CN104516983A - Data display method - Google Patents
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- CN104516983A CN104516983A CN201510009175.3A CN201510009175A CN104516983A CN 104516983 A CN104516983 A CN 104516983A CN 201510009175 A CN201510009175 A CN 201510009175A CN 104516983 A CN104516983 A CN 104516983A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/738—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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Abstract
The invention discloses a data display method, relates to the field of data processing, and is invented for solving the problem that the value of a video cannot be objectively evaluated in the prior art. According to the technical scheme of the data display method disclosed by the invention, the data display method comprises the following steps: S10, determining the name and evaluation type of a video to be evaluated according to an instruction input by a user; S20, acquiring corresponding data from a pre-connected database according to the name and evaluation type of the video; S30, performing data mining on the data to obtain useful data; S40, obtaining a mathematical model corresponding to the evaluation type from a preset model library, and analyzing the useful data through the mathematical model to obtain a data quantitative index corresponding to the evaluation type; S50, displaying the data quantitative index. Due to the adoption of the scheme, the data display method can be applied to the fields of video evaluation, bidding and the like.
Description
Technical field
The present invention relates to data processing field, particularly relate to a kind of method for exhibiting data.
Background technology
Along with the development of internet, the movie and television contents such as video are by a large amount of making.In prior art, for obtaining abundant market reward, professional person is needed to predict the value of video, assess before video production.
But prediction, the assessment of professional rely on its industry experience greatly, have very large subjectivity and contingency, can not assess the value of video objectively.
Summary of the invention
The invention provides a kind of method for exhibiting data, user can be made objectively to assess the value of video according to its content of showing.
Technical solution problem of the present invention adopts following technical scheme: a kind of method for exhibiting data, comprising: S10, the title determining video to be assessed according to the instruction of user's input and assessment kind; S20, from the database be connected in advance, gather corresponding data according to described title and assessment kind; S30, data mining is carried out to described data, obtain useful data; S40, from preset model storehouse, obtain mathematical model corresponding to described assessment kind, and by described mathematical model, described useful data is analyzed, obtain the data quantizating index that described assessment kind is corresponding; S50, show described data quantizating index.
Optionally, assess kind described in the method for exhibiting data that the present embodiment provides, comprising: broadcast front forecast assessment or broadcast rear comprehensive assessment;
Describedly broadcast front forecast assessment, comprising: investment appraisal, produce assessment, sell assessment, buy in assessment and marketing assessment one or more;
Describedly broadcast rear comprehensive assessment, comprising: one or more in full medium audience assessment, full broadcasting media force estimation, full media public sentiment assessment, user's online evaluation and analyst's online evaluation.
Optionally, the database connected in advance described in the method for exhibiting data that the present embodiment provides, comprising:
User behavior storehouse, news media storehouse, video website storehouse, storehouse, electric business website, social media storehouse, medium audience storehouse, analyst assesses storehouse and user assesses storehouse.
Optionally, S30 described in the method for exhibiting data that the present embodiment provides, comprising: S301, process described data according to preset rules, removes noise data, obtains clean data; S302, data mining is carried out to described clean data, obtain useful data; Described data mining comprise in keyword abstraction, sentiment classification and regularization one or more.
Optionally, preset rules described in the method for exhibiting data that the present embodiment provides, comprising: data integrity, data are correct, data do not repeat and one or more of data consistent.
Optionally, preset model storehouse described in the method for exhibiting data that the present embodiment provides, comprising: Clustering Model, semantic analysis model, hot word analytical model, Factor Analysis Model, index analysis model and interaction analysis model.
Optionally, S50 described in the method for exhibiting data that the present embodiment provides, comprising: show described data quantizating index with the form of word, data sheet or multi-dimensional graphic image.
Optionally, the method for exhibiting data that the present embodiment provides, also comprises: when S60, described assessment kind are for broadcasting front forecast assessment, obtain the actual propagation data of video to be assessed; S70, according to described actual propagation data, described data quantizating index to be verified.
The present invention has following beneficial effect: carry out after excavation obtains useful data to the data of instruction correspondence of user's input, by the mathematical model in preset model storehouse, useful data is analyzed, thus obtain data quantizating index and show, thus realize the displaying of data.Due to said process be according to user input instruction correspondence video title and assessment kind carry out, the technical scheme that the embodiment of the present invention is provided makes user objectively assess the value of video according to its content of showing; Solve the prediction of professional in prior art, assessment relies on its industry experience greatly, there is very large subjectivity and contingency, can not objectively to the problem that the value of video is assessed.
Accompanying drawing explanation
The process flow diagram of the method for exhibiting data that Fig. 1 provides for the embodiment of the present invention 1;
The process flow diagram of the method for exhibiting data that Fig. 2 provides for the embodiment of the present invention 2.
Embodiment
Below in conjunction with embodiment and accompanying drawing, technical scheme of the present invention is further elaborated.
Embodiment 1
As shown in Figure 1, present embodiments provide a kind of method for exhibiting data, comprising:
Step 101, determines title and the assessment kind of video to be assessed according to the instruction of user's input.
In the present embodiment, the instruction of user's input in step 101, can input in the mode of word, form is as carried out XX assessment etc. to XX video; Also can be that this is not restricted in predeterminated position input.
In the present embodiment, assess kind in step 101 to comprise and broadcast front forecast assessment or broadcast rear comprehensive assessment; Wherein, broadcast front forecast assessment, comprising: investment appraisal, produce assessment, sell assessment, buy assessment and marketing assessment in one or more; Broadcast rear comprehensive assessment, comprising: one or more in full medium audience assessment, full broadcasting media force estimation, full media public sentiment assessment, user's online evaluation and analyst's online evaluation.
In the present embodiment, the index of full medium audience assessment comprises live telecast rating, video on demand rating and Internet video click; The index of full broadcasting media force estimation comprises TV media, the network media, paper media and professional media; The assessment of full media public sentiment index comprises user social contact internet public feelings, media report public sentiment, user comments on public sentiment online and analyst comments on public sentiment online; The index of user's online evaluation comprises preference degree, sticky limit, recommendation degree, user's keyword and user and comments on online; The index of analyst's online evaluation comprise make assessment, art assessment, team assessment, investment appraisal, analyst's keyword, analyst comment on and analyst's recommendation on improvement online.
Step 102, gathers corresponding data according to this title with assessment kind from the database be connected in advance.
In the present embodiment, step 102 can gather corresponding data according to video name with assessment kind from all databases be connected in advance, also can gather corresponding data with assessment kind according to video name from the database that part is connected in advance, this is not restricted.Wherein, the database connected in advance comprises: user behavior storehouse, news media storehouse, video website storehouse, storehouse, electric business website, social media storehouse, medium audience storehouse, analyst assesses storehouse and user assesses storehouse.
In the present embodiment, can from information such as the focus of the Domestic News of news media's storehouse acquisition video, advance notice, user, also real-time public feelings information can be obtained from social media storehouse, also the viewership information such as TV, Internet video can be obtained from medium audience storehouse, storehouse and user can also be assessed from analyst and assess evaluation, the improvement information that storehouse obtains video, the information such as the login of the essential information of user and user, click, concern, product trading and demand can also be obtained from user behavior storehouse.
Step 103, excavates these data, obtains useful data.
In the present embodiment, after gathered corresponding data by step 102, directly data mining can be carried out by step 103.For preventing the interference of noise data, this step 103 can comprise: first process data according to preset rules, removes noise data, obtains clean data; Then data mining is carried out to clean data, obtain useful data.Wherein, preset rules, comprising: data integrity, data are correct, data do not repeat and one or more in data consistent; Data mining comprise in keyword abstraction, sentiment classification and regularization one or more, different data mining modes can be adopted for different assessment kinds.
In the present embodiment, by above-mentioned preset rules, filter analysis teacher can assess storehouse and user and assess invalid questionnaire in storehouse; The data that also can obtain all kinds of source are carried out duplicate removal, are filtered the operations such as insignificant character; Can also check the consistance of data.
Step 104, is obtained the mathematical model that this assessment kind is corresponding, and is analyzed useful data by mathematical model from preset model storehouse, obtains assessing data quantizating index corresponding to kind.
In the present embodiment, in step 104, preset model storehouse comprises Clustering Model, semantic analysis model, hot word analytical model, Factor Analysis Model, index analysis model and interaction analysis model.
Step 105, shows this data quantizating index.
In the present embodiment, step 105 can show this data quantizating index with the form of word, data sheet or multi-dimensional graphic image, and also can otherwise show, this is no longer going to repeat them.Step 105 can only display data quantizating index in the above described manner, and use for the convenience of the user, can also show video to be assessed and/or displaying process, this is not restricted simultaneously.
In the present embodiment, the data quantizating index shown by step 105 can be user's content recommendation product, also can realize bidding, and user can also be helped to carry out trade decision or its market of overall view and trend.
Example is evaluated as to broadcast full medium audience in rear comprehensive assessment to program A, obtain the data such as the TV audience rating of this program A, website audience ratings, can be excavated these data by statistical analysis technique, the useful datas such as audience ratings, occupation rate, arrival rate, repetition rate, visit capacity, arrival customer volume, arrival rate, service time, Internet video playback volume, playing duration, channel weight, weight of website, platform weight, content type weight, content playback time power can be obtained; By mathematical model such as the sorter models such as LogisticRegression, SVM of correspondence, above-mentioned useful data is analyzed, obtain full medium audience index, television program receiving index, network video-on-demand index, point praises index, point steps on index, digital television on-demand reviews index, the data quantizating index such as index are reviewed in IPTV program request.
Concrete, for television program receiving index, can be different according to program, be the types such as select-elite, interview, competitive sports, juvenile, music, education, health, tourism, documentary film by program partition.For dissimilar program, preset different index ranges; As to select-elite, competitive sports class program, the corresponding rating index 80 of its audience ratings 1.0; To other types program, the corresponding rating index 80 of audience ratings 0.4.
For network video-on-demand index, can the mapping identical with audience ratings be carried out, should by program request amount and program request exponent pair; The retention on year-on-year basis simultaneously calculating its program request (have viewed the spectators of front first phase program, proportion in the user of the current program of viewing), accumulation retains the (user of any first phase program before have viewed, proportion in the current program user of viewing), the situation of change of program request every day quantity, in order to the long lasting effect power of the loyalty and program of weighing spectators, as the important indicator that index calculates.
To broadcast full broadcasting media force estimation in rear comprehensive assessment to program A, obtain the propagation condition data of each media of this program A, can be excavated these data by statistical analysis technique, can obtain the weight of publication medium, field of media, the influence power of media, quantity of releasing news, reprint quantity, number of reviews, point praise quantity, the attributes of news of issue, issuing time, impact the useful data such as regional extent, sales volume, evaluation star, the keyword of report, the tendentiousness of report; By mathematical model such as the sorter models such as Logistic Regression, SVM of correspondence, above-mentioned useful data is analyzed, obtain full broadcasting media index, TV broadcast index, Internet communication index, paper media's spread index, professional media spread index, electric business's spread index, and the data such as public sentiment, semantic analysis result quantizating index.
For broadcasting media power, can be different according to medium property, give different weight to different media, reflect with this impact that program obtains in media report; Weight as TV media is 3, and the weight of the network media and paper media is 2, and professional media and electric business's media are weights is 1.Can be divided by the positive negative sense of semantic analysis to report, forward index is given in front, negative then imparting negative sense index.
Example is evaluated as to broadcast full media public sentiment in rear comprehensive assessment to program A, obtain the comment data such as the social media of this program A, video website, can be excavated these data by statistical analysis technique, can obtain issuing number, forward quantity, number of reviews, point praise quantity, point steps on quantity, comment on the useful datas such as content, keyword, emotion tendency; By mathematical model such as the sequence labelling model etc. based on condition random field of correspondence, above-mentioned useful data is analyzed, obtain the data quantizating index such as social media public sentiment temperature index, social media public sentiment tendentiousness, video website comment temperature index, video website public sentiment tendentiousness.
For social media public sentiment temperature index in full media public sentiment, be that the public sentiment number (through duplicate removal, forwarding, comment, point are praised and counted) of comprehensive program related content calculates; Social media public sentiment tendentiousness is then through text analyzing, determines the positive negative sense that every bar is discussed, and draws aggregative index; Video website comment temperature is then add up video website comment number, the some amount of praising, the some amount of stepping on.
To broadcast user's online evaluation (questionnaire investigation system) in rear comprehensive assessment to program A, this system selects sample from city at different levels, build Sample Storehouse, contain all ages and classes, sex, the crowd of educational background carries out questionnaire investigation, obtain user's assessment data of this program A, can excavate these data, preference degree scoring can be obtained, degree of sticking together is marked, recommendatory scoring, weight, geographic area, sex, state of occupation, the interaction analysis at age and weighting, statistic, mean value, mxm., minimum, median, keyword word frequency, semantic analysis, the useful datas such as tendentiousness judgement, by analyzing above-mentioned useful data, obtain preference degree index, degree of sticking together index, the recommendation degree index of user to this program, and the data such as keyword and sentiment classification quantizating index.Due to the corresponding problem of above-mentioned data quantizating index can be designed in questionnaire, therefore directly can analyze questionnaire answer and obtain corresponding data quantizating index.
To broadcast analyst's online evaluation (questionnaire investigation system) in rear comprehensive assessment to program A, this system contains the analyst of ten types, design different questionnaires to investigate, obtain analyst's assessment data of this program A, by excavating these data, can obtain visual indicator, sound equipment index, animation index, subject matter index, planning index, intention index, describe gimmick, director's index, making the useful datas such as index, performer's index, the market demand, marketing power, product return rate, keyword, tendentiousness, the analysis of public opinion; By analyzing the above-mentioned useful data of reply, obtain performance figure, team index, the artistic index of analyst to this program, investment buying index, keyword and sentiment classification and quantizating index such as data such as comment details and recommendation on improvement etc.Due to the corresponding problem of above-mentioned data quantizating index can be designed in questionnaire, therefore directly can analyze questionnaire answer and obtain corresponding data quantizating index.
The present invention has following beneficial effect: carry out after excavation obtains useful data to the data of instruction correspondence of user's input, by the mathematical model in preset model storehouse, useful data is analyzed, thus obtain data quantizating index and show, thus realize the displaying of data.Due to said process be according to user input instruction correspondence video title and assessment kind carry out, the technical scheme that the embodiment of the present invention is provided makes user objectively assess the value of video according to its content of showing; Solve the prediction of professional in prior art, assessment relies on its industry experience greatly, there is very large subjectivity and contingency, can not objectively to the problem that the value of video is assessed.
Embodiment 2
As shown in Figure 2, the method for exhibiting data that the embodiment of the present invention provides, similar shown in the method to Fig. 1, difference is, also comprises:
Step 106, when this assessment kind is for broadcasting front forecast assessment, obtains the actual propagation data of video to be assessed.
Step 107, verifies data quantizating index according to these actual propagation data.
In the present embodiment, by said process, can verify data quantizating index, make the data quantizating index of prediction depart from reality far away time, mathematical model is optimized, improve data quantize accuracy rate.
The present invention has following beneficial effect: carry out after excavation obtains useful data to the data of instruction correspondence of user's input, by the mathematical model in preset model storehouse, useful data is analyzed, thus obtain data quantizating index and show, thus realize the displaying of data.Due to said process be according to user input instruction correspondence video title and assessment kind carry out, the technical scheme that the embodiment of the present invention is provided makes user objectively assess the value of video according to its content of showing; Solve the prediction of professional in prior art, assessment relies on its industry experience greatly, there is very large subjectivity and contingency, can not objectively to the problem that the value of video is assessed.
The sequencing of above embodiment, only for ease of describing, does not represent the quality of embodiment.
Last it is noted that above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (8)
1. a method for exhibiting data, is characterized in that, comprising:
S10, the title determining video to be assessed according to the instruction of user's input and assessment kind;
S20, from the database be connected in advance, gather corresponding data according to described title and assessment kind;
S30, data mining is carried out to described data, obtain useful data;
S40, from preset model storehouse, obtain mathematical model corresponding to described assessment kind, and by described mathematical model, described useful data is analyzed, obtain the data quantizating index that described assessment kind is corresponding;
S50, show described data quantizating index.
2. method for exhibiting data according to claim 1, is characterized in that, described assessment kind, comprising:
Broadcast front forecast assessment or broadcast rear comprehensive assessment;
Describedly broadcast front forecast assessment, comprising: investment appraisal, produce assessment, sell assessment, buy in assessment and marketing assessment one or more;
Describedly broadcast rear comprehensive assessment, comprising: one or more in full medium audience assessment, full broadcasting media force estimation, full media public sentiment assessment, user's online evaluation and analyst's online evaluation.
3. method for exhibiting data according to claim 1 and 2, is characterized in that, the described database connected in advance, comprising:
User behavior storehouse, news media storehouse, video website storehouse, storehouse, electric business website, social media storehouse, medium audience storehouse, analyst assesses storehouse and user assesses storehouse.
4. method for exhibiting data according to claim 1 and 2, is characterized in that, described S30, comprising:
S301, according to preset rules, described data to be processed, remove noise data, obtain clean data;
S302, data mining is carried out to described clean data, obtain useful data;
Described data mining comprise in keyword abstraction, sentiment classification and regularization one or more.
5. method for exhibiting data according to claim 4, is characterized in that, described preset rules, comprising:
Data integrity, data are correct, data do not repeat and one or more of data consistent.
6. method for exhibiting data according to claim 1 and 2, is characterized in that, described preset model storehouse, comprising:
Clustering Model, semantic analysis model, hot word analytical model, Factor Analysis Model, index analysis model and interaction analysis model.
7. method for exhibiting data according to claim 1 and 2, is characterized in that, described S50, comprising:
Described data quantizating index is shown with the form of word, data sheet or multi-dimensional graphic image.
8. method for exhibiting data according to claim 2, is characterized in that, also comprises:
When S60, described assessment kind are for broadcasting front forecast assessment, obtain the actual propagation data of video to be assessed;
S70, according to described actual propagation data, described data quantizating index to be verified.
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| CN106934034A (en) * | 2017-03-14 | 2017-07-07 | 杭州火剧科技有限公司 | The method and server of analysis films and television programs distribution feature |
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