KR101322650B1 - System and method for analyzing attribute of object and media that can record computer program sources for method the same - Google Patents

Abstract

The present invention relates to a system and method for analyzing an attribute of an object to be analyzed, and to a recording medium storing a computer program for the method, comprising: a plurality of panel terminals for evaluating attributes for an object to be evaluated provided in the form of words or images; Providing an attribute analysis word for the attribute evaluation for the property, characterized in that it comprises a property analysis server for analyzing the property of the object according to the evaluation result of the panel and a client terminal for checking the property evaluation result for the analyzed object A system and method for analyzing attributes of an object to be analyzed and a recording medium storing a computer program for the method are provided.

Description

SYSTEM AND METHOD FOR ANALYZING ATTRIBUTE OF OBJECT AND MEDIA THAT CAN RECORD COMPUTER PROGRAM SOURCES FOR METHOD THE SAME}

The present invention relates to a system and method for analyzing an attribute of an object to be analyzed, and a recording medium storing a computer program for the method. The present invention relates to a property of a word or an image in a multi-dimensional manner, so that an image for each attribute of an object felt by a consumer can be identified. The present invention relates to an attribute analysis system and method for an analysis target, and a recording medium storing a computer program for the method.

Companies in modern society are implementing various strategies to secure the competitiveness of their products. In particular, the advertising marketing strategy focuses on informing the consumer of the attribute image of the product. Recently, through advertising marketing, it is known that it is a product that meets the mental and psychological needs of consumers.

This is called emotional marketing, and in the case of such emotional marketing, an analysis should be conducted in accordance with the mental and psychological needs of consumers, and the human emotion should be quantitatively and qualitatively measured. In addition, the measured results can be scientifically analyzed and applied to the object of emotional engineering measurement.

The trend of modern consumption is not only changing the primary physical and material satisfaction of products but also the tendency to think about the emotions, satisfaction, and emotions that consumers feel by consuming and using products. Accordingly, researches related to emotional engineering have been conducted in various ways in developed countries such as the United States and Japan, and large Korean companies have also set up an emotional engineering research organization for emotional design, and have developed technology for emotional measurement in the long term. Coming.

In order to find such a measure of emotion, that is, an attribute image of a product that a consumer feels, there is a limit to the existing direct and surface question-and-answer form of question and answer.

An object of the present invention is to analyze the property of the analysis target to derive a marketing strategy by providing a solution that allows the participant to evaluate the degree of the attributes of the target in order to solve this problem, and to derive marketing strategies and A method and a recording medium storing a computer program for the method are provided.

It is also an object of the present invention to provide an attribute analysis system and method for analyzing an object to measure the clarity of the connection between the object and the property through the attribute score and response time, and a recording medium storing a computer program for the method. .

In addition, an object of the present invention is an attribute analysis system and method and method for analyzing an object that can derive insights on media advertisements by extracting other objects (eg entertainers or animals) similar to the information on the property of the object. A recording medium storing a computer program is provided.

Providing a plurality of panel terminals for evaluating attributes for the evaluation target provided in the form of words or images according to the present invention, and attribute analysis words for evaluating the attributes of the target, and the attributes for the target according to the evaluation result of the panel. It provides a property analysis system of the analysis target, characterized in that it comprises a property analysis server for analyzing the and a client terminal for checking the property evaluation results for the analyzed object.

The attribute analysis server may include a word storage unit storing attribute analysis word pairs, a word providing unit providing object information and attribute analysis word pair information to a panel terminal, and a user evaluation (decision) result and response time information through the panel terminal. An evaluation result receiving unit for receiving and storing the property, an attribute analysis unit for analyzing the attributes and emotions of the object using the evaluation result, an attribute database for storing the attribute results for the object, and processing the request of the client terminal And a request processing unit.

The word storage unit stores 54 attribute analysis word pairs, the attribute analysis unit analyzes the primary attributes of the object using the evaluation result, and derives 45 secondary attributes using the primary analysis result, 99 Characteristic analysis is performed.

The secondary attribute is characterized in that the sum of the attribute score of the elements divided by the number of elements.

The attribute analysis server may further include: a time adder configured to measure clarity of the attribute connection by using response time information of the user; and an object comparator configured to extract and provide another object having an attribute similar to one object in the attribute database; And a compensation unit configured to compensate the user of the panel terminal.

The compensation unit compares the attribute score with other respondents and performs a higher reward as the score is similar.

In addition, providing the evaluator according to the present invention the attribute analysis word information and the target information for analysis, receiving the evaluation result and input time information of the attribute analysis word for the object by the evaluator, and the evaluation result Analyzing primary and secondary attributes of the target object, storing attribute information about the analyzed target object, additionally storing the stored attribute information in the previously stored information, and providing attribute information of the target object to the client. It provides a property analysis method of the analysis target, characterized in that it comprises.

The analyzing of the attributes may include analyzing 54 primary attributes using the input evaluation result and analyzing 45 secondary attributes using the primary attribute analysis result.

A computer program stored in the computer program for the property analysis method of the analysis object characterized by storing a computer program according to the property analysis method of the analysis object according to any one of claims 1 to 7. Provide the medium.

In this manner, the present invention can derive a marketing strategy by providing a solution that allows the participants to evaluate the degree of the attributes of the object to embody the object's attributes.

Attribute scores and response times can also measure the clarity of linking objects to attributes.

In addition, it is possible to derive insight into media advertisements by extracting other objects (for example, entertainers or animals) similar to the information on the attributes of the objects.

In addition, because the standardized questionnaire is prepared in advance, databased and stored, longitudinal comparison is possible.

1 is a block diagram of an attribute analysis system of an analysis target according to an embodiment of the present invention.
2 is a block diagram of an attribution analysis server according to an embodiment.
3 is a screen provided for attribute analysis of a target of an attribute analysis server according to an embodiment.
4 illustrates an attribute analysis result according to an exemplary embodiment.
5 is a flowchart illustrating an attribute analysis method of an analysis target, according to an exemplary embodiment.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. It will be apparent to those skilled in the art that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, It is provided to let you know. Wherein like reference numerals refer to like elements throughout.

It is to be clarified that the division of components in this specification is merely a division by main function which each component is responsible for. That is, two or more constituent parts to be described below may be combined into one constituent part, or one constituent part may be divided into two or more functions according to functions that are more subdivided. In addition, each of the constituent units described below may additionally perform some or all of the functions of other constituent units in addition to the main functions of the constituent units themselves, and that some of the main functions, And may be carried out in a dedicated manner. Accordingly, the presence or absence of each component described in this specification should be interpreted as a function. For this reason, it is evident that the configuration of the system and method for attribute analysis of words or images of the present invention and the components of the recording medium storing the computer program for the method may be different to the extent that the object of the present invention can be achieved. Reveal.

1 is a block diagram of an attribute analysis system of an analysis target according to an embodiment of the present invention. 2 is a block diagram of an attribute analysis server according to an exemplary embodiment. 3 is a screen provided for attribute analysis of a target of an attribute analysis server, according to an exemplary embodiment. 4 is a diagram for describing a result of attribute analysis, according to an exemplary embodiment.

As shown in FIG. 1 and FIG. 2, the attribute analysis system according to the present embodiment includes a plurality of panel terminals 100 for evaluating attributes of an object provided in the form of a word or an image through a network, and an attribute evaluation of the object. Providing an attribute analysis word for, the attribute analysis server 200 for analyzing the attribute of the object according to the evaluation result of the panel, and a client terminal 300 for checking the attribute evaluation result for the analyzed object.

The panel terminal 100 provides a user with an attribute analysis word pair for an object provided through a wired or wireless network. Then, the attribute evaluation result for the object evaluated by the user is provided to the attribute analysis server 200.

Various types of terminals capable of wired and wireless communication may be used as the panel terminal 100. For example, a PC, a notebook, a mobile terminal (smartphone, PDA, etc.) may be used.

As shown in FIG. 2, the attribute analysis server 200 may include a word storage unit 210 in which attribute analysis word pairs and secondary attribute element information are stored, and a word system for providing target information and attribute analysis word pair information to a panel terminal. Study 220, an evaluation result receiving unit 230 that receives and stores the evaluation (determination) result and response time information of the user through the panel terminal, and an attribute analysis analyzing the attributes and emotions of the object using the evaluation result The unit 240, a time adder 250 for measuring clarity of the attribute connection using the response time information of the user, an attribute database 260 for storing attribute results for objects, and the attribute data An object comparator 270 that extracts and provides another object having attributes similar to one object in the base 260, a compensator 280 that compensates a user of the panel terminal, and a request of a client terminal The request processing unit 290 for processing.

The attribute analysis server 200 according to the present embodiment provides an attribute analysis word for an object to a user of the panel terminal 100 connected through a network, evaluates the attribute for the object, and uses the evaluation result to calculate a marketing strategy. To be able to derive.

In this case, the object may include a product (product), a brand, a multimedia work (movie, etc.), a literary work, a person, an animal, a design. Of course, a variety of tangible and intangible objects that can be displayed as words or video images may be selected as objects.

The word storage unit 210 stores attribute analysis words for evaluating and analyzing the attributes of the object. Preferably, the words stored by the present embodiment are effectively words having about 50 attributes each.

Preferably, in this embodiment, it is effective to have 54 attribute analysis words.

Here, 54 attribute analysis words are shown in Table 1 below.

Masculine / feminine Luxurious /
Low Trust
Distrust Short term /
Long-term crudity/
soft dry/
humid Emotional / reasonable great/
Inferior Smart/
stupid increase/
Fall It is hard/
Soften bright/
dark Functional / aesthetic Dynamic /
Is static Specific
Abstract lovely/
I'm disappointed. pain/
comfortable close/
far White /
Black Positive/
Negative Is a verb
Be a noun I feel fear / happy salty/
Fresh live/
Dead normal/
Unusual Big/
small Ambiguous /
Obvious Overestimation /
Underestimation Sweet/
write Korean /
Exotic It is up-to-date / old-fashioned Unstable/
Stable Abundant /
Lack Relative /
Absolute spicy/
greasy Interested/
be not interested in Good /
Evil happy/
sad Satisfied /
Dissatisfied to occur/
Extinguish noisy/
its sillent Likes/
Dislike (Me) relevant / not relevant I know well
/I do not know Qualitative /
Quantitative Anger /
Rest assured high/
low beautiful/
Ugly strong/
weak Independent /
Associated simple/
Complex hot/
cold Sue/
Squeak skillful/
Poor

The word provider 220 sequentially provides the object related information and the attribute analysis word to the panel terminal 100. As shown in FIG. 3, the object related information may be a word indicating a name of the object or an image photograph indicating the object. Of course, the present invention is not limited thereto, and everything that can express the object to be evaluated is possible.

In addition, the word provider 220 provides an attribute analysis word, and also provides evaluation score information on the word to obtain an evaluation value for the attribute analysis word. At this time, the evaluation score information may be a value expressed as a percentage (%) of the feeling of the evaluator (user) for the two words (ie, word pairs) provided. Of course, the present invention is not limited thereto and may be expressed as a score capable of scoring 1 to 100 points. In addition, it may be possible to represent up to -100 to 100.

The evaluation result receiving unit 230 receives and stores the evaluation result for the object evaluated by the evaluator.

At this time, 71% closer to the concept that the property evaluation result of the evaluator for the spider is more beautiful than that shown in FIG. In this case, the provided value is 29% information that is beautiful, and 71% information that is ugly may be provided. Of course, the information provided at this time may be represented by various types of values. For example, beautiful can be -100 and ugly can be +71.

Such information is received by the evaluation result receiver 230 and stored in a separate storage means. Of course, various types of evaluation results may be provided according to evaluation score information provided by the word provider 220 mentioned above. In this case, 54 evaluation results are provided and stored. Of course, the 54 evaluation results may be reduced or increased according to the customer's request by default. At this time, the expansion of the evaluation result can be secured by providing additional attribute analysis words.

Here, the evaluation result receiver 230 is also provided with response time information on the one evaluation screen. For example, after FIG. 3 is provided, time information required to complete the evaluation of the target (spider) is provided. In this case, the time information is preferably provided with time information in milliseconds.

The attribute analyzer 240 performs the first evaluation on 54 dimensions according to the evaluation result, and derives about 45 secondary attributes using the result of the first evaluation. Through this, a total of 99 dimensions are analyzed.

The 45 secondary attributes are shown in Table 2 below.

The attribute analyzer 240 analyzes the secondary attributes of the object by combining the evaluation results stored through the evaluation result receiver 230.

It is possible to score new attributes through attribute scores for the target. In other words, it is possible to score new attributes such as global competitiveness, potential competitiveness, and SWOT analysis. For example, the marketability attribute is not evaluated, but new attribute assessments are possible through synthesis of attribute scores such as current, superior or reliable.

In the case of secondary attributes, it is derived using the sum of the attribute scores of the elements / number of elements. The response time is also calculated equally by changing the attribute score only to the response time, and overlapping attributes are weighted.

The attribute analyzer 240 may evaluate scores for 99 attributes and provide the score results to the client terminal. In addition, the attribute analyzer 240 may store evaluation results by a plurality of evaluators (users) and calculate and store an average value. In this case, the analysis result may be calculated according to the user's personal information. The attribute evaluation result calculated in this way is stored in the attribute database 260.

That is, the secondary attribute is calculated through the combination of the primary attributes. For example, the attribute 'Marketability' is not an attribute evaluated by a survey participant, but an attribute such as 'latest', 'relevant', 'excellent' and 'trusted' that corresponds to an attribute evaluated by a survey participant. It is further calculated through the score for. The primary attribute is no longer broken by the consumer intuitively, and the secondary attribute is an attribute determined by combining several items of the primary attribute.

In addition, the attributes evaluated for each object may be converted into numerical values, and may be provided in a graph form as shown in FIG. 4A. In this way, not only the attributes of words but also the standard of judgment or value can be measured.

In addition, as shown in FIG. 4B, an attribute of each object may be represented as an emotion image, and this may be represented on a separate scale. Of course, the present invention is not limited thereto, and various attributes of the object may be represented in a two-dimensional chart with response time and attribute scores.

In this embodiment, through the above-described investigation, even the in-depth psychology that the evaluators may not perceive consciously can be grasped.

It is possible to grasp the in-depth psychology of consumers through the result of attribute score and response time. And, in the case of this system, a quick judgment is induced. This provides an intuitive, in-depth response. Of course, it induces quick judgment, but compares attribute scores with other respondents so that they do not answer silently, and gives high points when scores are similar. The reaction time is then determined by the clarity of the connection between the object and the property. This is a difficult part of autonomous control, so it is possible to understand in-depth psychology. This can increase the credibility of the survey because the question is simple and the same form is repeated and the intention of the question cannot be predicted.

In this embodiment, the time adder 250 may be provided to measure the clarity of the connection between the object and the attribute by using the response time information of the user.

In the present embodiment, the attribute score refers to the strength of the evaluation target, and the response time (response time) refers to the clarity of the connection between the target and the attribute.

In other words, when a survey participant gave a 90-point mark to 'male' in the process of evaluating 'feminine-male' for the subject 'Kim Il-sung', if Kim thought about three seconds or more to determine this, Although he has a high attribute score for 'male', he thinks the connection clarity between objects and attributes is low because of the lengthy time spent in assigning this score. However, in the process of evaluating 'good-evil' for 'Kim Il-sung', if you gave 70 points to 'evil' and thought it to be less than 1 second to judge this, this means that Kim Jong-il's attribute of 'evil' It has a lower attribute score than 'male', but the judgment on this does not require much concern and has a very high connection clarity.

And when the response time is within 0.1 second to 1 second, it is possible to recognize that the attribute recognized by the evaluator is firm and weight the evaluation score to 6 to 10%. In addition, in the case of 1 second to less than 3 seconds, a weight of about 1 to 5% is given. In addition, in the case of 3 seconds or more, the weight may not be given.

Of course, the response time is a different dimension of the link clarity between the object and the property, so it is not desirable to integrate it with the property score. Of course, when the response time is high, the participants have a lot of worries about the evaluation, and therefore, the connection between the object and the property is low, and the modification of the evaluation of the object and the property may be possible in marketing.

In this way, the weighted attribute results are used to convert and store the new attribute evaluation, graph form transformation, and emotional image. At this time, the weighted attribute analysis result is stored in the attribute database 260.

Alternatively, a newly analyzed result value may be added to a value of the previously stored attribute database 260. This enables multiple cumulative investigations and analysis of a single object, which has the advantage of accurately identifying the attribute image of the object.

Of course, this embodiment is not limited to this, and may be given a negative weight according to the response time. For example, if the response time is more than 30 seconds, the user may determine that the attribute for the target is not accurately recognized and may give a weight of -1 to -5%.

The attribute analysis server 200 of the present embodiment includes a target comparator 270. Through this, the client terminal may provide an entertainer or a plant or animal having an attribute similar to that of the subject of his / her request for analysis. The object comparator 270 selects an object having a similar property analysis result or an emotional image value for the object. Preferably, a plurality of objects are analyzed to select similar objects within 10% of the attribute analysis result value of the request object.

That is, a similar object may be extracted by comparing the degree of the attribute of the object with the attribute information stored in the attribute database 260.

In addition, in the present exemplary embodiment, the compensation unit 280 may be provided to compensate for the evaluation result of the evaluator connected to the panel terminal 100, thereby improving participation of the evaluator.

The compensator 280 compares the evaluator's attribute evaluation result with the previously evaluated attribute evaluation result and provides a higher reward if similar.

The reward calculation method is as follows.

If the average of the A-B scores for word A and property B is N,

'1>' N is upper, middle, lower,

If N and input score are in the range of 0 ~ 48, 49 ~ 52, 53 ~ 100, match: 2 points

Difference from '2>' N

If the absolute value of (Input-N) is less than 5: 2

If the absolute value of (Input-N) is less than 20: 1

If the absolute value of (Input-N) is greater than 20: 0

Score obtained is '1> score' + '2> score'

The scorecard according to this is as follows.

4 points: EXC, 3 points: GOOD, 2 points: NORMAL, 1 point: BAD, 0 points: POOR

Compensation may be performed through the reward points as described above. In this case, the reward may be cash and may be points or products corresponding to cash. In this case, it is preferable that the third reward is a basic reward, the second reward is larger than the third reward, and the first reward is larger than the second reward. In this case, the second reward may be given 5 to 20% more reward than the third reward, and the first reward may be given 5 to 20% more reward than the second reward.

In this embodiment, the attribute analysis server 200 is provided with a client terminal 300 for requesting an attribute analysis of a target and receiving the result.

The system may extract other objects (eg, entertainers or animals) similar to the information on the attributes of the objects to derive insights about media advertisements. In addition, because the standardized questionnaire is prepared in advance, databased and stored, longitudinal comparison is possible.

Hereinafter, a method of analyzing an attribute of an object according to an exemplary embodiment will be described.

5 is a flowchart illustrating a method of analyzing an attribute of an analysis target, according to an exemplary embodiment.

As shown in FIG. 5, in the method for analyzing an attribute of an object according to the present embodiment, first, a client provides target attribute information for attribute analysis to its attribute analysis server through its terminal. Subsequently, the attribute analysis server performs attribute analysis on the object.

The evaluator accesses the attribution analysis server through his panel terminal. In this case, a separate login step may be performed.

Subsequently, the attribute analysis server provides the target information for analysis and the attribute analysis word information to the panel terminal (S110).

In this case, the attribute analysis word includes about 54 attribute words.

Subsequently, the evaluation result information of the word corresponding to the attribute felt and recognized by the evaluator with respect to the target information provided through the panel terminal and input time information until obtaining the evaluation result are provided to the attribute analysis server (S120).

Subsequently, the attribute analysis server stores the provided evaluation result information as the primary attribute, calculates the secondary attribute using the primary attribute, and analyzes the attribute for the object (S130). That is, first, the primary attribute is analyzed using the input result, and the secondary attribute is analyzed using the primary attribute.

The result is then stored. In this case, if there is previously stored information, the result information is additionally stored in the corresponding information. Here, the average value of the above information is preferably stored.

Subsequently, the reward of the evaluator is compensated, and as the evaluation result of the evaluator is closer to the attribute average value for the object, the reward is set higher and compensated (S140).

Subsequently, attribute average information about the target is provided to the client (S150).

Then, it is determined whether there is a request for entertainer or flora and fauna information having a property similar to the object from the client. If there is a request as a result of the determination, a list of entertainers and animals and plants in a range similar to that of the target property is provided (S160).

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention.

100: terminal panel 200: property analysis server
210: word storage unit 220: word provider
230: evaluation result receiver 240: attribute analysis unit
250: time addition unit 260: attribute database
270: target comparison unit 280: compensation unit
290: request processing unit 300: client terminal

Claims (9)

A plurality of panel terminals evaluating attributes of the evaluation target provided in the form of words or images;
An attribute analysis server for providing an attribute analysis word for attribute evaluation of the object and analyzing the attribute for the object according to the evaluation result of the panel; And
And a client terminal for checking an attribute evaluation result for the analyzed object, wherein the attribute analysis server includes:
A word storage unit storing attribute analysis word pairs, a word providing unit providing target information and attribute analysis word pair information to a panel terminal, and an evaluation for receiving and storing a user's evaluation (decision) result and response time information through the panel terminal And a result receiver, an attribute analyzer for analyzing the attributes and emotions of the object using the evaluation result, an attribute database for storing the attribute results for the objects, and a request processor for processing a request of the client terminal. Characteristic analysis system of the object to be characterized.
delete The method of claim 1,
The word storage unit stores 54 attribute analysis word pairs,
The attribute analyzer analyzes the primary attributes of the object using the evaluation results, and derives 45 secondary attributes using the primary analysis results.
An attribute analysis system for analysis, characterized in that the analysis of 99 dimensions.
The method of claim 3,
The secondary attribute is the attribute analysis system of the analysis object, characterized in that derived by using a value obtained by dividing the sum of the attribute score of the elements by the number of elements.
The method of claim 1,
The attribute analysis server may further include a time adder configured to measure clarity of the attribute connection using the response time information of the user, and a target comparator configured to extract and provide another object having an attribute similar to any object in the attribute database. And a compensation unit configured to compensate the user of the panel terminal.
The method of claim 5,
And the compensation unit compares the attribute score with other respondents and performs a higher reward as the score is similar.
Providing, by the attribute analysis server, the panel terminal with attribute analysis word information and target information for analysis to the evaluator;
Receiving, by the attribute analysis server, an evaluation result of the attribute analysis word and input time information from the panel terminal by an evaluator;
Analyzing, by the attribute analysis server, primary and secondary attributes of an object using the evaluation result;
Storing, by the attribute analysis server, attribute information of the analyzed object, and additionally storing the attribute information in pre-stored information; And
And providing, by the attribute analysis server, attribute information about the object to a client.
The method of claim 7, wherein analyzing the primary and secondary attributes,
54 primary attributes are analyzed using the evaluation result, and 45 secondary attributes are analyzed using the primary attribute analysis result.
A computer program according to claim 7 or 8, wherein the computer program is stored according to the property analysis method of the analysis object.

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