CN104902292A - Television report-based public opinion analysis method and system - Google Patents
Television report-based public opinion analysis method and system Download PDFInfo
- Publication number
- CN104902292A CN104902292A CN201510261420.XA CN201510261420A CN104902292A CN 104902292 A CN104902292 A CN 104902292A CN 201510261420 A CN201510261420 A CN 201510261420A CN 104902292 A CN104902292 A CN 104902292A
- Authority
- CN
- China
- Prior art keywords
- video
- influence power
- analysis
- public opinion
- power parameter
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a television report-based public opinion analysis method and a television report-based public opinion analysis system which are used for collecting and calculating television report data in a plurality of areas to achieve the purpose of analyzing the public opinion of a specific analysis object in different areas. The method comprises the steps as follows: collecting video report data in preset television report collecting areas according to a preset keyword, and separately recording the quantities of the video reports in different areas, wherein the key word is the keyword which is related to an object needing public opinion analysis; calculating the value of each video data public opinion analysis element of the video report data according to the video report data collected in different areas, wherein the video data public opinion analysis elements include the video-playing time frame, the video-playing time length and the keyword occurrence frequency; calculating influence parameters of the object needing public opinion analysis in different areas according to the quantities of the video reports and the values of the video data public opinion analysis elements obtained by calculating.
Description
Technical field
The present invention relates to television broadcasting technical field of information processing, particularly a kind of the analysis of public opinion method and system based on television report.
Background technology
Public sentiment is the abbreviation of " public opinion situation ", refer in certain social space, around the generation of intermediary social event, development and change, the social attitude that the common people as main body produce the orientation as the social governor of object, enterprise, individual and the aspect such as other various organizations and politics, society, morals and hold.It is the summations of the more masses about the conviction expressed by phenomenon various in society, problem, attitude, suggestion and mood etc. performance.
From traditional sociological theory, public sentiment itself is a concept in will of the people theory, and it is a kind of concentrated expression of the will of the people.Along with the high speed development of modern society, the reflection channel of public sentiment shows in number of ways, as: TV, broadcast, newspaper, the Internet and just in develop rapidly from media etc.And in number of ways, television report is still that the performance public is to the major way of the social attitude that organization or personnel hold.
On March 17th, 2014, investigate laboratory edit by China of the Chinese Academy of Social Sciences public sentiment, " Chinese public sentiment index report (2013) " that Literature in Social Sciences publishing house publishes formally issues.Research is pointed out, TV and newspaper remain the media that compatriots trust most, importance degree and influence power still super-network.This report shows, and compared with before 6 years, China public surf time every day increased nearly 3 hours from more than 1 hour, and sees that the time of TV remains basically stable.However, trust very much people or compare in the media of trust, rank front two be still TV (81.1%) and newspaper (70.3%) respectively, be only network (50.4%) afterwards.
Therefore can see, although in today of multimedia develop rapidly, television report is still the public sentiment reflection mode paid close attention to by the numerous public and trust.But, due to the diversity of TV media, as in China, nearly all there is oneself television channel in each province, city, county, when numerous television channels is reported same target, as the report to certain enterprise, difference may be produced: such as may carry out reporting, also may showing different public sentiment results etc. in the different time periods, this is to judging that the influence power of this enterprise in various places creates inconvenience.In prior art, lack a kind of effectively based on the analysis of public opinion method of television report, the public sentiment of specific industry, special object is analyzed.
Summary of the invention
The invention provides a kind of the analysis of public opinion method and system based on television report, in order to gather the television report data in multiple region and to calculate, realize the object that specific analytic target is analyzed in the public sentiment of zones of different.
The invention provides a kind of the analysis of public opinion method based on television report, comprising:
In the television report pickup area preset, gather video report data according to the keyword preset, and be recorded in the video report quantity of zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
According to the video report data of the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
According to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculate the described influence power parameter of object in zones of different needing to carry out the analysis of public opinion.
Some beneficial effects of the embodiment of the present invention can comprise:
By arranging the regional extent of the television report of the analysis of public opinion and object in advance, collecting after the television report data of the analysis of public opinion object in zones of different, record is carried out to video report data, and the different the analysis of public opinion key elements in video report data are extracted, by extracting the analysis of public opinion key element obtained, can calculate and treat the influence power parameter of the analysis of public opinion object in zones of different, thus reflected the influence power height of this object in zones of different intuitively, and this influence power parameter can also compare with the influence power parameter level line of setting, according to comparative result, draw different the analysis of public opinion conclusions.
In one embodiment, also comprise:
According to the influence power parameter of the zones of different calculated, the influence power parameter of described zones of different and the influence power horizontal line preset are compared;
If the influence power parameter in certain region is lower than described influence power horizontal line, then increase the video report quantity of this region to described the analysis of public opinion object;
If the influence power parameter in certain region is greater than or equal to described influence power horizontal line, then current video in this region is kept to play quantity constant.
By comparing with the influence power horizontal line preset calculating influence power parameter in this embodiment, draw the analysis of public opinion result of influence power parameter when varying level, this influence power horizontal line preset can be arranged according to practical experience.After drawing the comparative result between influence power parameter and influence power horizontal line, directly draw the analysis of public opinion result according to this comparative result, and then this analysis of public opinion result is processed.Time as lower in the influence power in somewhere (lower than influence power horizontal line), namely increase video report quantity in this region, to improve the influence power of this analysis of public opinion object on this ground.
In one embodiment, also comprise:
When described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
According to described all videos report data, the quantity of the video report data of different object in statistics the sector;
When described industry event is front, then successively rank is carried out to the influence power parameter of different object from high to low according to the quantity of the video report data of object different in the sector;
When described industry event is negative, then successively rank is carried out to the influence power parameter of different object from low to high according to the quantity of the video report data of object different in the sector.
This embodiment, to described when the industry generation group industry event of the analysis of public opinion object place, according to related data data when the sector event being carried out to television report, to analyze in industry each object in the influence power rank of the industry.If the sector event is positive event, then the user that in the television report of being correlated with in this event, occurrence number is maximum is the highest in the influence power of the industry, and the user that occurrence number is minimum is minimum in the influence power of the industry; When the sector event is negative event, then result is contrary.By the present embodiment, by gathering the associated video report data of industry event, preliminary rank can be carried out to the influence power of each user in industry, obtaining the influence power level height relation of each user.
In one embodiment, described according to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculate the described object needing to carry out the analysis of public opinion and comprise in the influence power parameter of zones of different:
The first influence power parameter is calculated in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
The second influence power parameter is calculated in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
The 3rd influence power parameter is calculated in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
The keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset calculate the 4th influence power parameter;
Described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter are added, obtain the influence power parameter of this object in zones of different.
To calculating, this embodiment treats that the method for the influence power parameter of the analysis of public opinion object limits, respectively by quantity video being reported data, the time period of video report data playback, the playing duration of video report data, in video report data, keyword occurrence number carries out addition computing with corresponding addition algorithm, obtain different influence power indexs, again all indexs are added, namely calculative influence power parameter is obtained, these computational methods take into account the impact that Different factor may bring influence power parameter, calculate simple, fast, wherein, various addition algorithm can be preset in advance.This embodiment not only achieves how to calculate treats the calculating of the analysis of public opinion object in the influence power parameter of zones of different, and possible influencing factor is all counted, and improves the efficiency of the analysis of public opinion.
In one embodiment, the just negative attribute kit of described analysis the sector event is drawn together:
Front dictionary and negative dictionary are set in this locality in advance, judge whether described all videos report data comprise this front dictionary or negative dictionary;
If only comprise front dictionary, do not comprise negative dictionary, then the positive negative attributes of the sector event is defined as front;
If only comprise negative dictionary, do not comprise front dictionary, then the positive negative attributes of the sector event is defined as negative;
If comprise front dictionary and negative dictionary simultaneously, then the positive negative attributes of the sector event is defined as the maximum dictionary attribute of occurrence number.
This embodiment, to how determining that the positive negative attributes of industry event limits, first presets front dictionary and negative dictionary in this locality, whether comprise according to video report data the positive negative attributes that the sector event determined in corresponding dictionary.Those skilled in the art should understand, when only comprising front dictionary or negative dictionary, the positive negative attributes of the sector event can directly be defined as front or negative, if comprise front dictionary and negative dictionary simultaneously, then with the positive negative attributes of the maximum dictionary attribute determination the sector event of occurrence number.The positive negative attributes of industry event can be determined by the method for the present embodiment quickly and easily, improve operating efficiency, save the operating time.
Based on a analysis of public opinion system for television report, comprising:
Data acquisition module, for gathering video report data according to the keyword preset in the television report pickup area preset, and being recorded in the video report quantity of zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
Element factor calculation module, for the video report data according to the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
Parameter calculating module, for according to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculates the described influence power parameter of object in zones of different needing to carry out the analysis of public opinion.
In one embodiment, also comprise:
Parameter comparison module, for the influence power parameter according to the zones of different calculated, compares the influence power parameter of described zones of different and the influence power horizontal line preset;
First Executive Module, if for the influence power parameter in certain region lower than described influence power horizontal line, then increases the video report quantity of this region to described the analysis of public opinion object;
Second Executive Module, if for the influence power parameter in certain region greater than or equal to described influence power horizontal line, then keeps current video in this region to play quantity constant.
In one embodiment, also comprise:
Collection analysis module, for when described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
Data statistics module, for according to described all videos report data, adds up the quantity of the video report data of different object in the sector;
First ranking module, for when described industry event is front, then carries out rank to the influence power parameter of different object according to the quantity of the video report data of object different in the sector from high to low successively;
Second ranking module, during for being negative when described industry event, then carries out rank to the influence power parameter of different object according to the quantity of the video report data of object different in the sector from low to high successively.
In one embodiment, described parameter calculating module comprises:
First calculating sub module, for calculating first influence power parameter in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
Second calculating sub module, for calculating second influence power parameter in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
3rd calculating sub module, for calculating three influence power parameter in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
4th calculating sub module, calculates the 4th influence power parameter for the keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset;
COMPREHENSIVE CALCULATING submodule, for described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter being added, obtains the influence power parameter of this object in zones of different.
In one embodiment, described collection analysis module comprises:
Submodule preset in dictionary, for arranging front dictionary and negative dictionary in this locality in advance, judges whether described all videos report data comprise this front dictionary or negative dictionary;
First determines submodule, if for only comprising front dictionary, do not comprise negative dictionary, then the positive negative attributes of the sector event is defined as front;
Second determines submodule, if for only comprising negative dictionary, do not comprise front dictionary, is then defined as negative by the positive negative attributes of the sector event;
3rd determines submodule, if for comprising front dictionary and negative dictionary simultaneously, then the positive negative attributes of the sector event is defined as the maximum dictionary attribute of occurrence number.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write specification, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the flow chart of a kind of the analysis of public opinion method based on television report in the embodiment of the present invention;
Fig. 2 is the another kind of flow chart based on the analysis of public opinion method of television report in the embodiment of the present invention;
Fig. 3 be in the embodiment of the present invention another based on the flow chart of the analysis of public opinion method of television report;
Fig. 4 is the flow chart of the step S103 of a kind of the analysis of public opinion method based on television report in the embodiment of the present invention;
Fig. 5 is the flow chart of the step S107 of a kind of the analysis of public opinion method based on television report in the embodiment of the present invention;
Fig. 6 is the flow chart of a kind of the analysis of public opinion method based on television report in the specific embodiment of the invention;
Fig. 7 is the block diagram of a kind of the analysis of public opinion system based on television report in the embodiment of the present invention;
Fig. 8 is the block diagram of the parameter calculating module 73 of a kind of the analysis of public opinion system based on television report in the embodiment of the present invention;
Fig. 9 is the block diagram of the collection analysis module 77 of a kind of the analysis of public opinion system based on television report in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
Fig. 1 is the flow chart of a kind of the analysis of public opinion method based on television report in the embodiment of the present invention, and as shown in Figure 1, the method comprises the following steps S101-S104:
Step S101: gather video report data according to the keyword preset in the television report pickup area preset, and the video report quantity being recorded in zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
Step S102: according to the video report data of the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
Step S103: according to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculate the described influence power parameter of object in zones of different needing to carry out the analysis of public opinion.
Technical scheme of the present invention, by arranging the regional extent of the television report of the analysis of public opinion and object in advance, collecting after the television report data of the analysis of public opinion object in zones of different, record is carried out to video report data, and the different the analysis of public opinion key elements in video report data are extracted, by extracting the analysis of public opinion key element obtained, can calculate and treat the influence power parameter of the analysis of public opinion object in zones of different, thus reflected the influence power height of this object in zones of different intuitively, and this influence power parameter can also compare with the influence power parameter level line of setting, according to comparative result, draw different the analysis of public opinion conclusions.
In one embodiment, as shown in Figure 2, the method also comprises:
Step S104: according to the influence power parameter of the zones of different calculated, compares the influence power parameter of described zones of different and the influence power horizontal line preset;
Step S105: if the influence power parameter in certain region is lower than described influence power horizontal line, then increase the video report quantity of this region to described the analysis of public opinion object;
Step S106: if the influence power parameter in certain region is greater than or equal to described influence power horizontal line, then keep current video in this region to play quantity constant.
By comparing with the influence power horizontal line preset calculating influence power parameter in this embodiment, draw the analysis of public opinion result of influence power parameter when varying level, this influence power horizontal line preset can be arranged according to practical experience.After drawing the comparative result between influence power parameter and influence power horizontal line, directly draw the analysis of public opinion result according to this comparative result, and then this analysis of public opinion result is processed.Time as lower in the influence power in somewhere (lower than influence power horizontal line), namely increase video report quantity in this region, to improve the influence power of this analysis of public opinion object on this ground.
In one embodiment, as shown in Figure 3, the method also comprises:
Step S107: when described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
Step S108: according to described all videos report data, the quantity of the video report data of different object in statistics the sector;
Step S109: when described industry event is front, then carry out rank to the influence power parameter of different object from high to low successively according to the quantity of the video report data of object different in the sector;
Step S110: when described industry event is negative, then carry out rank to the influence power parameter of different object from low to high successively according to the quantity of the video report data of object different in the sector.
This embodiment, to described when the industry generation group industry event of the analysis of public opinion object place, according to related data data when the sector event being carried out to television report, to analyze in industry each object in the influence power rank of the industry.If the sector event is positive event, then the user that in the television report of being correlated with in this event, occurrence number is maximum is the highest in the influence power of the industry, and the user that occurrence number is minimum is minimum in the influence power of the industry; When the sector event is negative event, then result is contrary.By the present embodiment, by gathering the associated video report data of industry event, preliminary rank can be carried out to the influence power of each user in industry, obtaining the influence power level height relation of each user.
In one embodiment, as shown in Figure 4, step S103 can be embodied as following steps S401-S405:
Step S401: calculate the first influence power parameter in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
Step S402: calculate the second influence power parameter in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
Step S403: calculate the 3rd influence power parameter in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
Step S404: the keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset calculate the 4th influence power parameter;
Step S405: described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter are added, obtain the influence power parameter of this object in zones of different.
To calculating, this embodiment treats that the method for the influence power parameter of the analysis of public opinion object limits, respectively by quantity video being reported data, the time period of video report data playback, the playing duration of video report data, in video report data, keyword occurrence number carries out addition computing with corresponding addition algorithm, obtain different influence power indexs, again all indexs are added, namely calculative influence power parameter is obtained, these computational methods take into account the impact that Different factor may bring influence power parameter, calculate simple, fast, wherein, various addition algorithm can be preset in advance.This embodiment not only achieves how to calculate treats the calculating of the analysis of public opinion object in the influence power parameter of zones of different, and possible influencing factor is all counted, and improves the efficiency of the analysis of public opinion.
In one embodiment, as shown in Figure 5, the just negative attribute kit analyzing the sector event in step S107 draws together following steps:
Step S501: arrange front dictionary and negative dictionary in this locality in advance, judges whether described all videos report data comprise this front dictionary or negative dictionary;
Step S502: if only comprise front dictionary, do not comprise negative dictionary, be then defined as front by the positive negative attributes of the sector event;
Step S503: if only comprise negative dictionary, do not comprise front dictionary, be then defined as negative by the positive negative attributes of the sector event;
Step S504: if comprise front dictionary and negative dictionary simultaneously, be then defined as the maximum dictionary attribute of occurrence number by the positive negative attributes of the sector event.
This embodiment, to how determining that the positive negative attributes of industry event limits, first presets front dictionary and negative dictionary in this locality, whether comprise according to video report data the positive negative attributes that the sector event determined in corresponding dictionary.Those skilled in the art should understand, when only comprising front dictionary or negative dictionary, the positive negative attributes of the sector event can directly be defined as front or negative, if comprise front dictionary and negative dictionary simultaneously, then with the positive negative attributes of the maximum dictionary attribute determination the sector event of occurrence number.The positive negative attributes of industry event can be determined by the method for the present embodiment quickly and easily, improve operating efficiency, save the operating time.
Below by specific embodiment, the analysis of public opinion method based on television report that the embodiment of the present invention provides is described.
Fig. 6 is the flow chart of a kind of the analysis of public opinion method based on television report in the embodiment of the present invention, as shown in Figure 6, comprises the following steps S601-S617:
Step S601: gather video report data according to the keyword preset in the television report pickup area preset, and the video report quantity being recorded in zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
Step S602: according to the video report data of the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
Step S603: calculate the first influence power parameter in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
Step S604: calculate the second influence power parameter in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
Step S605: calculate the 3rd influence power parameter in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
Step S606: the keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset calculate the 4th influence power parameter;
Step S607: described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter are added, obtain the influence power parameter of this object in zones of different.
Step S608: according to the influence power parameter of the zones of different calculated, compares the influence power parameter of described zones of different and the influence power horizontal line preset;
Step S609: if the influence power parameter in certain region is lower than described influence power horizontal line, then increase the video report quantity of this region to described the analysis of public opinion object;
Step S610: if the influence power parameter in certain region is greater than or equal to described influence power horizontal line, then keep current video in this region to play quantity constant.
Step S611: when described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
Step S612: arrange front dictionary and negative dictionary in this locality in advance, judges whether described all videos report data comprise this front dictionary or negative dictionary;
Step S613: if only comprise front dictionary, do not comprise negative dictionary, be then defined as front by the positive negative attributes of the sector event;
Step S614: if only comprise negative dictionary, do not comprise front dictionary, be then defined as negative by the positive negative attributes of the sector event;
Step S615: if comprise front dictionary and negative dictionary simultaneously, be then defined as the maximum dictionary attribute of occurrence number by the positive negative attributes of the sector event.
Step S616: according to described all videos report data, the quantity of the video report data of different object in statistics the sector;
Step S617: when described industry event is front, then carry out rank to the influence power parameter of different object from high to low successively according to the quantity of the video report data of object different in the sector;
Step S618: when described industry event is negative, then carry out rank to the influence power parameter of different object from low to high successively according to the quantity of the video report data of object different in the sector.
Corresponding to a kind of the analysis of public opinion method based on television report that above-described embodiment provides, the embodiment of the present invention also provides a kind of the analysis of public opinion system based on television report, as shown in Figure 7, comprising:
Data acquisition module 71, for gathering video report data according to the keyword preset in the television report pickup area preset, and being recorded in the video report quantity of zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
Element factor calculation module 72, for the video report data according to the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
Parameter calculating module 73, for according to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculates the described influence power parameter of object in zones of different needing to carry out the analysis of public opinion.
Parameter comparison module 74, for the influence power parameter according to the zones of different calculated, compares the influence power parameter of described zones of different and the influence power horizontal line preset;
First Executive Module 75, if for the influence power parameter in certain region lower than described influence power horizontal line, then increases the video report quantity of this region to described the analysis of public opinion object;
Second Executive Module 76, if for the influence power parameter in certain region greater than or equal to described influence power horizontal line, then keeps current video in this region to play quantity constant.
Collection analysis module 77, for when described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
Data statistics module 78, for according to described all videos report data, adds up the quantity of the video report data of different object in the sector;
First ranking module 79, for when described industry event is front, then carries out rank to the influence power parameter of different object according to the quantity of the video report data of object different in the sector from high to low successively;
Second ranking module 80, during for being negative when described industry event, then carries out rank to the influence power parameter of different object according to the quantity of the video report data of object different in the sector from low to high successively.
In one embodiment, as shown in Figure 8, described parameter calculating module 73 comprises:
First calculating sub module 731, for calculating first influence power parameter in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
Second calculating sub module 732, for calculating second influence power parameter in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
3rd calculating sub module 733, for calculating three influence power parameter in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
4th calculating sub module 734, calculates the 4th influence power parameter for the keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset;
COMPREHENSIVE CALCULATING submodule 735, for described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter being added, obtains the influence power parameter of this object in zones of different.
In one embodiment, as shown in Figure 9, described collection analysis module 77 comprises:
Submodule 771 preset in dictionary, for arranging front dictionary and negative dictionary in this locality in advance, judges whether described all videos report data comprise this front dictionary or negative dictionary;
First determines submodule 772, if for only comprising front dictionary, do not comprise negative dictionary, then the positive negative attributes of the sector event is defined as front;
Second determines submodule 773, if for only comprising negative dictionary, do not comprise front dictionary, is then defined as negative by the positive negative attributes of the sector event;
3rd determines submodule 774, if for comprising front dictionary and negative dictionary simultaneously, then the positive negative attributes of the sector event is defined as the maximum dictionary attribute of occurrence number.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1., based on a analysis of public opinion method for television report, it is characterized in that, comprising:
In the television report pickup area preset, gather video report data according to the keyword preset, and be recorded in the video report quantity of zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
According to the video report data of the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
According to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculate the described influence power parameter of object in zones of different needing to carry out the analysis of public opinion.
2., as claimed in claim 1 based on the analysis of public opinion method of television report, it is characterized in that, also comprise:
According to the influence power parameter of the zones of different calculated, the influence power parameter of described zones of different and the influence power horizontal line preset are compared;
If the influence power parameter in certain region is lower than described influence power horizontal line, then increase the video report quantity of this region to described the analysis of public opinion object;
If the influence power parameter in certain region is greater than or equal to described influence power horizontal line, then current video in this region is kept to play quantity constant.
3., as claimed in claim 1 based on the analysis of public opinion method of television report, it is characterized in that, also comprise:
When described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
According to described all videos report data, the quantity of the video report data of different object in statistics the sector;
When described industry event is front, then successively rank is carried out to the influence power parameter of different object from high to low according to the quantity of the video report data of object different in the sector;
When described industry event is negative, then successively rank is carried out to the influence power parameter of different object from low to high according to the quantity of the video report data of object different in the sector.
4. as claimed in claim 1 based on the analysis of public opinion method of television report, it is characterized in that, described according to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculate the described object needing to carry out the analysis of public opinion and comprise in the influence power parameter of zones of different:
The first influence power parameter is calculated in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
The second influence power parameter is calculated in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
The 3rd influence power parameter is calculated in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
The keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset calculate the 4th influence power parameter;
Described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter are added, obtain the influence power parameter of this object in zones of different.
5., as claimed in claim 3 based on the analysis of public opinion method of television report, it is characterized in that, the just negative attribute kit of described analysis the sector event is drawn together:
Front dictionary and negative dictionary are set in this locality in advance, judge whether described all videos report data comprise this front dictionary or negative dictionary;
If only comprise front dictionary, do not comprise negative dictionary, then the positive negative attributes of the sector event is defined as front;
If only comprise negative dictionary, do not comprise front dictionary, then the positive negative attributes of the sector event is defined as negative;
If comprise front dictionary and negative dictionary simultaneously, then the positive negative attributes of the sector event is defined as the maximum dictionary attribute of occurrence number.
6., based on a analysis of public opinion system for television report, it is characterized in that, comprising:
Data acquisition module, for gathering video report data according to the keyword preset in the television report pickup area preset, and being recorded in the video report quantity of zones of different respectively, described keyword is and the keyword needing the object association carrying out the analysis of public opinion;
Element factor calculation module, for the video report data according to the zones of different collected, calculate the value of each video data the analysis of public opinion key element of described video report data, video data the analysis of public opinion key element comprises: video playback period, video playback duration, keyword occurrence number;
Parameter calculating module, for according to described video report quantity and the value of the video data the analysis of public opinion key element calculated, calculates the described influence power parameter of object in zones of different needing to carry out the analysis of public opinion.
7. the analysis of public opinion system of television report as claimed in claim 6, is characterized in that, also comprise:
Parameter comparison module, for the influence power parameter according to the zones of different calculated, compares the influence power parameter of described zones of different and the influence power horizontal line preset;
First Executive Module, if for the influence power parameter in certain region lower than described influence power horizontal line, then increases the video report quantity of this region to described the analysis of public opinion object;
Second Executive Module, if for the influence power parameter in certain region greater than or equal to described influence power horizontal line, then keeps current video in this region to play quantity constant.
8. the analysis of public opinion system of television report as claimed in claim 6, is characterized in that, also comprise:
Collection analysis module, for when described need the object place industry generation industry event carrying out the analysis of public opinion time, gather all videos report data of the sector event, and analyze the positive negative attributes of the sector event;
Data statistics module, for according to described all videos report data, adds up the quantity of the video report data of different object in the sector;
First ranking module, for when described industry event is front, then carries out rank to the influence power parameter of different object according to the quantity of the video report data of object different in the sector from high to low successively;
Second ranking module, during for being negative when described industry event, then carries out rank to the influence power parameter of different object according to the quantity of the video report data of object different in the sector from low to high successively.
9. the analysis of public opinion system of television report as claimed in claim 6, it is characterized in that, described parameter calculating module comprises:
First calculating sub module, for calculating first influence power parameter in the quantity of the video report data of zones of different with the video report quantity addition algorithm preset according to this object;
Second calculating sub module, for calculating second influence power parameter in the time period of the video report data playback of zones of different with the time period addition algorithm preset according to this object;
3rd calculating sub module, for calculating three influence power parameter in the playing duration of the video report data of zones of different with the duration addition algorithm preset according to this object;
4th calculating sub module, calculates the 4th influence power parameter for the keyword number of times occurred in the video report data of zones of different according to this object and the keyword number of times addition algorithm preset;
COMPREHENSIVE CALCULATING submodule, for described first influence power parameter, the second influence power parameter, the 3rd influence power parameter, the 4th influence power parameter being added, obtains the influence power parameter of this object in zones of different.
10., as claimed in claim 8 based on the analysis of public opinion system of television report, it is characterized in that, described collection analysis module comprises:
Submodule preset in dictionary, for arranging front dictionary and negative dictionary in this locality in advance, judges whether described all videos report data comprise this front dictionary or negative dictionary;
First determines submodule, if for only comprising front dictionary, do not comprise negative dictionary, then the positive negative attributes of the sector event is defined as front;
Second determines submodule, if for only comprising negative dictionary, do not comprise front dictionary, is then defined as negative by the positive negative attributes of the sector event;
3rd determines submodule, if for comprising front dictionary and negative dictionary simultaneously, then the positive negative attributes of the sector event is defined as the maximum dictionary attribute of occurrence number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510261420.XA CN104902292B (en) | 2015-05-20 | 2015-05-20 | A kind of the analysis of public opinion method and system based on television report |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510261420.XA CN104902292B (en) | 2015-05-20 | 2015-05-20 | A kind of the analysis of public opinion method and system based on television report |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104902292A true CN104902292A (en) | 2015-09-09 |
| CN104902292B CN104902292B (en) | 2017-10-03 |
Family
ID=54034643
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510261420.XA Expired - Fee Related CN104902292B (en) | 2015-05-20 | 2015-05-20 | A kind of the analysis of public opinion method and system based on television report |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104902292B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106095903A (en) * | 2016-06-08 | 2016-11-09 | 成都三零凯天通信实业有限公司 | A kind of radio and television the analysis of public opinion method and system based on degree of depth learning art |
| CN106658087A (en) * | 2016-09-23 | 2017-05-10 | 东软集团股份有限公司 | Method and device for calculating television station influence index based on new media |
| CN106951563A (en) * | 2017-04-01 | 2017-07-14 | 上海诺悦智能科技有限公司 | A kind of tourist hot spot event influence degree forecasting system |
| CN107402925A (en) * | 2016-05-19 | 2017-11-28 | 阿里巴巴集团控股有限公司 | Information-pushing method and device |
| CN108932291A (en) * | 2018-05-23 | 2018-12-04 | 福建亿榕信息技术有限公司 | Power grid public sentiment evaluation method, storage medium and computer |
| CN109213929A (en) * | 2018-07-26 | 2019-01-15 | 阿里巴巴集团控股有限公司 | Network public sentiment information processing method, device and server |
| CN111046264A (en) * | 2019-11-29 | 2020-04-21 | 江西省天轴通讯有限公司 | Public opinion cue processing method, system, readable storage medium and computer equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101814171A (en) * | 2009-02-24 | 2010-08-25 | 李晓萌 | Media-oriented network influence index calculation method |
| US20110289078A1 (en) * | 2010-05-21 | 2011-11-24 | Benjamin Woodard | Global reverse lookup public opinion directory |
| CN103186663A (en) * | 2012-12-28 | 2013-07-03 | 中联竞成（北京）科技有限公司 | Video-based online public opinion monitoring method and system |
| CN104202623A (en) * | 2014-08-04 | 2014-12-10 | 杜泽壮 | All media transmission index statistical method and device |
| CN104408157A (en) * | 2014-12-05 | 2015-03-11 | 四川诚品电子商务有限公司 | Funnel type data gathering, analyzing and pushing system and method for online public opinion |
| CN104504081A (en) * | 2014-12-25 | 2015-04-08 | 北京东方剪报国际信息咨询有限公司 | Intelligent analysis system for all-media detection and monitoring big data behaviors |
| CN104516983A (en) * | 2015-01-08 | 2015-04-15 | 龙思薇 | Data display method |
-
2015
- 2015-05-20 CN CN201510261420.XA patent/CN104902292B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101814171A (en) * | 2009-02-24 | 2010-08-25 | 李晓萌 | Media-oriented network influence index calculation method |
| US20110289078A1 (en) * | 2010-05-21 | 2011-11-24 | Benjamin Woodard | Global reverse lookup public opinion directory |
| CN103186663A (en) * | 2012-12-28 | 2013-07-03 | 中联竞成（北京）科技有限公司 | Video-based online public opinion monitoring method and system |
| CN104202623A (en) * | 2014-08-04 | 2014-12-10 | 杜泽壮 | All media transmission index statistical method and device |
| CN104408157A (en) * | 2014-12-05 | 2015-03-11 | 四川诚品电子商务有限公司 | Funnel type data gathering, analyzing and pushing system and method for online public opinion |
| CN104504081A (en) * | 2014-12-25 | 2015-04-08 | 北京东方剪报国际信息咨询有限公司 | Intelligent analysis system for all-media detection and monitoring big data behaviors |
| CN104516983A (en) * | 2015-01-08 | 2015-04-15 | 龙思薇 | Data display method |
Non-Patent Citations (1)
| Title |
|---|
| 宋金宝: "广播电视舆情分析研究", 《中国传媒大学学报自然科学版》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107402925A (en) * | 2016-05-19 | 2017-11-28 | 阿里巴巴集团控股有限公司 | Information-pushing method and device |
| CN107402925B (en) * | 2016-05-19 | 2020-11-20 | 创新先进技术有限公司 | Information pushing method and device |
| CN106095903A (en) * | 2016-06-08 | 2016-11-09 | 成都三零凯天通信实业有限公司 | A kind of radio and television the analysis of public opinion method and system based on degree of depth learning art |
| CN106658087A (en) * | 2016-09-23 | 2017-05-10 | 东软集团股份有限公司 | Method and device for calculating television station influence index based on new media |
| CN106951563A (en) * | 2017-04-01 | 2017-07-14 | 上海诺悦智能科技有限公司 | A kind of tourist hot spot event influence degree forecasting system |
| CN108932291A (en) * | 2018-05-23 | 2018-12-04 | 福建亿榕信息技术有限公司 | Power grid public sentiment evaluation method, storage medium and computer |
| CN108932291B (en) * | 2018-05-23 | 2022-08-23 | 福建亿榕信息技术有限公司 | Power grid public opinion evaluation method, storage medium and computer |
| CN109213929A (en) * | 2018-07-26 | 2019-01-15 | 阿里巴巴集团控股有限公司 | Network public sentiment information processing method, device and server |
| CN111046264A (en) * | 2019-11-29 | 2020-04-21 | 江西省天轴通讯有限公司 | Public opinion cue processing method, system, readable storage medium and computer equipment |
| CN111046264B (en) * | 2019-11-29 | 2023-07-21 | 江西省天轴通讯有限公司 | Public opinion cue processing method, system, readable storage medium and computer device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104902292B (en) | 2017-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104902292A (en) | Television report-based public opinion analysis method and system | |
| CN106454431B (en) | TV programme suggesting method and system | |
| EP3117347B1 (en) | Systems and methods for rapid data analysis | |
| US8869205B2 (en) | Method and system for video collection management, invalid video replacement and continuous video replay | |
| CN109408639B (en) | Bullet screen classification method, bullet screen classification device, bullet screen classification equipment and storage medium | |
| CN105389590B (en) | Video clustering recommendation method and device | |
| CN104869439A (en) | Video push method and device | |
| US20140222831A1 (en) | Method and system for personalized delivery of media content | |
| CN102880712A (en) | Method and system for sequencing searched network videos | |
| US10863242B1 (en) | Systems and methods for generating a playback timeline | |
| EP3690674A1 (en) | Method for recommending video content | |
| JP6280323B2 (en) | Moving picture analysis apparatus, method, and computer-readable recording medium using captured image | |
| CN104915403B (en) | A kind of information processing method and server | |
| CN106294785A (en) | Content Selection method and system | |
| CN109933691B (en) | Method, apparatus, device and storage medium for content retrieval | |
| CN104965903A (en) | Resource recommendation method and apparatus | |
| CN104581224A (en) | Play content switching method and device and terminal | |
| CN106604068A (en) | Method and system for updating media program | |
| US7856460B2 (en) | Device, method, and computer program product for structuring digital-content program | |
| CN111125158B (en) | Data table processing method, device, medium and electronic equipment | |
| CN112035534A (en) | Real-time big data processing method and device and electronic equipment | |
| CN112804566A (en) | Program recommendation method, device and computer readable storage medium | |
| CN106844683B (en) | Information sharing method and device | |
| CN104284217A (en) | Network rating statistical method and device | |
| CN104410873A (en) | Method and device of detecting number of television channel users |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A method and system of public opinion analysis based on TV report Effective date of registration: 20210104 Granted publication date: 20171003 Pledgee: Inner Mongolia Huipu Energy Co.,Ltd. Pledgor: WUXI TVMINING MEDIA SCIENCE & TECHNOLOGY Co.,Ltd. Registration number: Y2020990001517 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20171003 Termination date: 20210520 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |