CN107967310A - Public opinion data processing method and device and storage medium - Google Patents
Public opinion data processing method and device and storage medium Download PDFInfo
- 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
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 37
- 238000003860 storage Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 39
- 238000000034 method Methods 0.000 claims abstract description 12
- 241001269238 Data Species 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 9
- 239000000284 extract Substances 0.000 claims description 3
- 238000012217 deletion Methods 0.000 claims 1
- 230000037430 deletion Effects 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 7
- 238000012216 screening Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 14
- 230000006872 improvement Effects 0.000 description 8
- 238000012795 verification Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 230000020509 sex determination Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing 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
- G06F2221/2119—Authenticating 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
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.
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)
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)
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 |
-
2017
- 2017-11-17 CN CN201711147137.XA patent/CN107967310A/en active Pending
Patent Citations (5)
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)
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 |