CN107967310A - Public opinion data processing method and device and storage medium - Google Patents

Public opinion data processing method and device and storage medium Download PDF

Info

Publication number
CN107967310A
CN107967310A CN201711147137.XA CN201711147137A CN107967310A CN 107967310 A CN107967310 A CN 107967310A CN 201711147137 A CN201711147137 A CN 201711147137A CN 107967310 A CN107967310 A CN 107967310A
Authority
CN
China
Prior art keywords
data
address
sources information
public sentiment
danger sources
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711147137.XA
Other languages
Chinese (zh)
Inventor
修文群
李程
梁伟
郜志超
尹继尧
张智
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Technology Institute of Urban Public Safety Co Ltd
Original Assignee
Shenzhen Technology Institute of Urban Public Safety Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Technology Institute of Urban Public Safety Co Ltd filed Critical Shenzhen Technology Institute of Urban Public Safety Co Ltd
Priority to CN201711147137.XA priority Critical patent/CN107967310A/en
Publication of CN107967310A publication Critical patent/CN107967310A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2119Authenticating web pages, e.g. with suspicious links

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a public opinion data processing method, a device and a storage medium, wherein the method comprises the following steps: acquiring first public opinion data on a network platform; screening the first public opinion data through preset danger source data to generate danger source information; extracting key data in the danger source information, and correlating the key data with second public opinion data to judge whether the danger source information is true; if the dangerous source information is true, adding the dangerous source information into a dangerous source database; and if the danger source information is not true, discarding the danger source information. The invention discards the information of the dangerous source which is not true, reduces the data processing amount, thereby not only improving the data processing rate, but also improving the real reliability of the data to be analyzed, and further improving the accuracy of the analysis result.

Description

Processing method, device and the storage medium of public sentiment data
Technical field
Public sentiment data of the present invention analyzes and processes technical field, more particularly to a kind of processing method of public sentiment data, device and Storage medium.
Background technology
At present, with the fast development of network technology, the network information has become in people's life essential one Point.At the beginning of 2017, the quantity of Chinese netizen alreadys exceed 7.51 hundred million, and Chinese webpage quantity have also exceeded 236,000,000,000.Net Network media have been acknowledged as " fourth media " that emerges rapidly after newspaper, broadcast and TV, and network becomes reaction society One of main carriers of public sentiment.Network public-opinion interacts with Social Public Feelings, influences each other, including network public-opinion and Social Public Feelings There is uniformity in terms of holding display form, network public-opinion can influence the development trend of Social Public Feelings, therefore network to a certain extent The discovery tool of public sentiment hot topic is of great significance.
Therefore, with the fast development of China Internet, regional public sentiment monitoring has become in the analysis of public opinion work An important part in appearance.But the practical effect of existing internet public feelings monitoring system is unsatisfactory, some Reason is that existing system directly analyzes and processes the public sentiment data collected, and formulates corresponding place according to analysis result Reason strategy, because the authenticity that existing system is not directed to public sentiment data is assert, existing system is according to doping The public sentiment data of non-genuine public sentiment data can not specific aim, accuracy formulation effectively processing strategy.
The content of the invention
It is existing to solve it is an object of the invention to provide a kind of processing method of public sentiment data, device and storage medium Internet public feelings monitoring system processing speed it is low, and analyze accuracy rate it is low.
To solve the above-mentioned problems, the present invention provides a kind of processing method of public sentiment data, it includes:
The first public sentiment data is obtained in the network platform;
By default dangerous source data, the first public sentiment data is screened, to generate danger sources information;
The critical data in danger sources information is extracted, and is associated by critical data with the second public sentiment data, to judge to endanger Whether dangerous source information is true;
If danger sources information is true, danger sources information is added in dangerous source database;
If danger sources information is not true, danger sources information is abandoned.
As a further improvement on the present invention, it is further included:
Dangerous source database is established, dangerous source database includes:
Default danger source data, for defining all kinds of dangerous matter sources, it includes title, attribute and/keyword;
Second danger sources information, it is associated with default dangerous source data, for describe all kinds of dangerous matter sources address, when Between, feature and/or quantity.
As a further improvement on the present invention, the critical data in danger sources information is extracted, and passes through critical data and the Two public sentiment datas associate, to judge whether danger sources information is true, including:
The critical data in danger sources information is extracted, critical data includes current time and current address;
Obtain multiple second public sentiment datas for meeting default Correlation Criteria, preset Correlation Criteria for the second public sentiment data when Between in the preset time range of current time, and its address is in the range of the preset address of current address;
According to the first public sentiment data and the similarity of multiple second public sentiment datas, to judge whether danger sources information is true.
As a further improvement on the present invention, danger sources information is added in dangerous source database, further included afterwards:
Obtain the destination address of danger sources information;
According to destination address, danger sources information and/or default dangerous source data are mapped on dangerous matter sources map.
As a further improvement on the present invention, the destination address in danger sources information is obtained, including:
The first address of danger sources information is obtained, the first address refers to the address that danger sources information is included in itself;And
The second address of danger sources information is obtained, the second address refers to the ground that danger sources information generates in issuing process Location;
When the first address is not empty, the address in danger sources information is used as using the first address;When the first address is empty, Address in danger sources information is used as using the second address.
As a further improvement on the present invention, according to destination address, danger sources information and/or default dangerous source data are reflected It is mapped on dangerous matter sources map, further includes afterwards:
On dangerous matter sources map, single choice or multiselect are carried out to default dangerous source data;
Display and the danger sources information of default dangerous matter sources data correlation.
As a further improvement on the present invention, display and the danger sources information of default dangerous matter sources data correlation, including:
The quantity in attribute and danger sources information in default dangerous source data, estimates coverage;
Centered on the address of danger sources information, using coverage as radius, danger sources information is shown.
As a further improvement on the present invention, further include:
The target danger sources information that user chooses is deleted in dangerous source database;
The corresponding default dangerous source data of the target danger sources information deleted is shown in the form of non-light tone.
To solve the above-mentioned problems, present invention also offers a kind of processing unit of public sentiment data, it includes memory, place The computer program managed device and storage on a memory and can run on a processor, when processor performs computer program, Realize the step in the processing method of above-mentioned public sentiment data.
To solve the above-mentioned problems, present invention also offers a kind of storage medium, computer program is stored thereon with, is calculated Machine program realizes the step in the processing method of above-mentioned public sentiment data when being executed by processor.
Compared with prior art, discard processing of the present invention is not genuine danger sources information, reduces data processing amount, so that Both data processing rate is improved, also improves the real reliability of data to be analyzed, and then improves the accurate of analysis result Rate.
Brief description of the drawings
Fig. 1 is the flow diagram of processing method one embodiment of public sentiment data of the present invention;
Fig. 2 is the flow diagram that flow one embodiment is verified in the processing method of public sentiment data of the present invention;
Fig. 3 is the flow diagram of second embodiment of processing method of public sentiment data of the present invention;
Fig. 4 is the flow diagram of the 3rd embodiment of processing method of public sentiment data of the present invention;
Fig. 5 is the showing interface schematic diagram of one embodiment of the processing unit of public sentiment data of the present invention;
Fig. 6 be public sentiment data of the present invention processing method in flow for displaying one embodiment flow diagram;
Fig. 7 be public sentiment data of the present invention processing method in more new technological process one embodiment flow diagram;
Fig. 8 is the high-level schematic functional block diagram of processing unit one embodiment of public sentiment data of the present invention;
Fig. 9 is the high-level schematic functional block diagram of second embodiment of processing unit of public sentiment data of the present invention;
Figure 10 be public sentiment data of the present invention processing unit in validating module one embodiment high-level schematic functional block diagram;
Figure 11 is the high-level schematic functional block diagram of the 3rd embodiment of processing unit of public sentiment data of the present invention;
Figure 12 illustrates for the function module of address acquisition module one embodiment in the processing unit of public sentiment data of the present invention Figure;
Figure 13 is the high-level schematic functional block diagram of the 4th embodiment of processing unit of public sentiment data of the present invention;
Figure 14 illustrates for the function module of first display module one embodiment in the processing unit of public sentiment data of the present invention Figure;
Figure 15 is the high-level schematic functional block diagram of the 5th embodiment of processing unit of public sentiment data of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used to limit the present invention.
Fig. 1 illustrates one embodiment of the processing method of public sentiment data of the present invention.In the present embodiment, the public sentiment data Processing method include the following steps:
Step S1, obtains the first public sentiment data in the network platform.
The network platform described in the present embodiment can include news platform, forum's platform, social platform, microblog with And wechat circle of friends etc..
Step S2, by default dangerous source data, screens the first public sentiment data, to generate danger sources information.
Specifically, first, initial public sentiment data is analyzed one by one, judges current initial public sentiment data whether comprising default danger Keyword is (for example:Fire, mud-rock flow, gun, traffic accident etc.).Secondly, if current initial public sentiment data, which includes, is preset dangerous close Keyword, then be determined as a pending dangerous source data, and generates danger sources information.If current initial public sentiment data does not include pre- If dangerous keyword, then discard processing initial public sentiment data.Finally, after judgement, at least one danger sources information is obtained.
Step S3, extracts the critical data in danger sources information, and is associated by critical data with the second public sentiment data, with Judge whether danger sources information is true.If danger sources information is true, step S4 is performed.If danger sources information is not true, hold Row step S5.
Step S4, danger sources information is added in dangerous source database.
By the present invention public sentiment data processing method be applied to public sentiment data processing unit use during, it is necessary to All danger sources informations are stored, to meet the different demands of user (for example:According to storage danger sources information into The operation of row analyzing and processing, the default dangerous source data according to storage carry out judgement operation).Therefore, on the basis of above-described embodiment On, in other embodiment, the processing method of the public sentiment data further includes:Dangerous source database is established, is wrapped in dangerous source database Include:Default danger source data, for defining all kinds of dangerous matter sources, it includes title, attribute and/keyword;Second danger sources information, It is associated with default dangerous source data, for describing address, time, feature and/or the quantity of all kinds of dangerous matter sources.
Step S5, abandons danger sources information.
The present embodiment discard processing is not genuine danger sources information, reduces data processing amount, so as to both improve data Processing speed, also improves the real reliability of data to be analyzed, and then improves the accuracy rate of analysis result.
By the present invention public sentiment data processing method be applied to public sentiment data processing unit use during, it is necessary to Immediately it is, accurate and be easy to judge whether danger sources information is true, therefore, on the basis of above-described embodiment, in other embodiment, join See Fig. 2, step S3, including:
Step S30, extracts the critical data in danger sources information, and critical data includes current time and current address.
Step S31, obtains multiple second public sentiment datas for meeting default Correlation Criteria, and it is the second public sentiment to preset Correlation Criteria The time of data is in the preset time range of current time, and its address is in the range of the preset address of current address.
Step S32, according to the first public sentiment data and the similarity of multiple second public sentiment datas, to judge that danger sources information is No is true.
The present embodiment carries out validity by the public sentiment data in section and in same address realm at the same time and tests Card processing, causes the authenticity of danger sources information to verify and is easily achieved, so as to reduce design difficulty.
Further, in order to lift the verification speed of danger sources information, on the basis of above-described embodiment, other embodiment In, before step S30, it can also judge whether the danger sources information meets default verification condition, if satisfied, then performing step S31, if not satisfied, then directly adding danger sources information into dangerous source database.
Specifically, the default verification condition in the present embodiment can be the reliability of source web, and give out information User dependability etc..
For technical scheme detailed further, this case is carried out by taking above two technical solution as an example detailed Explanation.
1st, using the reliability of source web as foundation
First, the network platform is marked, to distinguish the different network platforms.Specifically, can be to the network platform Reliability carries out grade distinguishing or is distinguished by different marks.
Secondly, objective network platform corresponding with danger sources information is obtained, and is obtained corresponding with the objective network platform Goal gradient.
Finally, judge whether the goal gradient exceedes predetermined threshold value grade.If goal gradient exceedes predetermined threshold value grade, Illustrate that the danger sources information comes from the high website of reliability, operation is verified without performing invalid authenticity, so that further Operating process is simplified, so that further improving the processing speed of data.In addition, if goal gradient is not less than predetermined threshold value etc. Level, then illustrate that the danger sources information comes from the low website of reliability, need to perform authenticity and verify operation, accurate with lifting analysis Rate.
2nd, using the reliability of user behavior as foundation
First, the user behavior data produced according to each user carries out grading operation to the reliability of user, so that Each user has a corresponding user gradation.
Secondly, targeted customer corresponding with danger sources information is obtained, and obtains targeted customer corresponding with the targeted customer Grade.
Finally, judge whether targeted customer's grade exceedes predetermined threshold value user gradation.If targeted customer's grade exceedes pre- If threshold users grade, then illustrate that the danger sources information comes from the high user of reliability, operation verified without performing authenticity, So as to further simplify operating process, so that further improving the processing speed of data.In addition, if targeted customer's grade is not More than predetermined threshold value user gradation, then illustrate that the danger sources information comes from the low user of reliability, authenticity verification need to be performed Operation, to lift analysis accuracy rate.
For technical scheme detailed further, citing is described in detail.
Assuming that danger sources information is " Shenzhen South Mountain XXX (specific address) fire ", it is the low network platform of a reliability Or Client-initiated.Then need to judge the authenticity of the danger sources information.The concrete operations of true sex determination can be:
The public sentiment data in Shenzhen South Mountain XXX (relative address) of other websites or other users issue is obtained, for example:Obtain The most public sentiment data got all illustrates there occurs fire, then to illustrate that the danger sources information belongs to truthful data.Again, if The most public sentiment data got is all undeclared there occurs fire, then illustrates that the danger sources information is not belonging to truthful data.
It should be noted that Shenzhen South Mountain XXX (relative address) can be in being with Shenzhen South Mountain XXX (specific address) The heart, using preset length as radius (for example:100 meters) circle in address.
By the present invention public sentiment data processing method be applied to public sentiment data processing unit use during, it is necessary to Intuitively show danger sources information, therefore, on the basis of above-described embodiment, in other embodiment, referring to Fig. 3, after step S4, Further include:
Step S10, obtains the destination address of danger sources information.
Specifically, the first address of danger sources information is obtained, the first address refers to the ground that danger sources information is included in itself Location;And the second address of danger sources information is obtained, the second address refers to the ground that danger sources information generates in issuing process Location;When the first address is not empty, the address in danger sources information is used as using the first address;When the first address for it is empty when, with the Double-address is as the address in danger sources information.
It should be noted that the danger sources information in the present embodiment can be photo, it is attached on the photo when shooting the photo The information such as time and spot for photography are added.Had a talk about in addition, the danger sources information in the present embodiment can also be circle of friends, this is said Say positional information when addition of sending time and sending.
Step S11, according to destination address, dangerous matter sources map is mapped to by danger sources information and/or default dangerous source data On.
The present embodiment shows danger sources information output to dangerous matter sources map, so that required user is more directly perceived, quick Danger sources information is known, so as to improve user experience degree.
By the present invention public sentiment data processing method be applied to public sentiment data processing unit use during, it is necessary to Output is carried out according to the demand of user to show, therefore, on the basis of above-described embodiment, in other embodiment, referring to Fig. 4, step After rapid S11, further include:
Step S20, on dangerous matter sources map, single choice or multiselect are carried out to default dangerous source data.
Specifically, on dangerous matter sources map, tick boxes, Yong Huke can be provided before the title of default dangerous source data By choosing the tick boxes, dangerous source data is preset with selection.
In addition, user can also be in input keyword, output default dangerous source data corresponding with the keyword, with selection Default danger source data.
For technical scheme detailed further, terminal circle of one embodiment is illustrated referring to Fig. 5, Fig. 5 Face schematic diagram.
In Figure 5, left side is equipped with menu bar, which includes the title of search column and multiple default dangerous source datas, A tick boxes are equipped with before the title of each default dangerous source data.Right side is equipped with dangerous matter sources map.Therefore, user can be with Single choice and multiselect are carried out by tick boxes, search operaqtion can also be carried out by search column, and on dangerous matter sources map, output is aobvious Show the danger sources information needed for user.
Step S21, display and the danger sources information of default dangerous matter sources data correlation.
The present embodiment chooses default dangerous source data according to the demand of user, to export user institute immediately in dangerous matter sources map The information needed, so as to further improve user experience.
Further, in order to cause display more directly perceived, on the basis of above-described embodiment, in other embodiment, referring to Fig. 5, step S21, including:
Step S211, the quantity in attribute and danger sources information in default dangerous source data, estimates coverage.
Step S212, centered on the address of danger sources information, using coverage as radius, shows danger sources information.
The present embodiment exports display coverage automatically, consequently facilitating user makes the precautionary measures according to the coverage, So as to which loss be precisely controlled.
By the present invention public sentiment data processing method be applied to public sentiment data processing unit use during, it is necessary to The hazard event of immediate updating output display, therefore,, should referring to Fig. 6 in other embodiment on the basis of above-described embodiment The processing method of public sentiment data includes the following steps:
Step S40, deletes the target danger sources information that user chooses in dangerous source database.
Step S41, shows the corresponding default dangerous source data of the target danger sources information deleted in the form of non-light tone.
For the present embodiment according to real-time condition, real-time update presets the danger sources information on map, further ensures default The real-time accuracy of danger sources information on map, also further improves user experience.
In the present embodiment, the processing unit of the public sentiment data includes processor and memory, processor coupling memory.
Wherein, processor can be a general central processor, microprocessor, application-specific integrated circuit or one Or multiple integrated circuits for being used to control application scheme program to perform.
In addition, memory can be read-only storage, the static storage device that can store static information and instruction, deposit at random Access to memory or can store information and instruction dynamic memory or Electrically Erasable Programmable Read-Only Memory, only Read CD or other optical disc storages, laser disc storage, magnetic disk storage medium or other magnetic storage apparatus.Memory and processor It can be connected by communication bus, can also be integrated with processor.
Above-mentioned memory can be used for the computer program of storage execution application scheme, and processor can be used for performing memory The computer program of middle storage, to realize the processing method of the public sentiment data of above-described embodiment description.
Specifically, in the present embodiment, Fig. 6 illustrates one embodiment of the processing unit of public sentiment data of the present invention.Should The processing unit of public sentiment data includes public sentiment data acquisition module 10, screening module 11, validating module 12, add module 13 and loses Abandon module 14.
Wherein, public sentiment data acquisition module 10, for obtaining the first public sentiment data in the network platform;Screening module 11, For by default dangerous source data, being screened to the first public sentiment data, to generate danger sources information;Validating module 12, is used In extracting the critical data in danger sources information, and associated by critical data with the second public sentiment data, to judge that dangerous matter sources are believed Whether breath is true;Add module 13, if being true for danger sources information, dangerous source database is added to by danger sources information In;Discard module 14, if not being true for danger sources information, abandons danger sources information.
On the basis of above-described embodiment, in other embodiment, referring to Fig. 8, the processing unit of the public sentiment data further includes Build module 20.
Wherein, module 20 is built, for establishing dangerous source database, dangerous source database includes:Default dangerous matter sources number According to for defining all kinds of dangerous matter sources, it includes title, attribute and/keyword;Second danger sources information, itself and default dangerous matter sources Data are associated, for describing address, time, feature and/or the quantity of all kinds of dangerous matter sources.
On the basis of above-described embodiment, in other embodiment, referring to Fig. 9, validating module 12 include extraction unit 121, Acquiring unit 122 and verification unit 123.
Wherein, extraction unit 121, for extracting the critical data in danger sources information, critical data includes current time And current address;Acquiring unit 122, multiple second public sentiment datas of default Correlation Criteria are met for obtaining, and preset association bar Part for the second public sentiment data time in the preset time range of current time, and its address is in the preset address of current address In the range of;Unit 123 is verified, for the similarity according to the first public sentiment data and multiple second public sentiment datas, to judge danger Whether source information is true.
On the basis of above-described embodiment, in other embodiment, referring to Figure 10, the processing unit of the public sentiment data further includes Address acquisition module 30 and mapping block 31.
Wherein, address acquisition module 30, for obtaining the destination address of danger sources information;Mapping block 31, for basis Destination address, danger sources information and/or default dangerous source data are mapped on dangerous matter sources map.
On the basis of above-described embodiment, in other embodiment, referring to Figure 11, address acquisition module 30 further includes the first ground 301 and second address acquisition unit 302 of location acquiring unit.
Wherein, the first address acquisition unit 301, for obtaining the first address of danger sources information, the first address refers to endanger The address that dangerous source information is included in itself;And second address acquisition unit 302, for obtaining the second ground of danger sources information Location, the second address refer to the address that danger sources information generates in issuing process;When the first address is not empty, with the first address As the address in danger sources information;When the first address is empty, the address in danger sources information is used as using the second address.
On the basis of above-described embodiment, in other embodiment, referring to Figure 12, the processing unit of the public sentiment data further includes 40 and first display module 41 of selecting module.
Wherein, selecting module 40, in dangerous matter sources map, single choice or multiselect to be carried out to default dangerous source data;The One display module 41, for showing the danger sources information with default dangerous matter sources data correlation.
On the basis of above-described embodiment, in other embodiment, referring to Figure 13, which includes pro form bill Member 410 and display unit 411.
Wherein, evaluation unit 410, the quantity in the attribute and danger sources information in dangerous source data is preset for basis, Estimate coverage;Display unit 411, for centered on the address of danger sources information, using coverage as radius, display to be endangered Dangerous source information.
On the basis of above-described embodiment, in other embodiment, referring to Figure 14, the processing unit of the public sentiment data further includes 50 and second display module 51 of removing module.
Wherein, removing module 50, the target danger sources information chosen for deleting user in dangerous source database;Second Display module 51, for showing the corresponding default dangerous source data of target danger sources information deleted in the form of non-light tone.
The other details of technical solution are realized on each module in the processing unit of above-mentioned eight embodiment public sentiment datas, can Referring to the description in the processing method of the public sentiment data in above-described embodiment, details are not described herein again.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to. For device class embodiment, since it is substantially similar to embodiment of the method, so description is fairly simple, related part ginseng See the part explanation of embodiment of the method.
The present embodiment additionally provides a kind of storage medium, and for storing computer program, it includes for performing the application Routine data designed by the processing method embodiment of above-mentioned public sentiment data.By performing the computer stored in the storage medium Program, it is possible to achieve the processing method for the public sentiment data that the application provides.
The embodiment of invention is described in detail above, but it is only used as example, and the present invention is not intended to limit With specific embodiments described above.For a person skilled in the art, any equivalent modifications carried out to the invention Or substitute also all among scope of the invention, therefore, the equalization made in the case where not departing from the spirit and principles in the present invention scope Conversion and modification, improvement etc., all should be contained within the scope of the invention.

Claims (10)

1. a kind of processing method of public sentiment data, it is characterised in that it includes:
The first public sentiment data is obtained in the network platform;
By default dangerous source data, first public sentiment data is screened, to generate danger sources information;
The critical data in the danger sources information is extracted, and is associated by the critical data with the second public sentiment data, to sentence Whether the danger sources information of breaking is true;
If the danger sources information is true, the danger sources information is added in dangerous source database;
If the danger sources information is not true, the danger sources information is abandoned.
2. the processing method of public sentiment data according to claim 1, it is characterised in that it is further included:
The dangerous source database is established, the danger source database includes:
The default dangerous source data, for defining all kinds of dangerous matter sources, it includes title, attribute and/keyword;
The danger sources information, it is associated with the default dangerous source data, for describe all kinds of dangerous matter sources address, when Between, feature and/or quantity.
3. the processing method of public sentiment data according to claim 2, it is characterised in that extract in the danger sources information Critical data, and associated by the critical data with the second public sentiment data, to judge whether the danger sources information is true, bag Include:
The critical data in the danger sources information is extracted, the critical data includes current time and current address;
Multiple second public sentiment datas for meeting default Correlation Criteria are obtained, the default Correlation Criteria is second public sentiment data Time in the preset time range of the current time, and its address is in the range of the preset address of the current address;
According to first public sentiment data and the similarity of the multiple second public sentiment data, to judge that the danger sources information is No is true.
4. the processing method of public sentiment data according to claim 2, it is characterised in that be added to the danger sources information In dangerous source database, further include afterwards:
Obtain the destination address of the danger sources information;
According to the destination address, the danger sources information and/or the default dangerous source data are mapped to dangerous matter sources map On.
5. the processing method of public sentiment data according to claim 4, it is characterised in that obtain in the danger sources information Destination address, including:
The first address of the danger sources information is obtained, first address refers to the ground that the danger sources information is included in itself Location;And
The second address of the danger sources information is obtained, second address refers to that the danger sources information is raw in issuing process Into address;
When first address is not empty, the address in the danger sources information is used as using first address;When described When one address is empty, the address in the danger sources information is used as using second address.
6. the processing method of public sentiment data according to claim 4, it is characterised in that according to the destination address, by institute State danger sources information and/or the default dangerous source data is mapped on dangerous matter sources map, further include afterwards:
On the dangerous matter sources map, single choice or multiselect are carried out to the default dangerous source data;
Display and the danger sources information of the default dangerous matter sources data correlation.
7. the processing method of public sentiment data according to claim 6, it is characterised in that display and the default dangerous matter sources number According to associated danger sources information, including:
The quantity in attribute and the danger sources information in the default dangerous source data, estimates coverage;
Centered on the address of the danger sources information, using the coverage as radius, the danger sources information is shown.
8. the processing method of public sentiment data according to claim 1, it is characterised in that further include:
The target danger sources information that user chooses is deleted in the dangerous source database;
The corresponding default dangerous source data of target danger sources information of the deletion is shown in the form of non-light tone.
9. a kind of processing unit of public sentiment data, it is characterised in that it includes memory, processor and is stored in the storage On device and the computer program that can run on the processor, when the processor performs the computer program, power is realized Profit requires the step in the processing method of any one of 1-8 public sentiment datas.
10. a kind of storage medium, is stored thereon with computer program, it is characterised in that the computer program is held by processor The step in the processing method of any one of the claim 1-8 public sentiment datas is realized during row.
CN201711147137.XA 2017-11-17 2017-11-17 Public opinion data processing method and device and storage medium Pending CN107967310A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711147137.XA CN107967310A (en) 2017-11-17 2017-11-17 Public opinion data processing method and device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711147137.XA CN107967310A (en) 2017-11-17 2017-11-17 Public opinion data processing method and device and storage medium

Publications (1)

Publication Number Publication Date
CN107967310A true CN107967310A (en) 2018-04-27

Family

ID=62001273

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711147137.XA Pending CN107967310A (en) 2017-11-17 2017-11-17 Public opinion data processing method and device and storage medium

Country Status (1)

Country Link
CN (1) CN107967310A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543186A (en) * 2018-11-22 2019-03-29 北京奇安信科技有限公司 A kind of public feelings information processing method, system, electronic equipment and medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102929918A (en) * 2012-09-20 2013-02-13 西北工业大学 False online public opinion identification method
CN103092950A (en) * 2013-01-15 2013-05-08 重庆邮电大学 Online public opinion geographical location real time monitoring system and method
CN104504150A (en) * 2015-01-09 2015-04-08 成都布林特信息技术有限公司 News public opinion monitoring system
US20160203527A1 (en) * 2015-01-12 2016-07-14 Xerox Corporation Authentication system and method to improve trust in public reviews
CN107045524A (en) * 2016-12-30 2017-08-15 中央民族大学 A kind of method and system of network text public sentiment classification

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102929918A (en) * 2012-09-20 2013-02-13 西北工业大学 False online public opinion identification method
CN103092950A (en) * 2013-01-15 2013-05-08 重庆邮电大学 Online public opinion geographical location real time monitoring system and method
CN104504150A (en) * 2015-01-09 2015-04-08 成都布林特信息技术有限公司 News public opinion monitoring system
US20160203527A1 (en) * 2015-01-12 2016-07-14 Xerox Corporation Authentication system and method to improve trust in public reviews
CN107045524A (en) * 2016-12-30 2017-08-15 中央民族大学 A kind of method and system of network text public sentiment classification

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543186A (en) * 2018-11-22 2019-03-29 北京奇安信科技有限公司 A kind of public feelings information processing method, system, electronic equipment and medium
CN109543186B (en) * 2018-11-22 2023-12-19 奇安信科技集团股份有限公司 Public opinion information processing method, system, electronic equipment and medium

Similar Documents

Publication Publication Date Title
US9300755B2 (en) System and method for determining information reliability
CN102279875B (en) Method and device for identifying fishing website
TWI684151B (en) Method and device for detecting illegal transaction
CN101894134B (en) Spatial layout-based fishing webpage detection and implementation method
US9519718B2 (en) Webpage information detection method and system
CN102663023A (en) Implementation method for extracting web content
CN108009078A (en) A kind of application interface traversal method, system and test equipment
CN102710770A (en) Identification method for network access equipment and implementation system for identification method
CN109104421B (en) Website content tampering detection method, device, equipment and readable storage medium
CN109768992A (en) Webpage malicious scanning processing method and device, terminal device, readable storage medium storing program for executing
CN107341399A (en) Assess the method and device of code file security
CN111125118B (en) Associated data query method, device, equipment and medium
CN108512822B (en) Risk identification method and device for data processing event
CN103279516A (en) Web spider identification method
CN107733902A (en) A kind of monitoring method and device of target data diffusion process
CN112699295A (en) Webpage content recommendation method and device and computer readable storage medium
CN102891861B (en) Client-based phishing website detection method and device
CN103713894A (en) Method and equipment for determining access demand information of user
CN104348871A (en) Similar account expanding method and device
CN112016317A (en) Sensitive word recognition method and device based on artificial intelligence and computer equipment
CN103544150A (en) Method and system for providing recommendation information for mobile terminal browser
CN108270754B (en) Detection method and device for phishing website
CN102915313B (en) Error correction relation generation method and system in web search
JP6162134B2 (en) Social page trigger
CN109816004A (en) Source of houses picture classification method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180427

RJ01 Rejection of invention patent application after publication