CN103744877A - Public opinion monitoring application system deployed in internet and application method - Google Patents
Public opinion monitoring application system deployed in internet and application method Download PDFInfo
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Abstract
The invention discloses a public opinion monitoring application system deployed in the internet. The public opinion monitoring application system deployed in the internet comprises a data collection sub-system, a basic data storage center, a data mining processing sub-system and a public opinion monitoring management sub-system. The invention further discloses an application method of the public opinion monitoring application system. Data can be rapidly and effectively extracted from various types of collected page information, a word segmentation module can be used for rapidly and effectively extracting the kernel content of each page, and the extracted data are fused together to be processed comprehensively. Therefore, the purposes of collecting network information comprehensively and in real time and avoiding network canards are achieved.
Description
Technical field
The present invention relates to information communication field, particularly, relate to a kind of public sentiment monitoring and measuring application system and application method that is deployed in internet.
Background technology
At present, along with internet, applications is more and more extensive, people can express the view of oneself on the internet.When the colony in network is for a certain focus incident, concentrate when paying close attention to and expressing an opinion one after another, be easy to form network public-opinion, network public-opinion all can cause very serious impact to national security, social stability and the individual's of enterprise reputation, and therefore effectively carrying out public sentiment monitoring technology has application demand very widely.But along with the kind of internet transmission medium presents diversified development trend, the source of internet information issue presents the growth momentum of explosion type, make to carry out on network that in real time effectively public sentiment monitoring technology difficulty is more and more higher, prior art all cannot be in real time, comprehensive collecting network information.
Summary of the invention
The object of the invention is to, for the problems referred to above, propose a kind of public sentiment monitoring and measuring application system and application method that is deployed in internet, realizing in real time, comprehensive collecting network information, thereby avoid the advantage of network rumour.
For achieving the above object, the technical solution used in the present invention is:
Be deployed in a public sentiment monitoring and measuring application system for internet, comprise data acquisition subsystem, master data storage center, data mining processing subsystem and public sentiment monitoring management subsystem;
Described data acquisition subsystem: the information on network is gathered automatically, from the information gathering is carried out extracting the network information that has break-up value potentiality duplicate removal, filtration, screening;
Described master data storage center: needed data storage function in the completion system course of work;
Described data mining processing subsystem: by predefined data processing cycle, to the all-network information in current period, first carry out participle and cluster and extract the core content of each page, afterwards according to the rank of the network information reply to the topic data and hop count, popular degree to the network information is evaluated, and provides the focus feature of the network information;
Described public sentiment monitoring management subsystem: realize man-machine interaction, and the popular evaluation result of the focus incident in the network information of above-mentioned data mining subsystem output and the page is changed into public sentiment situation to be shown, and focus incident is added up, the development trend of public sentiment is carried out to record simultaneously; And according to the search key of user's input, relevant primitive network information is retrieved and exported.
According to a preferred embodiment of the invention, the described network information at least comprises webpage, microblogging and the forum information on network.
According to a preferred embodiment of the invention, described data acquisition subsystem comprises webcrawler module, data duplicate removal module, data filtering module and data screening module;
Described webcrawler module, by web crawlers being propagated automatically on network and being spread, thereby carries out data acquisition to the webpage on network, microblogging and forum automatically;
Described data duplicate removal module, after data duplicate removal is processed, rejects the repeating data obtaining in gatherer process by the page raw data being collected by above-mentioned web crawlers;
Described data filtering module, according to predefined data filtering rule, filters the page type that does not need to process and page info;
Described data screening module, according to the responsive value of predefined data acquisition in above-mentioned public sentiment monitoring management subsystem, screens collected data, extracts the page data of break-up value potentiality.
According to a preferred embodiment of the invention, described public sentiment monitoring management subsystem comprises Subscriber Interface Module SIM, public sentiment display module, focus statistics module, public sentiment trend trend display module and data retrieval module;
Described Subscriber Interface Module SIM, realize the man-machine interaction between system and user;
The popular evaluation result of described public sentiment display module, the various focus incidents to above-mentioned data mining subsystem output and the page changes into public sentiment situation and shows;
Described focus statistics module, focus incident is added up;
Described public sentiment trend trend display module, records and shows the development trend of public sentiment;
Described data retrieval module, the search key of inputting according to user, retrieve and export relevant page raw data.
According to a preferred embodiment of the invention, described public sentiment display module, the public feelings information being received real-time recording and show in the page respectively.
According to a preferred embodiment of the invention, described public sentiment trend trend display module, adds up the focus incident being recorded in a period of time and record successively, with the form of curve map, draws focus incident.
According to a preferred embodiment of the invention, described data mining processing subsystem has participle, point term clustering, page rank statistics, the quantity statistics of replying to the topic, page hop count and adds up and treatment cycle set-up function.
Simultaneously technical scheme of the present invention also discloses a kind of right and has been deployed in the application method of the public sentiment monitoring and measuring application system of internet, comprises the following steps:
Step 1, by the Subscriber Interface Module SIM in public sentiment monitoring management subsystem, the sensitive event keyword of Input Monitor Connector;
Step 2, by data acquisition subsystem, network data is gathered, by webcrawler module, in internet, propagate fast, much information media content is gathered;
Step 3, the above-mentioned raw data collecting is extracted respectively to the page data of break-up value through data duplicate removals, data filtering and data screening;
Step 4, the raw data that above-mentioned steps 2 is collected are sent into master data storage center, with general data layout, all data that collected are stored in to master data storage center;
Step 5, log-on data are excavated the participle function in processing subsystem, extract page data successively, and therefrom extract each word segmentation result from master data storage center;
The participle clustering algorithm of step 6, application participle the function of convergence carries out cluster to word segmentation result, and the body matter that provides each page is described;
Step 7, startup page rank are added up, the page is replied to the topic number of times statistics and page hop count statistical function, count accordingly respectively the characteristic parameter of the page according to the type of page data;
Step 8, content, the popular degree of application focus incident evaluation model to current page are evaluated;
If step 9 event reaches the responsive program pre-value of predefined hot topic, carry out the warning of focus incident, export early warning result to public sentiment monitoring management subsystem;
Step 10, described public sentiment monitoring management subsystem are for received early warning information, and by real-time public sentiment situation showing, the various focus incidents of simultaneously accumulative total being received are added up, and public sentiment development trend is shown.
Technical scheme of the present invention has following beneficial effect:
Technical scheme of the present invention, can extract data fast and effectively to the polytype page info gathering, and can utilize word-dividing mode to extract fast and effectively the core content of the page, and extracted data fusion is carried out to overall treatment together.Thereby reach real-time, comprehensive collecting network information, thereby avoid the object of network rumour.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Fig. 1 is the theory diagram of the public sentiment monitoring and measuring application system that is deployed in internet described in the embodiment of the present invention;
Fig. 2 is the utilization process flow diagram of the public sentiment monitoring and measuring application system that is deployed in internet described in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein, only for description and interpretation the present invention, is not intended to limit the present invention.
As shown in Figure 1, a kind of public sentiment monitoring and measuring application system that is deployed in internet, comprises data acquisition subsystem, master data storage center, data mining processing subsystem and public sentiment monitoring management subsystem;
Data acquisition subsystem: the information on network is gathered automatically, from the information gathering is carried out extracting the network information that has break-up value potentiality duplicate removal, filtration, screening;
Master data storage center: needed data storage function in the completion system course of work;
Data mining processing subsystem: by predefined data processing cycle, to the all-network information in current period, first carry out participle and cluster and extract the core content of each page, afterwards according to the rank of the network information reply to the topic data and hop count, popular degree to the network information is evaluated, and provides the focus feature of the network information;
Public sentiment monitoring management subsystem: realize man-machine interaction, and the popular evaluation result of the focus incident in the network information of above-mentioned data mining subsystem output and the page is changed into public sentiment situation to be shown, and focus incident is added up, the development trend of public sentiment is carried out to record simultaneously; And according to the search key of user's input, relevant primitive network information is retrieved and exported.
Wherein, the network information comprises the information such as webpage, microblogging and forum on network.
Data acquisition subsystem comprises webcrawler module, data duplicate removal module, data filtering module and data screening module;
Webcrawler module, by web crawlers being propagated automatically on network and being spread, thereby carries out data acquisition to the webpage on network, microblogging and forum automatically;
Data duplicate removal module, after data duplicate removal is processed, rejects the repeating data obtaining in gatherer process by the page raw data being collected by above-mentioned web crawlers;
Data filtering module, according to predefined data filtering rule, filters the page type that does not need to process and page info;
Data screening module, according to the responsive value of predefined data acquisition in above-mentioned public sentiment monitoring management subsystem, screens collected data, extracts the page data of break-up value potentiality.
Public sentiment monitoring management subsystem comprises Subscriber Interface Module SIM, public sentiment display module, focus statistics module, public sentiment trend trend display module and data retrieval module;
Subscriber Interface Module SIM, realize the man-machine interaction between system and user;
The popular evaluation result of public sentiment display module, the various focus incidents to above-mentioned data mining subsystem output and the page changes into public sentiment situation and shows;
Focus statistics module, focus incident is added up;
Public sentiment trend trend display module, records and shows the development trend of public sentiment;
Data retrieval module, the search key of inputting according to user, retrieve and export relevant page raw data.
Public sentiment display module, the public feelings information being received real-time recording and show in the page respectively.
Public sentiment trend trend display module, adds up the focus incident being recorded in a period of time and record successively, with the form of curve map, draws focus incident.
Data mining processing subsystem has participle, point term clustering, page rank statistics, the quantity statistics of replying to the topic, page hop count statistics and treatment cycle set-up function.Participle, point term clustering, page rank statistics, the quantity statistics of replying to the topic, page hop count statistics and treatment cycle all have corresponding Implement of Function Module.
Technical scheme of the present invention also discloses a kind of right and has been deployed in the application method of the public sentiment monitoring and measuring application system of internet, as shown in Figure 2, comprises the following steps:
Step 1, by the Subscriber Interface Module SIM in public sentiment monitoring management subsystem, the sensitive event keyword of Input Monitor Connector;
Step 2, by data acquisition subsystem, network data is gathered, by webcrawler module, in internet, propagate fast, much information media content is gathered;
Step 3, the above-mentioned raw data collecting is extracted respectively to the page data of break-up value through data duplicate removals, data filtering and data screening;
Step 4, the raw data that above-mentioned steps 2 is collected are sent into master data storage center, with general data layout, all data that collected are stored in to master data storage center;
Step 5, log-on data are excavated the participle function in processing subsystem, extract page data successively, and therefrom extract each word segmentation result from master data storage center;
The participle clustering algorithm of step 6, application participle the function of convergence carries out cluster to word segmentation result, and the body matter that provides each page is described;
Step 7, startup page rank are added up, the page is replied to the topic number of times statistics and page hop count statistical function, count accordingly respectively the characteristic parameter of the page according to the type of page data;
Step 8, content, the popular degree of application focus incident evaluation model to current page are evaluated;
If step 9 event reaches the responsive program pre-value of predefined hot topic, carry out the warning of focus incident, export early warning result to public sentiment monitoring management subsystem;
Step 10, described public sentiment monitoring management subsystem are for received early warning information, and by real-time public sentiment situation showing, the various focus incidents of simultaneously accumulative total being received are added up, and public sentiment development trend is shown.
Focus incident evaluation model in step 8 is existing technology, and for different application purposes, evaluation index is not identical, and for technical solution of the present invention, the parameter that model can be added up according to step 7 provides focus incident evaluation result.(as: page rank statistics enters 5000, the whole world with the interior focus incident of regarding as, Here it is a kind of focus incident evaluation model).
When concrete parent page information in definite certain focus incident of inquiry of user, can, by the data retrieval module in monitoring management subsystem, by keyword, the page data in master data storage center be inquired about.
Be deployed in the public sentiment monitoring and measuring application system of internet and use specific as follows:
Data acquisition subsystem comprises webcrawler module, data duplicate removal module, data filtering module and data screening module.By web crawlers, on network, propagate automatically and spread, can to the webpage on network, microblogging and forum, carry out data acquisition automatically.The page raw data being collected by web crawlers is through data duplicate removal, the repeating data that rejecting obtains in gatherer process, then according to predefined data filtering rule, do not need page type and the page info processed to filter some, afterwards again according to public sentiment management system for monitoring, the responsive value of predefined data acquisition, screens collected data, extracts the page data of break-up value potentiality.Master data transmission center has been mainly needed data storage function in public sentiment monitoring and measuring application system work process.Data mining processing subsystem comprises word-dividing mode, the functional modules such as participle clustering algorithm, page rank statistics, the quantity statistics of replying to the topic, page hop count statistics and data processing cycle setting.By predefined data processing cycle, to all page datas in current period, first carry out participle and cluster and extract the core content of each page, afterwards according to the rank of the page reply to the topic data and hop count, popular degree to page data is evaluated, and provides the focus feature of page data.Public sentiment monitoring management subsystem comprises Subscriber Interface Module SIM, public sentiment display module, focus statistics module, public sentiment trend trend display module and data retrieval module.By user interface, can meet the man-machine interaction application demand between public sentiment management system for monitoring and user, various focus incidents to the output of data mining subsystem and the popular evaluation result of the page change into public sentiment situation and show, and focus incident is added up, also the development trend of public sentiment is carried out to record simultaneously.Public sentiment monitoring management subsystem can also be wished according to user the search key of input, and relevant page raw data is retrieved and exported.
In sum, technical solution of the present invention has following characteristics:
1, the medium kind of the public sentiment monitoring system of the technical program monitoring, can contain the much information media such as static page, dynamic page, microblogging and forum.
2, the public sentiment monitoring system data fusion ability of the technical program is strong, to gathered polytype page info, can extract fast and effectively data, can utilize word-dividing mode to extract fast and effectively the core content of the page, and extracted data fusion is carried out to overall treatment together.
3, the intelligent degree of the public sentiment monitoring system data mining of the technical program is high, by setting up the popular degree evaluation model of event, can intelligentizedly excavate the degree of concern of the dissimilar page to same event, thereby accurately public sentiment be judged.
4, the public sentiment monitoring system implementation of the technical program is strong, can to network public-opinion situation of change, make a response fast.
Finally it should be noted that: the foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although the present invention is had been described in detail with reference to previous embodiment, for a person skilled in the art, its technical scheme that still can record aforementioned each embodiment is modified, or part technical characterictic is wherein equal to replacement.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (8)
1. a public sentiment monitoring and measuring application system that is deployed in internet, is characterized in that, comprises data acquisition subsystem, master data storage center, data mining processing subsystem and public sentiment monitoring management subsystem;
Described data acquisition subsystem: the information on network is gathered automatically, from the information gathering is carried out extracting the network information that has break-up value potentiality duplicate removal, filtration, screening;
Described master data storage center: needed data storage function in the completion system course of work;
Described data mining processing subsystem: by predefined data processing cycle, to the all-network information in current period, first carry out participle and cluster and extract the core content of each page, afterwards according to the rank of the network information reply to the topic data and hop count, popular degree to the network information is evaluated, and provides the focus feature of the network information;
Described public sentiment monitoring management subsystem: realize man-machine interaction, and the popular evaluation result of the focus incident in the network information of above-mentioned data mining subsystem output and the page is changed into public sentiment situation to be shown, and focus incident is added up, the development trend of public sentiment is carried out to record simultaneously; And according to the search key of user's input, relevant primitive network information is retrieved and exported.
2. the public sentiment monitoring and measuring application system that is deployed in internet according to claim 1, is characterized in that, the described network information at least comprises webpage, microblogging and the forum information on network.
3. the public sentiment monitoring and measuring application system that is deployed in internet according to claim 2, is characterized in that, described data acquisition subsystem comprises webcrawler module, data duplicate removal module, data filtering module and data screening module;
Described webcrawler module, by web crawlers being propagated automatically on network and being spread, thereby carries out data acquisition to the webpage on network, microblogging and forum automatically;
Described data duplicate removal module, after data duplicate removal is processed, rejects the repeating data obtaining in gatherer process by the page raw data being collected by above-mentioned web crawlers;
Described data filtering module, according to predefined data filtering rule, filters the page type that does not need to process and page info;
Described data screening module, according to the responsive value of predefined data acquisition in above-mentioned public sentiment monitoring management subsystem, screens collected data, extracts the page data of break-up value potentiality.
4. the public sentiment monitoring and measuring application system that is deployed in internet according to claim 2, it is characterized in that, described public sentiment monitoring management subsystem comprises Subscriber Interface Module SIM, public sentiment display module, focus statistics module, public sentiment trend trend display module and data retrieval module;
Described Subscriber Interface Module SIM, realize the man-machine interaction between system and user;
The popular evaluation result of described public sentiment display module, the various focus incidents to above-mentioned data mining subsystem output and the page changes into public sentiment situation and shows;
Described focus statistics module, focus incident is added up;
Described public sentiment trend trend display module, records and shows the development trend of public sentiment;
Described data retrieval module, the search key of inputting according to user, retrieve and export relevant page raw data.
5. the public sentiment monitoring and measuring application system that is deployed in internet according to claim 4, is characterized in that, described public sentiment display module, the public feelings information being received real-time recording and show in the page respectively.
6. the public sentiment monitoring and measuring application system that is deployed in internet according to claim 4, it is characterized in that, described public sentiment trend trend display module, adds up the focus incident being recorded in a period of time and record successively, with the form of curve map, draws focus incident.
7. the public sentiment monitoring and measuring application system that is deployed in internet according to claim 2, it is characterized in that, described data mining processing subsystem has participle, point term clustering, page rank statistics, the quantity statistics of replying to the topic, page hop count statistics and treatment cycle set-up function.
8. an application method for the public sentiment monitoring and measuring application system that is deployed in internet described in claim 1 to 7, is characterized in that, comprises the following steps:
Step 1, by the Subscriber Interface Module SIM in public sentiment monitoring management subsystem, the sensitive event keyword of Input Monitor Connector;
Step 2, by data acquisition subsystem, network data is gathered, by webcrawler module, in internet, propagate fast, much information media content is gathered;
Step 3, the above-mentioned raw data collecting is extracted respectively to the page data of break-up value through data duplicate removals, data filtering and data screening;
Step 4, the raw data that above-mentioned steps 2 is collected are sent into master data storage center, with general data layout, all data that collected are stored in to master data storage center;
Step 5, log-on data are excavated the participle function in processing subsystem, extract page data successively, and therefrom extract each word segmentation result from master data storage center;
The participle clustering algorithm of step 6, application participle the function of convergence carries out cluster to word segmentation result, and the body matter that provides each page is described;
Step 7, startup page rank are added up, the page is replied to the topic number of times statistics and page hop count statistical function, count accordingly respectively the characteristic parameter of the page according to the type of page data;
Step 8, content, the popular degree of application focus incident evaluation model to current page are evaluated;
If step 9 event reaches the responsive program pre-value of predefined hot topic, carry out the warning of focus incident, export early warning result to public sentiment monitoring management subsystem;
Step 10, described public sentiment monitoring management subsystem are for received early warning information, and by real-time public sentiment situation showing, the various focus incidents of simultaneously accumulative total being received are added up, and public sentiment development trend is shown.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112207A (en) * | 2014-07-29 | 2014-10-22 | 浪潮软件集团有限公司 | Electronic commerce transaction monitoring method based on internet data |
| CN104504081A (en) * | 2014-12-25 | 2015-04-08 | 北京东方剪报国际信息咨询有限公司 | Intelligent analysis system for all-media detection and monitoring big data behaviors |
| CN104933093A (en) * | 2015-05-19 | 2015-09-23 | 武汉泰迪智慧科技有限公司 | Regional public opinion monitoring and decision-making auxiliary system and method based on big data |
| CN105447202A (en) * | 2015-12-31 | 2016-03-30 | 宁波公众信息产业有限公司 | Internet information collecting system |
| CN105677802A (en) * | 2015-12-31 | 2016-06-15 | 宁波公众信息产业有限公司 | Internet information analysis system |
| CN105718587A (en) * | 2016-01-26 | 2016-06-29 | 王薇 | Network content resource evaluation method and evaluation system |
| CN105893368A (en) * | 2014-11-19 | 2016-08-24 | 北京航天长峰科技工业集团有限公司 | Multilingual online public opinion analysis method |
| CN106096017A (en) * | 2016-06-24 | 2016-11-09 | 百度在线网络技术（北京）有限公司 | Search Results provides method and device |
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| CN106970925A (en) * | 2016-01-14 | 2017-07-21 | 阿里巴巴集团控股有限公司 | The abnormity early warning method and apparatus of User Perspective |
| CN107562722A (en) * | 2017-08-14 | 2018-01-09 | 上海文军信息技术有限公司 | Internet public feelings monitoring analysis system based on big data |
| CN107798112A (en) * | 2017-11-02 | 2018-03-13 | 国影（北京）科技有限责任公司 | A kind of public feelings information processing method and processing device |
| CN107943905A (en) * | 2017-11-17 | 2018-04-20 | 北京锐安科技有限公司 | A kind of much-talked-about topic analysis method and system |
| CN108959602A (en) * | 2018-07-13 | 2018-12-07 | 大连思索引擎信息有限公司 | A kind of method relying on subjective value |
| CN109299870A (en) * | 2018-09-17 | 2019-02-01 | 中国电子科技集团公司第二十八研究所 | A kind of national stability appraisal procedure based on event |
| CN109783815A (en) * | 2018-12-28 | 2019-05-21 | 华南理工大学 | A kind of various dimensions network public-opinion big data comparative analysis method |
| CN110321472A (en) * | 2019-06-12 | 2019-10-11 | 中国电子科技集团公司第二十八研究所 | Public sentiment based on intelligent answer technology monitors system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763401A (en) * | 2009-12-30 | 2010-06-30 | 暨南大学 | Network public sentiment hotspot prediction and analysis method |
| CN102708096A (en) * | 2012-05-29 | 2012-10-03 | 代松 | Network intelligence public sentiment monitoring system based on semantics and work method thereof |
| CN103150335A (en) * | 2013-01-25 | 2013-06-12 | 河南理工大学 | Co-clustering-based coal mine public sentiment monitoring system |
| CN103268350A (en) * | 2013-05-29 | 2013-08-28 | 安徽雷越网络科技有限公司 | Internet public opinion information monitoring system and monitoring method |
-
2013
- 2013-12-20 CN CN201310707843.0A patent/CN103744877A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763401A (en) * | 2009-12-30 | 2010-06-30 | 暨南大学 | Network public sentiment hotspot prediction and analysis method |
| CN102708096A (en) * | 2012-05-29 | 2012-10-03 | 代松 | Network intelligence public sentiment monitoring system based on semantics and work method thereof |
| CN103150335A (en) * | 2013-01-25 | 2013-06-12 | 河南理工大学 | Co-clustering-based coal mine public sentiment monitoring system |
| CN103268350A (en) * | 2013-05-29 | 2013-08-28 | 安徽雷越网络科技有限公司 | Internet public opinion information monitoring system and monitoring method |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112207A (en) * | 2014-07-29 | 2014-10-22 | 浪潮软件集团有限公司 | Electronic commerce transaction monitoring method based on internet data |
| CN105893368A (en) * | 2014-11-19 | 2016-08-24 | 北京航天长峰科技工业集团有限公司 | Multilingual online public opinion analysis method |
| CN104504081A (en) * | 2014-12-25 | 2015-04-08 | 北京东方剪报国际信息咨询有限公司 | Intelligent analysis system for all-media detection and monitoring big data behaviors |
| CN104933093B (en) * | 2015-05-19 | 2018-08-07 | 武汉泰迪智慧科技有限公司 | The monitoring of regional public sentiment and decision support system (DSS) based on big data and method |
| CN104933093A (en) * | 2015-05-19 | 2015-09-23 | 武汉泰迪智慧科技有限公司 | Regional public opinion monitoring and decision-making auxiliary system and method based on big data |
| CN105447202A (en) * | 2015-12-31 | 2016-03-30 | 宁波公众信息产业有限公司 | Internet information collecting system |
| CN105677802A (en) * | 2015-12-31 | 2016-06-15 | 宁波公众信息产业有限公司 | Internet information analysis system |
| CN106970925A (en) * | 2016-01-14 | 2017-07-21 | 阿里巴巴集团控股有限公司 | The abnormity early warning method and apparatus of User Perspective |
| CN106970925B (en) * | 2016-01-14 | 2020-07-03 | 阿里巴巴集团控股有限公司 | User viewpoint abnormity early warning method and device |
| CN105718587A (en) * | 2016-01-26 | 2016-06-29 | 王薇 | Network content resource evaluation method and evaluation system |
| CN106096017A (en) * | 2016-06-24 | 2016-11-09 | 百度在线网络技术（北京）有限公司 | Search Results provides method and device |
| CN106656965A (en) * | 2016-09-30 | 2017-05-10 | 广州特道信息科技有限公司 | General client side management system based on distributed cloud computing |
| CN107562722A (en) * | 2017-08-14 | 2018-01-09 | 上海文军信息技术有限公司 | Internet public feelings monitoring analysis system based on big data |
| CN107798112A (en) * | 2017-11-02 | 2018-03-13 | 国影（北京）科技有限责任公司 | A kind of public feelings information processing method and processing device |
| CN107943905A (en) * | 2017-11-17 | 2018-04-20 | 北京锐安科技有限公司 | A kind of much-talked-about topic analysis method and system |
| CN108959602A (en) * | 2018-07-13 | 2018-12-07 | 大连思索引擎信息有限公司 | A kind of method relying on subjective value |
| CN109299870A (en) * | 2018-09-17 | 2019-02-01 | 中国电子科技集团公司第二十八研究所 | A kind of national stability appraisal procedure based on event |
| CN109299870B (en) * | 2018-09-17 | 2021-07-06 | 中国电子科技集团公司第二十八研究所 | Event-based national stability assessment method |
| CN109783815A (en) * | 2018-12-28 | 2019-05-21 | 华南理工大学 | A kind of various dimensions network public-opinion big data comparative analysis method |
| CN110321472A (en) * | 2019-06-12 | 2019-10-11 | 中国电子科技集团公司第二十八研究所 | Public sentiment based on intelligent answer technology monitors system |
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