KR20160143393A - Method for quantification of evaluation result about target of evaluation - Google Patents

Abstract

The present invention provides a method for quantifying an evaluation result, for quantifying a positive response and a negative response for an evaluation target based on mutual discussion contents including positive evaluation information and negative evaluation information for evaluation items about overall evaluation results including the positive evaluation information and the negative evaluation information for a plurality of evaluation items, which are previously classified for the evaluation target collected from user terminals, and a partial evaluation result, extracted from the overall evaluation results.

Description

METHOD FOR QUANTIFICATION OF EVALUATION RESULTS ABOUT TARGET OF EVALUATION [0002]

The following embodiments relate to a method for quantifying an evaluation result for an evaluation object.

It is no exaggeration to say that online, including social networks, is the first indicator of the "flow of opinion". The 'real-time search query', which is often ranked in various search portals, can be a kind of text-based infographic that can tell how public opinion is changing.

The key to online opinion analysis is how to scientifically and systematically analyze public opinion in the Internet world, which is full of publicity and advertising, such as web documents, blogs, cafes, and social network services (SNS) . In particular, the process of collecting and processing valid data by distinguishing buzz generated by ordinary consumers from buzz generated by powerbloggers supported by a specific company is not easy.

Embodiments described below can provide a technique for eliminating the influence of a corporate blogger in order to effectively collect opinions of general consumers among the buzz that occurs on the Internet.

According to an embodiment, the server can easily collect and process the overall evaluation result and the mutual discussion contents of the evaluation object from the questionnaire participant through the application installed in the user terminal.

According to one embodiment, a positive evaluation and a negative evaluation can be easily quantified for a plurality of evaluation items for the evaluation subject.

According to one embodiment, a detailed evaluation of the details of each of the plurality of evaluation items for the evaluation object is additionally carried out as needed, and a positive evaluation result and a negative evaluation result of the additional detailed evaluation result are easily .

Embodiments described below can provide a technique for generating buzz while eliminating the influence of a corporate blogger using a closed social network service (closed SNS). According to embodiments, the category of buzz generated is automatically categorized and the positivity / negation of the generated buzz can be automatically evaluated.

According to one embodiment, a method for quantifying an evaluation result includes collecting, from user terminals, an overall evaluation result including positive evaluation information and negative evaluation information on a plurality of evaluation items classified in advance for an evaluation target; Collecting mutual discussion contents including positive evaluation information and negative evaluation information on evaluation items related to some evaluation results extracted from the overall evaluation results; And quantifying an affirmative response and a negative response to the evaluation object based on the overall evaluation result and the mutual discussion contents.

The step of collecting the overall evaluation result may include collecting at least one of positive evaluation information on the first evaluation item and negative evaluation information on the second evaluation item from a single user terminal.

The evaluation items related to the partial evaluation result may include a third evaluation item corresponding to the affirmative evaluation information of the partial evaluation result and a fourth evaluation item corresponding to the negative evaluation information of the partial evaluation result.

Wherein the quantifying step includes quantitative evaluation information including positive evaluation information included in the overall evaluation result, negative evaluation information included in the overall evaluation result, positive evaluation information included in the mutual discussion content, and negative evaluation information included in the mutual discussion content And quantifying the affirmative response and the negative response to the evaluation object based on the evaluation result.

The quantifying step may include measuring the total amount of the positive evaluation information and the negative evaluation information included in the overall evaluation result and the mutual discussion content for each of the plurality of evaluation items.

Wherein the quantifying step comprises: measuring a total amount of positive evaluation information and negative evaluation information included in the overall evaluation result and the mutual discussion content of the evaluation target; Calculating at least one of a ratio of the total amount of the item among the total amount, a ratio of the positive evaluation information included in each of the overall evaluation result and the mutual discussion content among the total amount by the item, and a ratio of the negative evaluation information .

The method of quantifying the evaluation result includes: storing the total amount by item; Storing a ratio of the total amount by the item in the total amount for each of the plurality of evaluation items; And storing the ratio of the affirmative evaluation information and the ratio of the negative evaluation information for each of the plurality of evaluation items.

The method for quantifying the evaluation result may further include the step of providing information including a first quantization result corresponding to the first evaluation object and a second quantization result corresponding to the second evaluation object.

The method for quantifying the evaluation result may further include a first field including a dimension, a second field including an evaluation item, and a third field including a flag indicating an affirmative or negative, based on the overall evaluation result and the mutual discussion contents, A field, and a fourth field including a comment.

The method of quantifying the evaluation result may further comprise the steps of: quantifying, based on the first table corresponding to the first evaluation object and the second table corresponding to the second evaluation object, And a third table in which comments of the first table and comments of the second table are integrated.

The method for quantifying the evaluation result may further include a step of determining the degree of affirmation or negation of the first evaluation subject and the degree of affirmation or negation of the second evaluation subject in correspondence with each of the plurality of evaluation items classified in advance And providing the information that is displayed at the same time.

The affirmative evaluation information may include information on an evaluation item positively evaluated among the plurality of evaluation items, and a comment on the positively evaluated item.

The negative evaluation information may include information on an evaluation item that is negatively evaluated among the plurality of evaluation items, and a comment on the negative evaluation item.

The method of quantifying the evaluation result may further include collecting detailed evaluation results including positive evaluation information and negative evaluation information on the details of each of the plurality of evaluation items before collecting the mutual discussion contents And an affirmative response and a negative response to the evaluation subject can be quantified based on the detailed evaluation result.

Wherein the method for quantifying the evaluation result further includes collecting detailed discussion contents including positive evaluation information and negative evaluation information on evaluation items related to a part extracted from the sub evaluation result, Acknowledgments and negative responses can be quantified further based on the details of the discussion above.

Wherein the quantifying step includes the step of measuring the details of each of the plurality of evaluation items and the total amount of the details of the positive evaluation information and the negative evaluation information included in the detailed discussion content .

Wherein the quantifying step comprises the steps of: measuring the detailed evaluation result for each of the plurality of evaluation items, and the detailed total amount of the positive evaluation information and the negative evaluation information included in the detailed discussion content; And a ratio of the positive evaluation information included in each of the details of the detailed discussion and the ratio of the negative evaluation information among the total amount of the details, And a step of calculating the number of steps.

The overall evaluation result may further include a rating for the evaluation subject, and the mutual discussion content may further include a rating for the evaluation result.

According to one aspect of the present invention, it is possible to efficiently collect opinions of general consumers by eliminating the influence of a corporate blogger among buzzs generated on the Internet, and to automatically classify and evaluate buzz generated by general consumers.

According to an aspect of the present invention, an application installed in a user terminal enables a server to easily collect and process an overall evaluation result and a mutual discussion content about an evaluation subject from a survey participant.

According to one aspect of the present invention, positive evaluation information and negative evaluation information are separately classified and collected for each of a plurality of evaluation items, whereby the positive and negative responses to the evaluation target can be easily quantified.

According to one aspect of the present invention, a detailed evaluation of the details of each of the plurality of evaluation items for the evaluation subject is carried out as needed, and a positive evaluation and a negative evaluation result of the collected detailed evaluation result are integrated Can be quantified as

In addition, according to one aspect of the present invention, a first quantization result corresponding to a first evaluation object that can be compared with each other and a second quantization result corresponding to a second evaluation object are provided so as to be contrasted, So that the difference can be grasped.

1 illustrates a system environment in which a method for quantifying an evaluation result for an evaluation object according to an embodiment is performed.
2 is a flow diagram illustrating a method for quantifying an evaluation result according to one embodiment.
3 is a flow diagram illustrating a method for quantifying positive and negative responses to an evaluation subject in accordance with an embodiment;
4 is a flow chart illustrating a method for quantifying an evaluation result according to another embodiment;
5 is a diagram showing an introduction screen of an application provided to a user terminal according to a method of quantifying an evaluation result according to an embodiment.
6 illustrates a screen provided to a user terminal for collecting an overall evaluation result according to a method for quantifying an evaluation result according to an exemplary embodiment.
FIG. 7 is a diagram illustrating a screen provided to a user terminal to collect mutual discussion contents according to a method of quantifying an evaluation result according to an exemplary embodiment; FIG.
8 is a diagram illustrating a screen provided to a user terminal for collecting detailed evaluation results on the details of each of a plurality of evaluation items according to a method for quantifying an evaluation result according to an embodiment;
FIGS. 9 to 11 are views showing screens provided to a user terminal for collecting an overall evaluation result according to a method of quantifying an evaluation result according to another embodiment; FIG.
12 is a diagram showing a screen provided to a user terminal for collecting detailed evaluation results of each of a plurality of evaluation items for an evaluation target according to a method for quantifying evaluation results according to another embodiment;
13 is a diagram showing the overall evaluation result, the detailed evaluation result, and the mutual discussion contents corresponding to each evaluation result collected in the server according to the method of quantifying the evaluation result according to the embodiment.
14 illustrates graphs and tables generated by a server based on overall evaluation results and mutual discussion content according to a method for quantifying an evaluation result according to an embodiment;
15 is a graph showing a graph generated by the server on the basis of the positive evaluation information and the negative evaluation information included in the overall evaluation result and the mutual discussion contents according to the method of quantifying the evaluation result according to the embodiment.
16 is a graph showing a graph generated based on the overall evaluation result, the detailed evaluation result, the mutual discussion content, the positive evaluation information included in the detailed discussion content, and the negative evaluation information according to the method of quantifying the evaluation result according to an embodiment Fig.
17 is a diagram showing a new table generated by a server based on a table corresponding to a first evaluation target and a table corresponding to a second evaluation target according to a method for quantifying an evaluation result according to an embodiment.
18 is a diagram showing an example of information including a quantization result corresponding to a first evaluation object and a quantization result corresponding to a second evaluation object provided by a server according to a method for quantifying an evaluation result according to an embodiment .

In the following, embodiments will be described in detail with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements.

Various modifications may be made to the embodiments described below. It is to be understood that the embodiments described below are not intended to limit the embodiments, but include all modifications, equivalents, and alternatives to them.

The terms used in the examples are used only to illustrate specific embodiments and are not intended to limit the embodiments. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises" or "having" and the like refer to the presence of stated features, integers, steps, operations, elements, components, or combinations thereof, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this embodiment belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

In the following description of the present invention with reference to the accompanying drawings, the same components are denoted by the same reference numerals regardless of the reference numerals, and redundant explanations thereof will be omitted. In the following description of the embodiments, a detailed description of related arts will be omitted if it is determined that the gist of the embodiments may be unnecessarily blurred.

1 is a diagram showing a system environment in which a method for quantifying an evaluation result for an evaluation object according to an embodiment is performed.

Referring to FIG. 1, a system environment according to one embodiment may include a network 50, a user terminal 110, and a server 130.

The network 50 may be any suitable network such as the Internet, intranets, extranets, wide area networks (WANs), local area networks (LANs), wired networks, wireless networks, ≪ / RTI > may comprise any combination of two or more of these.

The user terminal 110 may be, for example, a terminal, a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a wearable device, Can be implemented. The user terminal 110 is connected to the server 130 via the network 50. According to one embodiment, the user terminal 110 may be a terminal included in a closed social network service (closed SNS). Unlike a typical open social network service (open SNS), a closed social network service is a service that restricts a subscription target according to predetermined rules. For example, a closed social network service may define a subscription target according to a rule that selects a general consumer class for a specific evaluation target. For example, a closed social network may include users who are not power bloggers, while maintaining a representative that reflects the market. The embodiments described below operate based on closed social network services, thereby eliminating the impact of corporate bloggers that occur indiscriminately on the Internet.

In addition, as will be described in greater detail below, embodiments can provide a technique for automatically classifying and evaluating buzz of general consumers generated based on closed social network services. Buzz is a term derived from the free opinion of members in a particular group, and the sound of the members sharing their opinions is like a whispering buzzing sound.

The server 130 may be, for example, a single server computer or similar system, or a plurality of servers arranged in one or more server banks or other arrangements. The server 130 may be a single server located in a single facility or may be a server "cloud " distributed across different geographical locations.

The user terminal 110 can download the application used to quantify the evaluation result on the evaluation object from the server 130 via the network 50. [ The user terminal 110 can transmit the overall evaluation result and the mutual discussion contents of the plurality of evaluation items classified in advance to the evaluation target inputted from the user through the application to the server 130. [ In addition, the user terminal 110 may also transmit the detailed evaluation results of the details of each of the evaluation items input from the user through the application and the detailed discussion contents to the server 130.

The application can be performed by the user selecting the execution icon of the application displayed on the screen of the user terminal 110. [ As the application is executed, the main screen of the application may be provided on the screen of the user terminal 110. [ At this time, the main screen may display a plurality of fields requesting participants to participate in the questionnaire and the number of inquiries that can be participated in each of the plurality of fields.

When an application belonging to one field is selected by a user of the user terminal 110 among a plurality of fields displayed on the main screen, the application displays a plurality of answers Lt; / RTI > interfaces. At this time, the plurality of interfaces can be sequentially activated by predetermined processes.

The term 'interface' is used herein to refer to a user interface that can be used to collect various types of information from a user, such as, for example, text, pictures or photographs, A user interface (UI), a guide letter, and the like.

In one embodiment, when an investigation belonging to one field is selected in the main screen, an introduction screen of an application provided to the user terminal will be described with reference to FIG.

The user terminal 110 can provide the collected information to the server 130 via the network 50 through the sequentially activated interfaces. At this time, the information collected through each interface may include, for example, an overall evaluation result, a detailed evaluation result, a mutual discussion content, and a detailed discussion content of a plurality of evaluation items classified in advance for the evaluation subject.

The server 130 may automatically store and analyze information collected from the user terminal (s)

2 is a flow chart illustrating a method for quantifying an evaluation result according to an embodiment.

Referring to FIG. 2, a server according to an exemplary embodiment collects (210) an overall evaluation result on a plurality of evaluation items classified in advance for an evaluation object from user terminals. The overall evaluation result includes positive evaluation information and negative evaluation information for a plurality of evaluation items. As described above, according to one embodiment, user terminals may be user terminals included in a closed social network service. In this case, the server may determine, before step 210, whether the user terminal is a terminal subscribed to the closed social network service. The server may perform steps 220 to 230 only if the user terminal is a terminal subscribed to the closed social network service.

Evaluators include not only products such as cell phones, washing machines, televisions, but also non-products such as school violence, poverty, and other social problems. An example of a screen that the server provides through an application to collect overall evaluation results from user terminals is described with reference to FIG.

In step 210, the server may collect, from a single user terminal, affirmative evaluation information for the first evaluation item and negative evaluation information for the second evaluation item.

For example, suppose that the subject to be evaluated is a mobile phone, and the plurality of items to be classified in advance are design, product performance, price, after-sales service, and brand.

The server collects affirmative evaluation information on the design and the negative evaluation information on the design from the A user terminal, collects affirmative evaluation information on the product performance and the negative evaluation information on the after-service from the B user terminal, Can collect positive evaluation information on the brand and negative evaluation information on the design.

The affirmative evaluation information may include information on the evaluation items that are positively evaluated among the plurality of evaluation items and comments on the items evaluated positively. The negative evaluation information may include information on the evaluation item that is negatively evaluated among the plurality of evaluation items, and a comment on the negative evaluated item.

For example, information about a positive (or negative) evaluation item may be a score corresponding to a degree of evaluating the evaluation object as positive (or negative), or a score corresponding to one of the following: upper, middle, lower, It can be an answer to a multiple choice fingerprint that displays a positive or negative degree step by step, such as 'Mostly likes', 'Half is', 'I do not like it at all'.

According to an embodiment, the server may proceed through the application with a pre-survey to limit the user's entitlement to participation before collecting the overall evaluation results. At this time, the preliminary questionnaire is to collect more specialized and concrete information about the evaluation subject. For example, if the evaluation target is a mobile phone A, the server inquires the user whether the mobile phone is used by the application through the application, and an interface for creating the overall evaluation result only when the mobile phone A is used Can be activated.

The server can selectively determine whether to proceed with the pre-survey, and the pre-survey can be conducted in the application by the control signal of the server.

The server 220 collects the mutual discussion contents including the positive evaluation information and the negative evaluation information on the evaluation items related to the partial evaluation results extracted from the overall evaluation results collected in step 210.

At this time, the evaluation items related to some evaluation results may include a third evaluation item corresponding to the affirmative evaluation information of some evaluation results and a fourth evaluation item corresponding to the negative evaluation information of some evaluation results.

For example, assuming that 1000 overall evaluation results are collected, the server may randomly or out of a total of 1000 overall evaluation results extract a predetermined number (e.g., 10) of evaluation results . The server can gather mutual discussions about the evaluation items included in the 10 evaluation results extracted. For example, assume that there are positive evaluation information for design and brand in 10 extracted evaluation results, and negative evaluation information for price and after-sales service. The server can collect the mutual discussion contents about the design (or the brand) corresponding to the affirmative evaluation information and the price (or the after-service) corresponding to the negative evaluation information through the application.

In this case, for example, the schedule rule may be such that the evaluation information for a plurality of evaluation items classified in advance among the collected overall evaluation results is uniformly included in the same ratio, or that the evaluation information for each evaluation item collected in the overall evaluation To be included at a constant rate at which the ratio can be maintained. The content of mutual discussions can also include positive evaluation information and negative evaluation information as well as overall evaluation results.

An example of a screen that the server provides through an application to collect mutual discussion contents from user terminals will be described with reference to FIG.

Depending on the embodiment, the overall evaluation result collected at step 210 may further include a rating for the evaluation subject. Further, the mutual discussion contents collected in step 220 may further include a rating for some evaluation results. At this time, the score may be displayed as a score, for example, from 0 to 10, or may be expressed in any form of a multiple choice, such as "I do not like it at all" or "I do not like it at all".

The server quantifies the positive and negative responses to the evaluation object based on the overall evaluation result collected at step 210 and the mutual discussion contents collected at step 220 (230). The server is configured to determine whether to evaluate the target object based on the positive evaluation information included in the overall evaluation result, the negative evaluation information included in the overall evaluation result, the positive evaluation information included in the mutual discussion content, Positive and negative responses can be quantified. The overall evaluation results and the mutual discussion contents collected on the server will be described with reference to FIG.

A specific method by which the server quantifies affirmative and negative responses to the evaluation object will be described with reference to FIG.

3 is a flowchart illustrating a method for quantifying an affirmative response and a negative response to an evaluation object according to an embodiment.

Referring to FIG. 3, a server according to an exemplary embodiment may measure a total amount of positive evaluation information and negative evaluation information included in the overall evaluation result and the mutual discussion contents of the evaluation target (310). The server may store the total amount measured in step 310. [

The server may measure 320 the total evaluation result for each of the plurality of evaluation items and the total amount of the positive evaluation information and the irregular evaluation information included in the mutual discussion contents.

The server calculates the percentage of the total amount of the items measured in step 320 among the total amount measured in step 310, the overall evaluation result of the total amount of items measured in step 320, and the positive evaluation information And the ratio of the negative evaluation information to the evaluation target (330).

For example, suppose that five evaluation items (taste, quantity, hygiene status, price, packaging status) are pre-classified for the subject to be evaluated (kimbap) and 100 overall evaluation results for all five evaluation items . Of the 100 cases, 65 were affirmative evaluation information, and 65 items were rated 25 for taste, 12 for quantity, 13 for hygiene, 8 for price, and 7 for packaging. Let's say. Of the 100 cases, the negative evaluation information was 35, and there were 7 cases of taste, 10 cases of quantity, 8 cases of phase status, 6 cases of price and 4 cases of packing information Let's say.

In addition, the evaluation items related to the 10 evaluation results extracted from 100 items are taste, quantity and price, and among the mutual discussion contents of the taste, quantity and price evaluation items, 15 were affirmative evaluation information, and 10 were negative evaluation information lets do it. At this time, there are 7 affirmative evaluation information for taste, 3 for quantity, and 5 for price, and there are negative evaluation information for taste, 2 for quantity, and 3 for price.

In step 310, the server sends the affirmative evaluation information (65), the unjust evaluation information (35), and the positive evaluation information (15) included in the mutual discussion contents included in the overall evaluation result to the evaluation object The total amount of negative evaluation information (10 cases) can be measured as 65 + 35 + 15 + 10 = 125 cases.

In step 320, the server obtains the total evaluation result and the total amount of the positive evaluation information and the negative evaluation information included in the mutual discussion contents for each of the five evaluation items (taste, quantity, hygiene state, price, Can be measured. That is, the server has 32 affirmative evaluations and 9 negative evaluations for the items, 15 affirmative evaluations and 15 negative evaluations for the quantities, 13 affirmative evaluations and 8 negative evaluations for the hygiene status, , 13 positive evaluations and 9 negative evaluations, and for the packaging status, 7 positive evaluations and 4 negative evaluations.

In step 330, the server obtains the ratio of the evaluation of taste among the total amount of 125 measured in step 310 to (41/125) * 100% = 32.8%, and the positive evaluation information and the negative evaluation The ratio of information can be quantified as (32/41) * 100 = 78% and (9/41) * 100 = 22%. The server can quantify the rest of the evaluation items by quantifying the evaluation of the taste of the kimbap.

The quantified results from measurements or calculations in steps 310 to 330 may be provided in the form of, for example, graphs or charts. The results quantified by the server based on the overall evaluation result and the mutual discussion contents will be described with reference to Figs. 14 to 15. Fig.

The server may store the ratio of the total amount of items in total amount calculated in step 330 to each of the plurality of evaluation items. Further, the server may store the ratio of the affirmative evaluation information and the ratio of the negative evaluation information, calculated in step 330, for each of the plurality of evaluation items.

In addition, the server may generate a table based on the overall evaluation results and the mutual discussion contents (340). The table may include, for example, a first field that includes a dimension, a second field that includes a category, a third field that includes a flag that indicates affirmation or negation, And a fourth field that includes a second field. The table generated by the server in step 340 will be described with reference to FIG.

According to the embodiment, the server can quantify an affirmative response and a negative response to not only one evaluation object but also a plurality of evaluation objects, and can generate a table (for example, a first evaluation A table corresponding to the object and a table corresponding to the second evaluation object). At this time, the generated new table will be described with reference to FIG. The information including the quantification result corresponding to the first evaluation object provided by the server and the quantization result corresponding to the second evaluation object will be described with reference to FIG.

4 is a flowchart showing a method of quantifying an evaluation result according to another embodiment. Referring to FIG. 4, the server according to an embodiment may collect, from user terminals, an overall evaluation result including positive evaluation information and negative evaluation information on a plurality of evaluation items classified in advance for the evaluation target (410).

The server may collect the detailed evaluation results including the affirmative evaluation information and the negative evaluation information on the details of each of the plurality of evaluation items (420). The details of each of the plurality of evaluation items can also be classified in advance. The screen provided to the user terminal to collect the detailed evaluation results of the details of each of the plurality of evaluation items according to an embodiment is shown in FIG.

At this time, the affirmative and negative responses to the evaluation subject can be quantified based on the detailed evaluation results as well as the overall evaluation results collected in step 410. [

The server can collect the mutual discussion contents including the positive evaluation information and the negative evaluation information on the evaluation items related to some evaluation results extracted from the overall evaluation results (430).

The server may collect the detailed discussion contents including the positive evaluation information and the negative evaluation information on the evaluation items related to the part extracted from the detailed evaluation result (440). At this time, the positive and negative responses to the evaluation subject can be quantified further based on the detailed discussion contents.

An example of a screen that the server provides through an application to collect mutual discussion contents and / or detailed discussion contents from user terminals will be described with reference to FIG.

The server may quantify the affirmative and negative responses to the subject based on the overall evaluation result, the mutual discussion contents, the detailed evaluation results, and the detailed discussion contents (450).

An example of a screen that the server provides through an application to collect detailed evaluation results of the details of each of a plurality of evaluation items from user terminals will be described with reference to FIG.

At step 450, the server obtains the detailed evaluation results for the details of each of the plurality of evaluation items, and the details of the positive evaluation information and the negative evaluation information included in the detailed discussion content The total amount of stars can be measured. In addition, the server can measure the detailed evaluation result of each of the plurality of evaluation items, and the detailed total amount of the positive evaluation information and the negative evaluation information included in the detailed discussion contents. The server can calculate at least one of the ratio of the total amount of detail among the detailed amount, the ratio of the positive evaluation information included in each of the detailed evaluation results of the total amount by detail, and the detailed discussion information and the ratio of the unjust evaluation information.

The graph generated by the server on the basis of the overall evaluation result, the detailed evaluation result, the mutual discussion content, and the positive evaluation information and the negative evaluation information included in the detailed discussion content will be described with reference to FIG.

FIG. 5 is a diagram showing an introduction screen of an application provided to a user terminal according to a method of quantifying an evaluation result according to an embodiment.

Referring to FIG. 5, an application screen 500 provided to a user terminal according to an exemplary embodiment includes a guidance text display portion 510 for providing a guidance text for an evaluation target, a user An evaluation icon 520, a mutual discussion icon 530 for conducting a mutual discussion on the personal evaluation result, and an SNS activity icon 540 for accepting a response to a question about the user's SNS activity have.

When the user selects the self-evaluation icon 520, screens for collecting an overall evaluation result on the evaluation target from the user are provided. The screen provided to the user terminal for collecting the overall evaluation result will be described with reference to FIG. In addition, a screen provided to the user terminal when the user selects the mutual discussion icon 530 will be described with reference to FIG.

The mutual discussion icon 530 and the SNS activity icon 540 may be blocked from users' access to the content created by the user. If access to creation content is blocked, a key may appear on each icon, such as a mutual discussion icon 530 and an SNS activity icon 540.

In addition, the screen 500 of the application according to one embodiment may include an additional question icon 550 for accepting the user's answer to the additional question. The additional question is a question of the server operator asking the user in the back office. If there is an additional question, the badge may be displayed in a part of the additional question icon 550. The user may select an additional question icon 550 to create an answer to the question.

FIG. 6 is a diagram illustrating a screen provided to a user terminal for collecting an overall evaluation result according to a method for quantifying an evaluation result according to an exemplary embodiment.

Referring to FIG. 6, screens 610 and 630 for collecting an overall evaluation result of an evaluation object may include a plurality of items for requesting a user's answer.

The plurality of questions includes, for example, a question 611 inquiring about an overall evaluation of the evaluation subject, a question 613 asking about evaluation items positively evaluated among a plurality of evaluation items previously classified to the evaluation subject, (615) requesting a comment on a reason for positive evaluation, a question 631 for a negative evaluation item among a plurality of evaluation items, and a request for a comment about a reason for negative evaluation Question 633, and the like.

(611) inquiring about the overall evaluation of the evaluation subject, a question (613) asking about the evaluation items positively evaluated among a plurality of evaluation items classified in advance for the evaluation subject, and a negative evaluation item The question 631 for asking about the question may be a multiple choice question that prompts the user to select one of the predetermined answers.

The application may provide an interface to accommodate the user's selection of each of the items 611, 613, 615, 631, 633.

In addition, the comment creation request 615, 633 is a request for a reply of a narrative type of the reason why the user has evaluated positively or negatively by the user. In response to the comment creation request 615, 633, Interfaces may be provided together. The application can collect the user-written comments in the form of sentences and deliver them to the server.

Further, the application may provide a next button 635 for proceeding to the next step in the screen 630 for collecting the overall evaluation result on the evaluation object. When the user selects the next button 635, the screen of the user terminal may be provided with a screen for collecting detailed evaluation results or mutual discussion contents.

According to one embodiment, the server may send an activation signal to activate at least one interface depending on the progress to collect the overall evaluation results. The application can sequentially activate at least one interface that collects answers to each question based on an activation signal received from the server.

FIG. 7 is a diagram illustrating a screen provided to a user terminal to collect mutual discussion contents according to a method of quantifying an evaluation result according to an exemplary embodiment.

Referring to FIG. 7, a screen 700 for collecting mutual discussion contents is shown. The screen 700 includes a question 710 for inquiring about the evaluation of a plurality of users for the evaluation items positively evaluated in the overall evaluation result and a question for inquiring why the user thinks the question as a positive or negative answer in the item 710 (730) inquiring about the evaluation of a plurality of users for the evaluation item that is negatively evaluated in the overall evaluation result, and a question for inquiring why the user thinks it as a positive or negative answer in the item (730) (Not shown) and a next button 740 for proceeding to the next step.

At this time, the questions 710 and 730 may include an interface for accepting users' answers to the questions of the multiple choice type, which prompts the users to select one of the predetermined answers.

The item 720 may include an interface for describing why the users think of the item as a positive or negative answer in the item 710.

8 is a view showing a screen provided to a user terminal for collecting detailed evaluation results on details of each of a plurality of evaluation items according to a method of quantifying an evaluation result according to an embodiment.

Referring to FIG. 8, screens 810 and 830 are shown for collecting the detailed evaluation results. The screen 810 includes a question 811 for inquiring the user's evaluation of the details of each of the plurality of evaluation items, a question 813 for inquiring about the reason for evaluating the evaluation items in a positive and negative manner, , And a Next button 815. [

When a user touches a portion for creating an answer to the item 813, the application may provide a keyboard interface 831 used by a user to create a comment and an interface 833 for attaching a photograph.

9 to 11 are views showing screens provided to a user terminal for collecting an overall evaluation result according to a method of quantifying an evaluation result according to another embodiment.

9, a screen 910 for collecting an overall evaluation result on the evaluation subject includes a guidance letter 911 for guiding the evaluation of the evaluation target, together with a guide letter 911 for the evaluation target (for example, LF sonatas) And a question 913 requesting to describe the overall feel.

The user can input an overall feeling of the evaluation target in an open form by a writing interface 915 provided for collecting answers to the question 913. [ The application can pass the answers collected by the write interface 915 to the server as a sentence.

When the user who has completed the answer to the question 913 selects the next button 917, the application can provide the screen of FIG. 10 to the user terminal.

FIG. 10 is a screen for inquiring which evaluation item or detail field the user made through FIG. 9 is for.

The screen of Fig. 10 is a screen for explaining how the content created by the user through Fig. 9 belongs to a plurality of evaluation items (for example, the reputation and reputation of the model, fuel economy, convenience, appearance design, A screen 1010 for inputting a selection and a screen 1030 for selecting one evaluation item to be a core from the user.

After selecting the evaluation items displayed on the screen 1010, if the user selects the next button 1013, the application can provide the screen 1030 to the user terminal.

For example, if a plurality of evaluation items are selected on the screen 1010, the user can select one evaluation item, which is the most important among the evaluation items previously selected, through the screen 1030. If the user selects only one evaluation item among a plurality of evaluation items displayed on the screen 1010, the user may select the same evaluation item on the screen 1030. [

When the user presses the next button 1033 after completing selection of any one of the evaluation items displayed on the screen 1030, the application can provide the screen 1100 of FIG. 11 to the user terminal have.

A screen 1100 in Fig. 11 is a screen for inquiring whether the overall evaluation of the user to be evaluated is negative or positive. Depending on the embodiment, the application may inquire whether the evaluation of the most critical evaluation item is negative or positive.

When the user selects one of the positive evaluation or the negative evaluation displayed on the screen 1100 and then presses the next button 1110, the application can provide the screen of FIG. 12 to the user terminal.

12 is a view showing a screen provided to a user terminal for collecting detailed evaluation results of each of a plurality of evaluation items for an evaluation object according to a method for quantifying an evaluation result according to another embodiment.

12, a screen 1210 for collecting the user's satisfaction with any one of the evaluation items displayed on the screen of FIG. 10, a screen 1230 for collecting the positive evaluation information about the evaluation item, And a screen 1250 for collecting negative evaluation information.

The application can provide the user terminal with a screen for collecting the respective satisfaction, affirmative evaluation information, and negative evaluation information for all of the plurality of evaluation items displayed on the screen of Fig. According to the embodiment, the application may collect the satisfaction degree, the affirmative evaluation information, and the unjust evaluation information only for some of the evaluation items among the plurality of evaluation items, or may collect only the evaluation information of either the positive evaluation information or the unjust evaluation information Screen.

The screen 1210 for collecting satisfaction with the evaluation item includes a guidance 1211 for guiding detailed evaluation of the evaluation items, a question 1213 for requesting satisfaction of one of the evaluation items, 1215). At this time, the question 1213 may display the levels of satisfaction that the user can select.

If the user who selected the answer to the question 1213 selects the next button 1215, the application can provide a screen 1230 for collecting the positive evaluation information. The screen 1230 for collecting the affirmative evaluation information may include a writing interface 1231 for the user to create affirmative evaluation information for the evaluation item.

When the user who has completed the creation of the affirmative evaluation information selects the next button 1233, the application can provide a screen 1250 for collecting negative evaluation information. The order of providing the screen 1230 for collecting the affirmative evaluation information and the screen 1250 for collecting the negative evaluation information may be changed according to the embodiment.

The screen 1250 for collecting the unfair evaluation information may also include a writing interface 1251 for the user to create the unfair evaluation information for the evaluation item. (1253), the application may provide a screen for collecting satisfaction with the next evaluation item, or may provide a screen for collecting mutual discussion contents on the evaluation result.

FIG. 13 is a diagram showing the overall evaluation result, the detailed evaluation result, and the mutual discussion contents corresponding to each evaluation result collected in the server according to the method of quantifying the evaluation result according to the embodiment.

Referring to FIG. 13, a screen 1300 showing users' responses to the overall evaluation result, the detailed evaluation result, and the mutual discussion contents collected through the application executed in the user terminal is shown.

The table shown on screen 1300 may include a questionnaire name 1310, a question number 1320, a response details 1330 and other information (e.g., survey name, question type, question attributes, ).

The questionnaire name 1310 may indicate the dimension of the evaluation to the evaluation object, for example, whether the evaluation is, for example, whether it is a personal evaluation, a detailed evaluation, or a mutual evaluation.

The question number 1320 may indicate an evaluation item for the evaluation object. For example, when the question number is Q2-1, the product performance is shown in the evaluation items, and when the question number is Q4-2-1, the after-sales service among the evaluation items can be indicated. Also, the question number 1320 may include information indicating that the question is about affirmation or negative, as the number itself.

The response details 1330 corresponds to the answer of the user corresponding to the question number 1320. The response detail 1330 includes a sentence expressing a multiple choice answer selected by users among a plurality of predetermined answers and a sentence written by users in response to a question And the like.

The server may generate the graphs and tables described below using information such as that shown on screen 1300. [

14 is a diagram showing a graph 1410 and a table 1430 generated by the server based on the overall evaluation result and the mutual discussion contents according to the method of quantifying the evaluation result according to an embodiment.

For example, in the same manner as that shown in FIG. 3, the server stores the overall evaluation result and the mutual discussion content (e.g., content) of each of five evaluation items (for example, Design, Feature, Performance, UI, Price, Accessory, And the result of measuring the total amount of the positive evaluation information included in the negative evaluation information and the negative evaluation information included in the negative evaluation information can be represented as a graph 1410.

In addition, the server may generate the table 1430 based on the overall evaluation results and the mutual discussion content used to create the graph 1410. At this time, the table 1430 includes, for example, a first field including a dimension of evaluation such as whether the evaluation subject is a self evaluation, a detailed evaluation, or a mutual evaluation, A second field, a third field including a flag indicating positive or negative depending on what the evaluation content of the user is, and a fourth field including a comment of the user. Here, a flag indicating positive or negative may be a value or an indicator indicating a sentiment such as a positive image or a negative image with respect to the evaluation object.

Thus, according to embodiments, the generated buzz categories are automatically categorized and the positivity / negation of the generated buzz can be automatically evaluated.

15 is a diagram showing graphs generated by the server based on the positive evaluation information and the negative evaluation information included in the overall evaluation result and the mutual discussion contents according to the method of quantifying the evaluation result according to an embodiment.

Referring to FIG. 15, the server stores a plurality of evaluation items (for example, Design, Feature, Performance, UI, Price, Accessory, and Image Quality) classified in advance in the manner described with reference to FIG. May be quantified and represented as a graph 1510. [ In addition, the server may quantify the positive and negative responses for each of the evaluation items and display it as graph 1530. [

16 is a flowchart illustrating a method of quantifying an evaluation result according to an exemplary embodiment of the present invention, wherein the server generates graphs based on positive evaluation information and negative evaluation information included in the overall evaluation result, the detailed evaluation result, the mutual discussion content, Fig.

Referring to FIG. 16, the server quantifies the response of the user to the details (Look & Style, Size, Display, Material) of Design, which is one of the evaluation items shown in FIG. 15, ). In addition, the server may quantify the positive and negative responses for each of the sub-items, such as graph 1630.

17 is a diagram showing a new table generated by the server on the basis of the table corresponding to the first evaluation object and the table corresponding to the second evaluation object according to the method of quantifying the evaluation result according to the embodiment.

Referring to FIG. 17, a server generates tables based on an overall evaluation result, a detailed evaluation result, a mutual discussion content, and a detailed discussion content for each of a plurality of evaluation objects to be contrast targets, A new table 1700 can be generated by incorporating user's comments corresponding to each of the plurality of evaluation items previously classified in advance. As shown in FIG. 17, the server can perform a sentence-by-sentence analysis that includes a user's specific comment rather than a simple keyword analysis.

18 is a diagram showing an example of information including a quantization result corresponding to a first evaluation object and a quantization result corresponding to a second evaluation object provided by a server according to a method for quantifying an evaluation result according to an embodiment to be.

Referring to FIG. 18, a server according to an embodiment includes a graph 1810 showing a first quantization result corresponding to a first evaluation target and a graph 1820 showing a second quantization result corresponding to a second evaluation target Can be provided together. For example, the first evaluation target may be a smartphone product of the S company, and the second evaluation target may be a smartphone product of the A company.

At this time, the server may simultaneously indicate the degree of affirmation or negation of the first evaluation object and the degree of affirmation or negation of the second evaluation object, corresponding to each of the plurality of evaluation items classified in advance.

According to one embodiment, the server may perform a Social Network Analysis (SNA). For example, the server can view the initial respondent's opinion as a seed and analyze how the initial respondent's opinion spreads within the social network. The server can spread the seed by asking other participants' comments on the initial responder's opinion. At this time, the other participants are randomly selected, so that the seeds can be spread randomly.

The server can gain the influence of the initial responder in the social network. For example, the server may provide the initial responder with an interface to inquire about the number of participating social network services, the number or period of postings, the number or period of sharing, and the number of friends in the social network. The server can obtain the influence of the initial responder in the social network based on the information input through the interface. In addition, the server can acquire the influence of other participants in a similar manner.

The server can analyze the spread of seed within the social network, taking into account the influence of the initial responder and the influence of other participants. The server can derive the results from at least two points of view. For example, the server determines the initial response intensity considering the influence of the initial responder at the first point of occurrence of the seed, and determines the diffuse response intensity considering the influence of the other participants at the second point of time after the random diffusion of the seed occurs to a certain degree .

The initial reaction intensity is small according to the seed, but the dynamic analysis result such as the diffusion reaction intensity is large, the initial reaction intensity is large but the diffusion reaction intensity is small can be derived.

The embodiments described above may be implemented in hardware components, software components, and / or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, such as an array, a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced. Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

50: Network
110: User terminal
130: Server

Claims (19)

Collecting from the user terminals an overall evaluation result including positive evaluation information and negative evaluation information on a plurality of evaluation items classified in advance for the evaluation subject;
Collecting mutual discussion contents including positive evaluation information and negative evaluation information on evaluation items related to some evaluation results extracted from the overall evaluation results; And
Quantifying an affirmative response and a negative response to the evaluation subject based on the overall evaluation result and the mutual discussion contents
≪ / RTI > The method according to claim 1,
The collecting of the overall evaluation result
Collecting at least one of positive evaluation information on a first evaluation item and negative evaluation information on a second evaluation item from a single user terminal
≪ / RTI > The method according to claim 1,
The evaluation items related to the partial evaluation result
A third evaluation item corresponding to the positive evaluation information of the partial evaluation result and a fourth evaluation item corresponding to the negative evaluation information of the partial evaluation result. The method according to claim 1,
The quantifying step
Based on positive evaluation information included in the overall evaluation result, negative evaluation information included in the overall evaluation result, positive evaluation information included in the mutual discussion content, and negative evaluation information included in the mutual discussion content, Quantifying the affirmative and negative responses to the object
≪ / RTI > The method according to claim 1,
The quantifying step
Measuring a total amount of positive evaluation information and negative evaluation information included in the overall evaluation result and the mutual discussion content of the evaluation target;
Measuring a total amount of the positive evaluation information and the negative evaluation information included in the overall evaluation result and the mutual discussion content for each of the plurality of evaluation items; And
Calculating at least one of a ratio of the total amount of the item among the total amount, a ratio of the positive evaluation information included in the overall evaluation result and the ratio of the positive evaluation information included in the mutual discussion content among the total amount by the item,
The method comprising the steps of: 6. The method of claim 5,
Storing the total amount by item;
Storing a ratio of the total amount by the item in the total amount for each of the plurality of evaluation items; And
Storing the ratio of the affirmative evaluation information and the ratio of the negative evaluation information for each of the plurality of evaluation items
≪ / RTI > further comprising at least one of the following: The method according to claim 1,
Providing information including a first quantization result corresponding to the first evaluation object and a second quantization result corresponding to the second evaluation object
Further comprising the step of: The method according to claim 1,
A second field including an evaluation item, a third field including a flag indicating affirmative or negative, and a third field including a comment indicating a negative or negative indication, based on the overall evaluation result and the mutual discussion contents. Step of creating a table containing 4 fields
Further comprising the step of: The method according to claim 1,
Based on the first table corresponding to the first evaluation object and the second table corresponding to the second evaluation object, the comments of the first table corresponding to each of the plurality of pre-classified evaluation items, A step of generating a third table in which comments of
Further comprising the step of: The method according to claim 1,
Providing information indicating the degree of affirmation or negation of the first evaluation object and the degree of affirmation or the degree of negation for the second evaluation object simultaneously corresponding to each of the plurality of pre-classified evaluation items
Further comprising the step of: The method according to claim 1,
The affirmative evaluation information
Information about an evaluation item that is positively evaluated among the plurality of evaluation items, and a comment on the positively evaluated item. The method according to claim 1,
The negative evaluation information
Information about an evaluation item that is negatively evaluated among the plurality of evaluation items, and a comment on the negatively evaluated item. The method according to claim 1,
Collecting detailed evaluation results including positive evaluation information and negative evaluation information on details of each of the plurality of evaluation items before collecting the mutual discussion contents
Further comprising:
Wherein an affirmative response and a negative response to the evaluation subject are quantified further based on the detailed evaluation result. 14. The method of claim 13,
Collecting detailed discussion contents including positive evaluation information and negative evaluation information on evaluation items related to a part extracted from the detailed evaluation result
Further comprising:
Wherein an affirmative response and a negative response to the evaluation subject are quantified further based on the detailed discussion content. 14. The method of claim 13,
The quantifying step
Measuring a total amount of the details of each of the plurality of evaluation items by the detailed evaluation result and the details of the positive evaluation information and the unjust evaluation information included in the detailed discussion content
≪ / RTI > 16. The method of claim 15,
The quantifying step
Measuring a detailed total result of each of the plurality of evaluation items, and a total amount of positive evaluation information and negative evaluation information included in the detailed discussion content; And
Calculating at least one of a ratio of the total amount of the detailed amount among the detailed total amount, a ratio of the positive evaluation information included in the detailed evaluation result of the total amount by the details, and a ratio of the positive evaluation information included in each of the detailed discussion contents and the ratio of the negative evaluation information Step
Further comprising the step of: The method according to claim 1,
Wherein the overall evaluation result further includes a rating for the evaluation subject,
Wherein the mutual discussion content further includes a rating for the partial evaluation result. The method according to claim 1,
Determining whether the user terminals are subscribed to a predetermined closed social network service
Further comprising the step of: 18. A computer program stored in a medium for executing the method of any one of claims 1 to 18 in combination with hardware.

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