CN108959432A - It is a kind of that media public sentiment monitoring method is melted based on big data - Google Patents
It is a kind of that media public sentiment monitoring method is melted based on big data Download PDFInfo
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- CN108959432A CN108959432A CN201810596830.3A CN201810596830A CN108959432A CN 108959432 A CN108959432 A CN 108959432A CN 201810596830 A CN201810596830 A CN 201810596830A CN 108959432 A CN108959432 A CN 108959432A
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- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
The invention discloses a kind of to melt media public sentiment monitoring method based on big data, includes the following steps: S100, establishes public sentiment collection branch website respectively on each media platform, carries out the real-time acquisition of different media public feelings informations；S200, the total website of public feelings information is established, the collected public feelings information of branch website institute is collected to the public sentiment on each media platform in step S100 and is handled；S300, public feelings information evaluation index is established, and analysis and assessment are carried out to the processing result of public feelings information in step S200, principle is simple, it is practical, can in real time to the public feelings information that multiple social events generate carry out in real time, accurately and reliably monitoring management, grasp the condition of the people in time, understand the will of the people, improve the high efficiency and reliability of social public opinion information collection, it can effectively avoid and public opinion turmoil occurs, influence Community health's development.
Description
Technical field
It is specially a kind of that the monitoring of media public sentiment is melted based on big data the present invention relates to media public sentiment monitoring technical field
Method.
Background technique
Public sentiment monitoring, integrates internet information acquisition technology and information intelligent processing technique by believing internet mass
Breath automatically grab, automatic taxonomic clustering, topic detection, focus on special topic, realize user network public-opinion monitoring and Special Topics in Journalism chase after
The information requirements such as track form the analysis such as bulletin, report, chart as a result, grasping masses' thought dynamic comprehensively for client, make just
True Public-opinion directing provides analysis foundation.
Currently, it is public sentiment monitoring system that many systems, which are all known as, and many units, which are also known as, to be monitored public sentiment,
This may be conscious commercial propaganda, it is also possible to which a kind of ignorant, this is strictly a beautiful poisonous mushroom, media public sentiment
Monitoring on surface is that technological means automatically grabs web site contents, actually and sends someone to enter the room to deploy to ensure effective monitoring and control of illegal activities and is not different, from legal principle and road
From the point of view of justice, public sentiment monitoring all have no basis, the commercial propaganda of exaggeration often to unit one belongs to and country image all
It will cause baneful influence, be all a kind of infringement to society and individual.
In fact, public sentiment can only monitor, can only grasp, and control supervision cannot be implemented, be otherwise trample to the will of the people and
The problem of infringement of law, public sentiment, must be solved using the method for public sentiment, and the target of public sentiment monitoring is not configured to supervise and control
The will of the people, but technological means is used, media public feelings information is acquired, to reach the social condition of the people of understanding, the will of the people is excavated, thus auxiliary
National decision is helped, is preferably serviced for science decision and construction of harmonious society.
The earliest form of public sentiment monitoring is social investigation, goes to a grassroots level and understands the hardships of the people, and development now is that media public sentiment is supervised
It surveys, social public opinion research cost is greatly reduced using technological means by means of vast media channel, still, existing media
The range of public sentiment investigation is narrow, and used mode is also relatively simple, frequently results in public sentiment monitoring result inaccuracy, carriage
The acquisition of feelings information, which is compared, expends the time, reduces the real-time and reliability of public sentiment monitoring.
Summary of the invention
In order to overcome the shortcomings of prior art, the present invention, which provides, a kind of melts the monitoring of media public sentiment based on big data
Method, principle is simple, practical, and the public feelings information that can be generated in real time to multiple social events is monitored management, and energy
The problem of effective solution background technique proposes.
The technical solution adopted by the present invention to solve the technical problems is:
It is a kind of that media public sentiment monitoring method is melted based on big data, include the following steps:
S100, it establishes public sentiment collection branch website respectively on each media platform, carries out the reality of different media public feelings informations
When acquire；
S200, the total website of public feelings information is established, branch website institute is collected to the public sentiment on each media platform in step S100
Collected public feelings information is handled；
S300, public feelings information evaluation index is established, and assessment point is carried out to the processing result of public feelings information in step S200
Analysis.
Further, in the step S100, media platform includes internet, mobile phone, TV, broadcast, newspaper and week
Periodical, and the collected public feelings information of branch website institute is collected to the public sentiment on these media platforms in the step S200 and is carried out
When processing, according to certain priority orders.
Further, in the step S200, the processing to public feelings information further includes following steps:
The level-one screening of S201, public feelings information, screen out for the inessential information of event；
The second level screening of S202, public feelings information, screen out and are in neutral information for event public sentiment；
S203, be based on step S201 and step S202, classify to public feelings information, including public sentiment agree with it is anti-with public sentiment
To (or public sentiment commendation and public sentiment derogatory sense or public sentiment is positive and public sentiment is passive) two classes, and public sentiment is agreed with respectively and public sentiment is opposed
Information carry out integration processing, based on processing result is integrated, establish the public feelings information evaluation index in the step S300.
Further, the public feelings information evaluation index is denoted as S, and the specific formula for calculation of S is as follows:
Wherein, O (Oppose) indicates that public sentiment opposes information integration value；A (Agree) indicates that public sentiment agrees with information integration value；
The assessment result of public feelings information determines according to the value of S.
Further, the assessment result of the public feelings information includes normal, dangerous and abnormally dangerous three classes, specific to classify
Mode is as follows:
As S≤1, public sentiment assessment result is normal；
As 1 < S < 5, public sentiment assessment result is danger；
As S >=5, public sentiment assessment result is abnormally dangerous.
Further, in the step S100, public sentiment collects in branch website and is provided with several information collection substations, point
The public feelings information for different event Yong Lai not acquired.
Further, the priority orders are to be divided according to different media using crowd's range size, and range is got over
Greatly, priority level is higher, wherein internet and mobile phone belong to the first priority, and TV and broadcast belong to the second priority, report
Paper and weekly belong to third priority.
Further, in the assessment result of the public feelings information, dangerous and breakneck cut off value is according to actual needs
Depending on.
Compared with prior art, the beneficial effects of the present invention are:
The present invention publishes in the integrated medium technique that melts by collection internet, mobile phone, TV, broadcast, newspaper and week, uses
Big data information processing can be realized the function that real-time, accurate, reliable, many-sided monitoring is carried out to social public opinion, timely to slap
It holds the condition of the people, understand the will of the people, improve the high efficiency and reliability of social public opinion information collection, can effectively avoid the social carriage of generation
By turmoil, Community health's development is influenced.
Specific embodiment
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is general
Logical technical staff every other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
The present invention provides a kind of to melt media public sentiment monitoring method based on big data, includes the following steps:
S100, it establishes public sentiment collection branch website respectively on each media platform, carries out the reality of different media public feelings informations
When acquire；
S200, the total website of public feelings information is established, branch website institute is collected to the public sentiment on each media platform in step S100
Collected public feelings information is handled；
S300, public feelings information evaluation index is established, and assessment point is carried out to the processing result of public feelings information in step S200
Analysis.
Further, in the step S100, media platform includes internet, mobile phone, TV, broadcast, newspaper and week
Periodical, and the collected public feelings information of branch website institute is collected to the public sentiment on these media platforms in the step S200 and is carried out
When processing, according to certain priority orders, the priority orders are to be divided according to different media using crowd's range size
, range is bigger, and priority level is higher.
In recent years, with the fast development of internet and electronic equipment, the network media is propagated as a kind of emerging information
Form has been deeply involved in people's daily life, and online friend's speech actively has reached unprecedented degree, whether domestic or state
Border major event can form Internet public opinion at once, viewpoint, propagating thought be expressed by this network, and then generate huge
Pressure from public opinion, reach the stage that any part, mechanism can not all ignore, moreover, along with younger generation crowd extensively make
With, so that the main path of internet and mobile phone as nowadays media information Public Opinion Transmission, and two matchmaker of internet and mobile phone
The rapid development of body results in the decline of traditional media, and still, still some person in middle and old age group is passed by TV and broadcast
Information is passed, and the media information circulation way of newspaper and weekly as papery, use scope are just smaller, so, the present invention
Middle to be used as the second priority using internet and mobile phone as the first priority, TV and broadcast, newspaper and weekly are excellent as third
First grade.
When some event occurs, people can deliver some speeches, view for the event on different media platforms
Deng at this point, can be monitored by acquiring these commentaries to public sentiment, to judge people for the event
Emotion be biased to (be agree with or commendation, actively, or oppose or derogatory sense, passiveness), so as to be aware of public sentiments, comply in time
The will of the people.
Further, in the step S200, the processing to public feelings information further includes following steps:
The level-one screening of S201, public feelings information are for screening out the institute's generation event that is directed to, one issued on media platform
A little inessential information；
The second level screening of S202, public feelings information are for screening out the institute's generation event that is directed to, the carriage issued on media platform
Feelings are in neutral information；
S203, it is based on step S201 and step S202, by some unimportant public feelings informations and some neutral public feelings informations
After screening out, classify to remaining public feelings information, including public sentiment agree with opposing with public sentiment (or public sentiment commendation and public sentiment derogatory sense,
Or public sentiment actively and public sentiment is passive) two classes, and public sentiment is agreed with respectively and the information of public sentiment opposition carries out integration processing, is based on
Processing result is integrated, the public feelings information evaluation index in the step S300 is established.
The public feelings information evaluation index is denoted as S, and the specific formula for calculation of S is as follows:
Wherein, O (Oppose) indicates that public sentiment opposes information integration value；A (Agree) indicates that public sentiment agrees with information integration value；
The assessment result of public feelings information determines according to the value of S.
The assessment result of the public feelings information includes normal, dangerous and abnormally dangerous three classes, and specific mode classification is as follows:
As S≤1, public sentiment assessment result is normal；
As 1 < S < 5, public sentiment assessment result is danger；
As S >=5, public sentiment assessment result is abnormally dangerous.
Supplementary explanation, public feelings information evaluation index S can also be calculated according to the formula of S=O-A (i.e. S be public sentiment it is anti-
Agree with information integration value and public sentiment the difference of information integration value), as S≤0, indicate public sentiment assessment result be it is normal, work as S
When > 0, indicate that public sentiment assessment result is dangerous or abnormally dangerous, so, as S > 0, it is also necessary to further, by S
Value be compared with base value O, A, and cannot directly by determine S value a certain range, as sentencing for assessment of risks result
Fixed or abnormally dangerous assessment result judgement, such as:
Work as O=60, when A=10, S=O-A=60-10=50 > 0；
Work as O=500, when A=450, S=O-A=500-450=50 > 0；
In above-mentioned two situations, the value of S is 50, if being directly assessment of risks result by the regulation a certain range of S value
Either abnormally dangerous assessment result, then above-mentioned two situations are same assessment result, as dangerous or abnormally dangerous, but
It is, if the value of S=O-A in each case is compared with base value O, A, it is found that in the case of the first, 50
For value 60 compared to radix O, accounting is larger, while still five times of radix A value, so, it is believed that the public sentiment of the first situation
Assessment result is abnormally dangerous；And under second situation, 50 is all smaller compared to base value O, A, so, it is believed that second of feelings
The public sentiment assessment result of condition be danger, as according toFormula is calculated:
Work as O=60, when A=10,Assessment result is abnormally dangerous；
Work as O=500, when A=450,Assessment result is danger；
So according to the above description, it can not be directly using the value of S=O-A as public feelings information evaluation index, it is also necessary to
Further processing analysis.
Further, in the step S100, public sentiment collects in branch website and is provided with several information collection substations, point
The public feelings information for different event Yong Lai not be acquired, to can realize that public sentiment collection branch website can be simultaneously to multiple things
Part carries out the function of public feelings information acquisition, avoids having ignored another event because of an event, leads to ignored event pair
Society causes certain pressure from public opinion, to develop with affecting social normal health.
In the assessment result of the public feelings information, dangerous and breakneck cut off value (5) according to actual needs depending on,
In carrying out public feelings information assessment, and value just centainly is defined with breakneck using 5 as dangerous, generally required according to reality
Result in assessment is set.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, nothing
By from the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by institute
Attached claim rather than above description limit, it is intended that will fall within the meaning and scope of the equivalent elements of the claims
All changes be included within the present invention.
Claims (8)
1. a kind of melt media public sentiment monitoring method based on big data, characterized by the following steps:
S100, it establishes public sentiment collection branch website respectively on each media platform, carries out adopting in real time for different media public feelings informations
Collection；
S200, the total website of public feelings information is established, branch website is collected to the public sentiment on each media platform in step S100 and is acquired
To public feelings information handled；
S300, public feelings information evaluation index is established, and analysis and assessment is carried out to the processing result of public feelings information in step S200.
A kind of media public sentiment monitoring method is melted based on big data 2. according to claim 1, it is characterised in that: the step
In rapid S100, media platform includes internet, mobile phone, TV, broadcast, newspaper and weekly, and right in the step S200
It is suitable according to certain priority when the collected public feelings information of public sentiment collection branch website institute on these media platforms is handled
Sequence.
A kind of media public sentiment monitoring method is melted based on big data 3. according to claim 1, it is characterised in that: the step
In rapid S200, the processing to public feelings information further includes following steps:
The level-one screening of S201, public feelings information, screen out for the inessential information of event；
The second level screening of S202, public feelings information, screen out and are in neutral information for event public sentiment；
S203, be based on step S201 and step S202, classify to public feelings information, including public sentiment agree with public sentiment oppose (or
Public sentiment commendation and public sentiment derogatory sense or public sentiment is positive and public sentiment is passive) two classes, and public sentiment is agreed with respectively and public sentiment oppose information
Integration processing is carried out, based on processing result is integrated, establishes the public feelings information evaluation index in the step S300.
A kind of media public sentiment monitoring method is melted based on big data 4. according to claim 3, it is characterised in that: the carriage
Feelings information evaluation index is denoted as S, and the specific formula for calculation of S is as follows:
Wherein, O (Oppose) indicates that public sentiment opposes information integration value；A (Agree) indicates that public sentiment agrees with information integration value；
The assessment result of public feelings information determines according to the value of S.
A kind of media public sentiment monitoring method is melted based on big data 5. according to claim 4, it is characterised in that: the carriage
The assessment result of feelings information includes normal, dangerous and abnormally dangerous three classes, and specific mode classification is as follows:
As S≤1, public sentiment assessment result is normal；
As 1 < S < 5, public sentiment assessment result is danger；
As S >=5, public sentiment assessment result is abnormally dangerous.
A kind of media public sentiment monitoring method is melted based on big data 6. according to claim 1, it is characterised in that: the step
In rapid S100, public sentiment collects in branch website and is provided with several information collection substations, is respectively intended to acquisition for different event
Public feelings information.
A kind of media public sentiment monitoring method is melted based on big data 7. according to claim 2, it is characterised in that: described excellent
First grade sequence is to be divided according to different media using crowd's range size, and range is bigger, and priority level is higher, wherein interconnection
Net and mobile phone belong to the first priority, and TV and broadcast belong to the second priority, and newspaper and weekly belong to third priority.
A kind of media public sentiment monitoring method is melted based on big data 8. according to claim 5, it is characterised in that: the carriage
In the assessment result of feelings information, dangerous and breakneck cut off value according to actual needs depending on.
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| CN112800343A (en) * | 2021-02-01 | 2021-05-14 | 中慧绿浪科技(天津)集团有限公司 | Method and system for monitoring network public sentiment based on big data |
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Application publication date: 20181207 |