried out to the data model of configuration, to the much-talked-about topic, medium type propagation angle, media of specified requirements
Report that the reprinting relational angle between the just negative sound angle of important angle, media, media, media region distribution angle carry out public sentiment
Analysis and trend prediction obtain the analysis of public opinion and trend prediction result；
Public sentiment monitoring and early warning, decision assistant module, for the sensitive word in predefined sensitive dictionary, according to predefined sensitive word
The customization public sentiment of the sensitive word various aspects of interest to regional the analysis of public opinion in library is oriented excavation, analysis；And according to
The analysis of public opinion and trend prediction are as a result, the sensitive word in predefined sensitivity dictionary carries out in fact the customization public sentiment excavated and analyzed
When monitoring tracking, manage and dredge；And for being notified to decision by message, short message, lettergram mode in standing by public sentiment is customized
Person；
Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, acquisition management, content
Management, special topic management and analysis report management.
2. the regional public sentiment monitoring based on big data and decision support system (DSS) as described in claim 1, it is characterised in that：
The source of public sentiment source information in information collection memory module in specific region includes news analysis, BBS, blog, polymerization
News, mhkc, community network media, microblogging, QQ groups, e-newspaper, public number of wechat, news mobile applications；Acquisition side
Formula includes Meta Search Engine technology, using by the self-defined sources URL of search engine and sample frequency, and search crawls specific on internet
Public sentiment source information.
3. the regional public sentiment monitoring based on big data and decision support system (DSS) as described in claim 1, it is characterised in that：
Big data the analysis of public opinion module includes：
Information extracting unit, the characteristics of being used for according to regional public sentiment monitoring analysis, for the relevant impact factor of public sentiment, in
Literary participle, Metadata Extraction, autoabstract carry out information extraction to the much-talked-about topic of specified requirements；
Public sentiment studies and judges unit, for carrying out carriage to the information of extraction by subject detection, much-talked-about topic extraction, sensitive subjects identification
Feelings are studied and judged；
Negative judging unit, analysis is passed judgement on for passing through, and studying and judging result to public sentiment is negatively judged；
Automatic taxon classifies automatically to negative judging result for genetic algorithm category analysis related algorithm；
Specific analysis unit, for carrying out specific analysis to automatic taxon；
Hot spot cluster cell, for passing through automated intelligent cluster, the discovery of incident analysis network public-opinion hot spot and tracer technique
Carry out hot spot cluster；
Extensive diagnostic unit, for propagating trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis
Network public-opinion sentiment classification technology is extended mining analysis, obtains the probabilistic forecasting to future condition, obtains public sentiment point
Analysis and trend prediction result.
4. a kind of monitoring of regional public sentiment and decision assistant method based on big data, which is characterized in that it includes the following steps：
S1, in real time the public sentiment source information in acquisition specific region, and structured storage management is carried out to the public sentiment source information of acquisition,
Form the regional big data public sentiment knowledge base of real-time update；
S2, the data in regional big data public sentiment knowledge base are pre-processed, forms complete orderly data set, be subsequent
Big data the analysis of public opinion module provides available data to be analyzed, include to the data in regional big data public sentiment knowledge base into
Row IP positioning, network address validity check, then handle network by web analysis, automatic identification, relatedness computation, document No.
Public sentiment extractive technique carries out public feelings information extraction；It is gone automatically using the automatic duplicate removal of article and article similarity analysis discriminating step
Fall duplicate data；By text automatic identification and extractive technique, title automatic identification and extractive technique intelligence acquisition public sentiment text,
Intelligence abstract and keyword；The pretreatment of data is carried out by garbage information filtering, stop words filtration step；
S3, according to regional public sentiment monitoring analysis the characteristics of, for the relevant impact factor of public sentiment, establish analytic unit library, analysis
Model library carries out data model configuration by configurator in analysis model library, and by data mining algorithm to the data of configuration
Model carries out mining analysis, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance angle, matchmaker
Reprinting relational angle, media region distribution angle between the just negative sound angle of body, media carry out the analysis of public opinion and trend prediction
Obtain the analysis of public opinion and trend prediction result；
Sensitive word in S4, predefined sensitive dictionary, according to the sensitive word in predefined sensitive dictionary to regional the analysis of public opinion
The customization public sentiment of various aspects of interest is oriented excavation, analysis；And according to the analysis of public opinion and trend prediction as a result, predetermined
Sensitive word in the sensitive dictionary of justice carries out monitoring tracking in real time to the customization public sentiment excavated and analyzed, manages and dredge；And
For being notified to policymaker by message, short message, lettergram mode in station by public sentiment is customized；
S5, public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic are managed
Reason and analysis report management.
5. the regional public sentiment monitoring based on big data and decision assistant method as claimed in claim 4, it is characterised in that：
The source of public sentiment source information in step S1 in specific region include news analysis, BBS, blog, polymerization news, mhkc,
Community network media, microblogging, QQ groups, e-newspaper, public number of wechat, news mobile applications；Acquisition mode is searched including member
Rope technology, using the self-defined sources URL of universal search engine and sample frequency, search crawls specific public sentiment source letter on internet
Breath.
6. the regional public sentiment monitoring based on big data and decision assistant method as claimed in claim 4, it is characterised in that：
Step S3 includes：
S31, according to regional public sentiment monitoring analysis the characteristics of, for the relevant impact factor of public sentiment, pass through Chinese word segmentation, metadata
It extracts, autoabstract carries out information extraction to the much-talked-about topic of specified requirements；
S32, the information progress public sentiment of extraction is studied and judged by subject detection, much-talked-about topic extraction, sensitive subjects identification；
S33, it is analyzed by passing judgement on, result is studied and judged to public sentiment and is negatively judged；
S34, genetic algorithm category analysis related algorithm classify automatically to negative judging result；
S35, specific analysis is carried out to automatic taxon；
S36, it finds to carry out hot spot cluster with tracer technique by automated intelligent cluster, incident analysis network public-opinion hot spot；
S37, trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis network public-opinion tendency are propagated
Property analytical technology is extended mining analysis, obtains the probabilistic forecasting to future condition, obtains the analysis of public opinion and trend prediction
As a result.
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