CN104933093A - Regional public opinion monitoring and decision-making auxiliary system and method based on big data - Google Patents
Regional public opinion monitoring and decision-making auxiliary system and method based on big data Download PDFInfo
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Abstract
A regional public opinion monitoring and decision-making auxiliary system based on big data comprises an information acquisition and storage module, a data pre-processing module, a big data public opinion analysis module, a public opinion monitoring, early warning and decision-making auxiliary module and a background management module, wherein the information acquisition and storage module is used for carrying out structuralized storage management on acquired public opinion source information to form a regional big data public opinion knowledge base which is updated in real time; the data pre-processing module is used for pre-processing data in the regional big data public opinion knowledge base to form a complete and ordered data set; the big data public opinion analysis module is used for carrying out public opinion analysis and tendency prediction on hot topics with appointed conditions and the like to obtain a public opinion analysis and tendency prediction result; the public opinion monitoring, early warning and decision-making auxiliary module is used for carrying out real-time monitoring and tracking, management and persuasion on customized public opinions dug and analyzed by sensitive word pairs in a pre-defined sensitive word bank, and announcing the customized public opinions to a decision maker in manners of in-station messages, short messages and mails; and the background management module is used for carrying out public opinion information classification management, user and authority 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, particularly a kind of monitoring of the regional public sentiment based on large data and decision support system (DSS) and method.
Background technology
Along with Internet technology brings the rise of Internet communication, due to the feature such as virtual, disguised, diversity, perviousness and randomness of network itself, more people are ready to adopt this channel of network to show real idea.
Network has been acknowledged as " fourth media " after newspaper, broadcast, TV, becomes one of main carriers of reflection Social Public Feelings.There is due to internet the features such as virtual, disguised, diversity, perviousness and randomness, increasing netizen gladly by BBS forum, blog, news follow-up post, the channel such as to be posted and to express viewpoint, propagating thought being strengthened.The formation of freedom of network public opinion, out-of-control Information Communication, the delayed of mass medium Building of Professional Ethics cause the out of control on the impact that the stable generation of society is negative of network information flow volume.
Be not good at if guided, negative network public-opinion will form larger threat to social public security.Concerning relevant departments, how to strengthen the timely monitoring to network public opinion, effectively guide, and actively dissolving network public opinion crisis, to maintaining social stability, promoting, national development has important practical significance.
Along with the fast development of China Internet, regional public sentiment monitoring has become a part important in the analysis of public opinion action.This kind is monitored and decision assistant method and system based on the regional public sentiment of large data, and public sentiment technology will be used exactly to carry out public sentiment monitoring analysis to particular locality and crowd, finds the public sentiment crisis of particular locality and crowd in advance, processes Crisis in time.For the public opinion public sentiment that some can have an impact to society, carry out public sentiment monitoring, the dynamic of event can be understood timely, correct guiding is carried out to these mistakes, unfounded public opinion.Implementing the monitoring of regional public sentiment and can also grasp the particular locality society will of the people, by understanding the mood of this area each stratum common people, attitude, view and suggestion and behavior disposition, then correct decision being made to event.
Foreign study present situation
TDT topic detection and tracking (the Topic Detection and Tracking) system of the U.S. is the most well-known Internet public opinion analysis system, this concept results from 1996 the earliest, U.S. national defense ARPA (DARPA) was according to the demand of reality at that time, propose to develop a kind of can when there is no manual intervention the demand of automatic decision news data stream theme.In 1997, researcher starts this demand and carries out Primary Study, and achieve some initial achievements, comprise and establish a beforehand research corpus for TDT research, the content of research comprises finds the consistent text fragment of inherent theme, namely provide one section of continuous print data stream (text or voice), allow the boundary that system judges between two events, and can the appearance of automatic decision new events and the reproduction of old affair part.From 1998, under DARPA supports, American National Standard technical institute
(NIST) all to hold topic detection and tracking international conference every year, and carry out corresponding system evaluation.
TDT has related generally to 5 subtasks, and respectively: report cutting, newly report identification, association identifies, topic detection and Topic Tracking.By complementing each other between these 5 subtasks, organic whole just constitutes, and the abundant Algorithm of documents categorization that TDT project accumulates under study for action finds to the topic solved at present in Internet public opinion analysis and tracing problem based has done good guiding function.
The practical effect of existing internet public feelings monitoring system is unsatisfactory, and that main cause is existing system is not enough to the emotional orientation analysis of the comment text collected, do not set up good solution.If not to the analysis of the Sentiment orientation of comment text in monitoring system, it will be made effectively can not to carry out automatic analysis to internet public feelings and effectively and fast public sentiment monitoring and warning mechanism can not be set up, and then effectively can not stop various negative report spreading in internet.On the other hand, though the system of current public sentiment monitoring analysis is many, but special in area based on large data, and the public sentiment monitoring of region and decision system do not have.Existing public sentiment monitoring system, when not considering each factor of influence of regional public sentiment targetedly, can not to obtain targetedly, public sentiment monitored results provide effective information to aid in decision accurately.
Summary of the invention
In order to solve existing public sentiment monitoring system when not considering each factor of influence of regional public sentiment targetedly, can not obtain targetedly, public sentiment monitored results the shortcoming of effective information to aid in decision is provided accurately, a kind of regional public sentiment monitoring based on large data and decision support system (DSS) and method are proposed.
Based on regional public sentiment monitoring and the decision support system (DSS) of large data, it comprises as lower module:
Information acquisition memory module, for the public sentiment source information in Real-time Collection specific region, and carries out structured storage management to the public sentiment source information gathered, forms the area large data public sentiment knowledge base of real-time update;
Data preprocessing module, for carrying out pre-service to the data in the large data public sentiment knowledge base of area, forms complete orderly data set, for follow-up large data the analysis of public opinion module provides available data to be analyzed;
Large data the analysis of public opinion module, for the feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, set up analytic unit storehouse, analytical model storehouse, data model configuration is carried out by configurator in analytical model storehouse, and carry out mining analysis by the data model of data mining algorithm to configuration, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, reprinting relational angle between media, media region distribution angle 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 the responsive dictionary of predefine, carry out orientation according to the customization public sentiment of the sensitive word in predefined responsive dictionary to the various aspects that regional the analysis of public opinion is paid close attention to and excavate, analyze; And according to the analysis of public opinion and trend prediction result, the sensitive word in predefined responsive dictionary carries out real-time monitoring to the customization public sentiment excavated and analyze and follows the tracks of, manages and dredge; And for customization public sentiment being informed to decision maker by message, note, lettergram mode in station;
Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manages and analysis report manages.
Based on regional public sentiment monitoring and the decision assistant method of large data, it comprises the steps:
Public sentiment source information in S1, Real-time Collection specific region, and structured storage management is carried out to the public sentiment source information gathered, form the area large data public sentiment knowledge base of real-time update;
S2, pre-service is carried out to the data in the large data public sentiment knowledge base of area, form complete orderly data set, for follow-up large data the analysis of public opinion module provides available data to be analyzed;
S3, feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, set up analytic unit storehouse, analytical model storehouse, data model configuration is carried out by configurator in analytical model storehouse, and carry out mining analysis by the data model of data mining algorithm to configuration, the analysis of public opinion is carried out to the reprinting relational angle, media region distribution angle etc. between the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, media and trend prediction obtains the analysis of public opinion and trend prediction result;
Sensitive word in the responsive dictionary of S4, predefine, carries out orientation according to the customization public sentiment of the sensitive word in predefined responsive dictionary to the various aspects that regional the analysis of public opinion is paid close attention to and excavates, analyzes; And according to the analysis of public opinion and trend prediction result, the sensitive word in predefined responsive dictionary carries out real-time monitoring to the customization public sentiment excavated and analyze and follows the tracks of, manages and dredge; And for customization public sentiment being informed to decision maker by message, note, lettergram mode in station;
S5, to public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manages and analysis report manages.
Regional public sentiment based on large data monitoring provided by the invention and decision support system (DSS) and method have following beneficial effect:
1. stored by information acquisition, improve data acquisition, running efficiency of system, the extensibility of resolution system and stability.Can data acquisition automatically, automatic identifiable language and website coding, support the collection to multiple webpage format, various characters collection coding.By data prediction, effectively ensure that when data volume increases severely day by day, the efficiency that system high-speed calculates.Meanwhile, the mode that large data parallel stores, also solves the extensibility of system, real-time and stability.
2. improve the promptness to event response, decision assistant support is provided.By large data the analysis of public opinion, solve the public feelings information of existing the analysis of public opinion system acquisition, for regional public sentiment monitoring analysis work, " garbage " that specific aim deficiency is brought is too much, and cause when an event occurs at first time, fail Timeliness coverage being processed, finally make the state of affairs become serious, the situation of the costliness that the cost of process becomes.Public sentiment monitoring and early warning function of the present invention, ensure that and can understand the dynamic of event timely, the negative public sentiment of the very first time the quickest early warning, carries out correct guiding to mistake, unfounded public opinion.Decision assistant function, can reach and grasp the social will of the people, by understanding the mood of particular locality resident, attitude, view, suggestion and behavior disposition, providing auxiliary support various decision-making.
3. improve coverage rate, comprehensive and accuracy that regional public feelings information obtains.The information of current public sentiment system acquisition, more commonization information often, be used for doing regional the analysis of public opinion unilateral unavoidably, and only by traditional data analysis collected, although ensure that certain fairness, but owing to not considering enough factors of influence, effect still can be far short of what is expected relative to the global data considering more factors of influence of the present invention.So the present invention can improve the comprehensive of acquisition of information, improve the coverage rate of data and the accuracy of analysis.
Accompanying drawing explanation
Fig. 1 is the regional public sentiment monitoring based on large data of the invention process and decision support system (DSS) structured flowchart;
Fig. 2 is the structured flowchart of large data the analysis of public opinion module in Fig. 1;
Fig. 3 is the regional public sentiment monitoring based on large data of the invention process and decision assistant method flow diagram;
Fig. 4 is the sub-process figure of step S3 in Fig. 3.
Embodiment
As shown in Figure 1, a kind of regional public sentiment monitoring based on large data and decision support system (DSS), it is characterized in that, it comprises as lower module:
Information acquisition memory module, for the public sentiment source information in Real-time Collection specific region, and carries out structured storage management to the public sentiment source information gathered, forms the area large data public sentiment knowledge base of real-time update.
Alternatively, the source of the public sentiment source information in information acquisition memory module in specific region comprises news analysis, BBS, blog, polymerization news, mhkc, community network media, microblogging, QQ group, e-newspaper, public number of micro-letter, news mobile applications; Acquisition mode comprises Meta Search Engine technology, and utilize the self-defined URL source of universal search engine and sample frequency, search crawls specific public sentiment source information on internet.
The main source of the public feelings information under network environment has: news analysis, BBS, blog, polymerization news (RSS) etc.The information acquisition memory module of this invention, main employing Meta Search Engine technology, utilize the self-defined URL source of universal search engine and sample frequency, extensively search crawls specific public sentiment source information on internet.Access pass-through needs registration, all types of websites logged in, forum, blog, and multi-document summarization, gathers comprehensively; By multiple collection approach such as Meta Search Engine collection, RSS collection and specified sites collections, realizing gathering the whole network covers; By automatic identifiable language and website coding, support the collection to multiple webpage format, various characters collection coding.
Aim at regional public sentiment monitoring customization, the collection of real-time orientation, the whole network is monitored, with automatic information collecting engine accurately for core, comprehensive solid monitors the network medias such as news, forum, mhkc, blog, community in real time, microblogging, QQ group, e-newspaper, public number of micro-letter, news is moved to the New Medias such as app and carries out data acquisition simultaneously.And based on the available data that can integrate, improve quality and the efficiency of public sentiment supervision.For the new public feelings information produced, or existing public sentiment creates new reprinting, the changes such as new follow-up, and the very first time gathers, and feeds back, and dynamically updates in real time.Based on large data Hadoop parallel memorizing technology, carry out the structured storage management of the efficient index of data, integrate the related data of data with existing and network collection, form the area large data public sentiment knowledge base of real-time update; Initiatively finds and collects particular locality to be correlated with public sentiment, ins conjunction with the available data that can integrate, support area greatly data public sentiment monitor and the operation of decision assistant method and system.Multiple retrieval mode can intuitively provide public sentiment monitoring and early warning.
Data preprocessing module, for carrying out pre-service to the data in the large data public sentiment knowledge base of area, forms complete orderly data set, for follow-up large data the analysis of public opinion module provides available data to be analyzed.
Alternatively, carry out pre-service to the data in the large data public sentiment knowledge base of area in data preprocessing module to comprise:
IP location, network address validity check are carried out to the data in the large data public sentiment knowledge base of area, then carries out public feelings information extraction by web analysis, identification automatically, relatedness computation, document No. process network public-opinion extractive technique; Automatically repeating data is removed again through the automatic duplicate removal of article and article similarity analysis discriminating step; Public sentiment text, intelligence summary and keyword is obtained by text automatic identification and extraction technology, the automatic identification and extraction technical intelligence of title; The pre-service of data is carried out by garbage information filtering, stop words filtration step.
Can junk information be filtered out, leave useful information.
Large data the analysis of public opinion module, for the feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, set up analytic unit storehouse, analytical model storehouse, data model configuration is carried out by configurator in analytical model storehouse, and carry out mining analysis by the data model of data mining algorithm to configuration, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, reprinting relational angle between media, media region distribution angle etc. carries out the analysis of public opinion and trend prediction obtains the analysis of public opinion and trend prediction result.
As shown in Figure 2, alternatively, large data the analysis of public opinion module comprises:
Information extracting unit, for the feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, carries out information extraction by Chinese word segmentation, Metadata Extraction, autoabstract to the much-talked-about topic of specified requirements.
Public sentiment studies and judges unit, for being carried out public sentiment to the information extracted studied and judged by subject detection, much-talked-about topic extraction, sensitive subjects identification.
Negative judging unit, for by passing judgement on analysis, studying and judging result to public sentiment and carrying out negative judgement.
Automatic classification unit, carries out automatic classification for genetic algorithm category analysis related algorithm to negative judged result.
Specific analysis unit, for carrying out specific analysis to automatic classification unit.
Focus cluster cell, for finding to carry out focus cluster with tracer technique by automated intelligent cluster, incident analysis network public-opinion focus.
Extensive diagnostic unit, expansion mining analysis is carried out for propagating the network public-opinion sentiment classification technology such as trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis, draw the probabilistic forecasting to future condition, obtain the analysis of public opinion and trend prediction result.
Large data the analysis of public opinion module can dynamic tracking information, finds trend, finds focus, multi-angle can be formed and analyze, and considerably increases precision of analysis and comprehensive.
The realization of large data the analysis of public opinion module is the commercialization of natural language Intelligent treatment technology and large data depth digging technology and practical.This module is by the feature according to regional public sentiment monitoring analysis, for particular locality change in policy, current events politics, particular locality economic life, society's people's livelihood, anti-corruption, social morality, the factor of influence that the various regional public sentiments such as resident population-employment are relevant, set up analytic unit storehouse, analytical model storehouse, model configuration is carried out by analytical model configurator, and carry out mining analysis by the data model of data mining algorithm to configuration, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, reprinting relational angle between media, media region distribution angle etc. carries out the analysis of public opinion and trend prediction.
Large data the analysis of public opinion flow process as shown in Figure 3, is studied and judged by information extraction, public sentiment, negative judgement, automatic classification, specific analysis, the step such as focus cluster and extensive diagnostic is realized one by one.
Public sentiment monitoring and early warning, decision assistant module, for the sensitive word in the responsive dictionary of predefine, carry out orientation according to the customization public sentiment of the sensitive word in predefined responsive dictionary to the various aspects that regional the analysis of public opinion is paid close attention to and excavate, analyze; And according to the analysis of public opinion and trend prediction result, the sensitive word in predefined responsive dictionary carries out real-time monitoring to the customization public sentiment excavated and analyze and follows the tracks of, manages and dredge; And for customization public sentiment being informed to decision maker by message, note, lettergram mode in station.
This module will to emphasis public sentiment by mode early warning such as message, SMS, mail notifications in station, and the report of final formation the analysis of public opinion, for decision-making level, to grasp public sentiment dynamic comprehensively, make right opinion to guide, analysis foundation is provided, accomplish timely monitoring, auxiliary supervision, the formulation for relevant policies such as economic supports provides aid decision making support.
Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manages and analysis report manages.
Back Administration Module mainly comprises Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manage and analysis report manages these seven different functions.These seven different functions can as required, and flexible configuration current task, runs automatically on backstage.Wherein analysis report administration module, supports the post-production process of public sentiment, provides the Classification Management of public sentiment bulletin, chart and history public sentiment bulletin.
The present embodiment can in current existing unitized public sentiment monitoring system, the points of penetration such as public sentiment monitoring factor of influence do not have specific aim, the limitation of the not accurate enough practicality of analysis result, propose a kind of monitoring of the regional public sentiment based on large data of vertical segmentation and the method and system of decision assistant, solve regional public sentiment monitoring and be difficult to a full automatic difficult problem.The present invention uses large data to store and degree of depth digging technology, to regional public sentiment monitoring and decision assistant, to find the crisis of region public sentiment in advance, processes Crisis in time, and beneficial complement has been carried out in this relatively weak public sentiment monitoring direction.
As shown in Figure 3, the embodiment of the present invention also provides a kind of regional public sentiment monitoring based on large data and decision assistant method, and it comprises the steps:
Public sentiment source information in S1, Real-time Collection specific region, and structured storage management is carried out to the public sentiment source information gathered, form the area large data public sentiment knowledge base of real-time update.
Alternatively, the source of the public sentiment source information in step S1 in specific region comprises news analysis, BBS, blog, polymerization news, mhkc, community network media, microblogging, QQ group, e-newspaper, public number of micro-letter, news mobile applications; Acquisition mode comprises Meta Search Engine technology, and utilize the self-defined URL source of universal search engine and sample frequency, search crawls specific public sentiment source information on internet.
S2, pre-service is carried out to the data in the large data public sentiment knowledge base of area, form complete orderly data set, for follow-up large data the analysis of public opinion module provides available data to be analyzed.
Alternatively, carry out pre-service to the data in the large data public sentiment knowledge base of area in step S2 to comprise:
IP location, network address validity check are carried out to the data in the large data public sentiment knowledge base of area, then carries out public feelings information extraction by web analysis, identification automatically, relatedness computation, document No. process network public-opinion extractive technique; Automatically repeating data is removed again through the automatic duplicate removal of article and article similarity analysis discriminating step; Public sentiment text, intelligence summary and keyword is obtained by text automatic identification and extraction technology, the automatic identification and extraction technical intelligence of title; The pre-service of data is carried out by garbage information filtering, stop words filtration step.
S3, feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, set up analytic unit storehouse, analytical model storehouse, data model configuration is carried out by configurator in analytical model storehouse, and carry out mining analysis by the data model of data mining algorithm to configuration, the analysis of public opinion is carried out to the reprinting relational angle, media region distribution angle etc. between the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, media and trend prediction obtains the analysis of public opinion and trend prediction result.
Alternatively, as shown in Figure 4, step S3 comprises:
S31, feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, carry out information extraction by Chinese word segmentation, Metadata Extraction, autoabstract to the much-talked-about topic of specified requirements.
S32, extracted by subject detection, much-talked-about topic, sensitive subjects identification carries out public sentiment study and judge the information extracted.
S33, by passing judgement on analysis, result being studied and judged to public sentiment and carries out negative judgement.
S34, genetic algorithm category analysis related algorithm carry out automatic classification to negative judged result.
S35, specific analysis is carried out to automatic classification unit.
S36, by automated intelligent cluster, incident analysis network public-opinion focus find with tracer technique carry out focus cluster.
S37, the network public-opinion sentiment classification technology such as trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis of propagating carry out expansion mining analysis, draw the probabilistic forecasting to future condition, obtain the analysis of public opinion and trend prediction result.
Sensitive word in the responsive dictionary of S4, predefine, carries out orientation according to the customization public sentiment of the sensitive word in predefined responsive dictionary to the various aspects that regional the analysis of public opinion is paid close attention to and excavates, analyzes; And according to the analysis of public opinion and trend prediction result, the sensitive word in predefined responsive dictionary carries out real-time monitoring to the customization public sentiment excavated and analyze and follows the tracks of, manages and dredge; And for customization public sentiment being informed to decision maker by message, note, lettergram mode in station.
S5, to public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manages and analysis report manages.
The software module that the method described in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to perform, or the combination of the two is implemented.Software module can be placed in random access memory, internal memory, ROM (read-only memory), electrically programmable ROM, electricity can sassafras except any other forms of storage medium known in programming ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
Be understandable that, for the person of ordinary skill of the art, other various corresponding change and distortion can be made by technical conceive according to the present invention, and all these change the protection domain that all should belong to the claims in the present invention with distortion.
Claims (8)
1., based on regional public sentiment monitoring and the decision support system (DSS) of large data, it is characterized in that, it comprises as lower module:
Information acquisition memory module, for the public sentiment source information in Real-time Collection specific region, and carries out structured storage management to the public sentiment source information gathered, forms the area large data public sentiment knowledge base of real-time update;
Data preprocessing module, for carrying out pre-service to the data in the large data public sentiment knowledge base of area, forms complete orderly data set, for follow-up large data the analysis of public opinion module provides available data to be analyzed;
Large data the analysis of public opinion module, for the feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, set up analytic unit storehouse, analytical model storehouse, data model configuration is carried out by configurator in analytical model storehouse, and carry out mining analysis by the data model of data mining algorithm to configuration, to the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, reprinting relational angle between media, media region distribution angle 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 the responsive dictionary of predefine, carry out orientation according to the customization public sentiment of the sensitive word in predefined responsive dictionary to the various aspects that regional the analysis of public opinion is paid close attention to and excavate, analyze; And according to the analysis of public opinion and trend prediction result, the sensitive word in predefined responsive dictionary carries out real-time monitoring to the customization public sentiment excavated and analyze and follows the tracks of, manages and dredge; And for customization public sentiment being informed to decision maker by message, note, lettergram mode in station;
Back Administration Module, for public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manages and analysis report manages.
2., as claimed in claim 1 based on regional public sentiment monitoring and the decision support system (DSS) of large data, it is characterized in that:
The source of the public sentiment source information in information acquisition memory module in specific region comprises news analysis, BBS, blog, polymerization news, mhkc, community network media, microblogging, QQ group, e-newspaper, public number of micro-letter, news mobile applications; Acquisition mode comprises Meta Search Engine technology, and utilize the self-defined URL source of universal search engine and sample frequency, search crawls specific public sentiment source information on internet.
3., as claimed in claim 1 based on regional public sentiment monitoring and the decision support system (DSS) of large data, it is characterized in that:
Carry out pre-service to the data in the large data public sentiment knowledge base of area in data preprocessing module to comprise:
IP location, network address validity check are carried out to the data in the large data public sentiment knowledge base of area, then carries out public feelings information extraction by web analysis, identification automatically, relatedness computation, document No. process network public-opinion extractive technique; Automatically repeating data is removed again through the automatic duplicate removal of article and article similarity analysis discriminating step; Public sentiment text, intelligence summary and keyword is obtained by text automatic identification and extraction technology, the automatic identification and extraction technical intelligence of title; The pre-service of data is carried out by garbage information filtering, stop words filtration step.
4., as claimed in claim 1 based on regional public sentiment monitoring and the decision support system (DSS) of large data, it is characterized in that:
Large data the analysis of public opinion module comprises:
Information extracting unit, for the feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, carries out information extraction by Chinese word segmentation, Metadata Extraction, autoabstract to the much-talked-about topic of specified requirements;
Public sentiment studies and judges unit, for being carried out public sentiment to the information extracted studied and judged by subject detection, much-talked-about topic extraction, sensitive subjects identification;
Negative judging unit, for by passing judgement on analysis, studying and judging result to public sentiment and carrying out negative judgement;
Automatic classification unit, carries out automatic classification for genetic algorithm category analysis related algorithm to negative judged result;
Specific analysis unit, for carrying out specific analysis to automatic classification unit;
Focus cluster cell, for finding to carry out focus cluster with tracer technique by automated intelligent cluster, incident analysis network public-opinion focus;
Extensive diagnostic unit, expansion mining analysis is carried out for propagating the network public-opinion sentiment classification technology such as trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis, draw the probabilistic forecasting to future condition, obtain the analysis of public opinion and trend prediction result.
5., based on regional public sentiment monitoring and the decision assistant method of large data, it is characterized in that, it comprises the steps:
Public sentiment source information in S1, Real-time Collection specific region, and structured storage management is carried out to the public sentiment source information gathered, form the area large data public sentiment knowledge base of real-time update;
S2, pre-service is carried out to the data in the large data public sentiment knowledge base of area, form complete orderly data set, for follow-up large data the analysis of public opinion module provides available data to be analyzed;
S3, feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, set up analytic unit storehouse, analytical model storehouse, data model configuration is carried out by configurator in analytical model storehouse, and carry out mining analysis by the data model of data mining algorithm to configuration, the analysis of public opinion is carried out to the reprinting relational angle, media region distribution angle etc. between the much-talked-about topic of specified requirements, medium type propagation angle, media report importance degree angle, the just negative sound angle of media, media and trend prediction obtains the analysis of public opinion and trend prediction result;
Sensitive word in the responsive dictionary of S4, predefine, carries out orientation according to the customization public sentiment of the sensitive word in predefined responsive dictionary to the various aspects that regional the analysis of public opinion is paid close attention to and excavates, analyzes; And according to the analysis of public opinion and trend prediction result, the sensitive word in predefined responsive dictionary carries out real-time monitoring to the customization public sentiment excavated and analyze and follows the tracks of, manages and dredge; And for customization public sentiment being informed to decision maker by message, note, lettergram mode in station;
S5, to public feelings information Classification Management, user and rights management, keyword management, acquisition management, Content Management, special topic manages and analysis report manages.
6., as claimed in claim 5 based on regional public sentiment monitoring and the decision assistant method of large data, it is characterized in that:
The source of the public sentiment source information in step S1 in specific region comprises news analysis, BBS, blog, polymerization news, mhkc, community network media, microblogging, QQ group, e-newspaper, public number of micro-letter, news mobile applications; Acquisition mode comprises Meta Search Engine technology, and utilize the self-defined URL source of universal search engine and sample frequency, search crawls specific public sentiment source information on internet.
7., as claimed in claim 5 based on regional public sentiment monitoring and the decision assistant method of large data, it is characterized in that:
Carry out pre-service to the data in the large data public sentiment knowledge base of area in step S2 to comprise:
IP location, network address validity check are carried out to the data in the large data public sentiment knowledge base of area, then carries out public feelings information extraction by web analysis, identification automatically, relatedness computation, document No. process network public-opinion extractive technique; Automatically repeating data is removed again through the automatic duplicate removal of article and article similarity analysis discriminating step; Public sentiment text, intelligence summary and keyword is obtained by text automatic identification and extraction technology, the automatic identification and extraction technical intelligence of title; The pre-service of data is carried out by garbage information filtering, stop words filtration step.
8., as claimed in claim 5 based on regional public sentiment monitoring and the decision assistant method of large data, it is characterized in that:
Step S3 comprises:
S31, feature according to regional public sentiment monitoring analysis, for the factor of influence that public sentiment is relevant, carry out information extraction by Chinese word segmentation, Metadata Extraction, autoabstract to the much-talked-about topic of specified requirements;
S32, extracted by subject detection, much-talked-about topic, sensitive subjects identification carries out public sentiment study and judge the information extracted;
S33, by passing judgement on analysis, result being studied and judged to public sentiment and carries out negative judgement;
S34, genetic algorithm category analysis related algorithm carry out automatic classification to negative judged result;
S35, specific analysis is carried out to automatic classification unit;
S36, by automated intelligent cluster, incident analysis network public-opinion focus find with tracer technique carry out focus cluster;
S37, the network public-opinion sentiment classification technology such as trend analysis, sentiment classification, media distribution/importance analysis, Area distribution analysis of propagating carry out expansion mining analysis, draw the probabilistic forecasting to future condition, obtain the analysis of public opinion and trend prediction result.
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