KR101499655B1 - System and method for decision-making support by utilizing an integrated solution of sns - Google Patents

Abstract

The present invention relates to a system and a method for supporting a policy decision using an integrated solution of a social network service which is linked with a plurality of social network services to operate and manage information in a systematic manner and can perform information collection and trend analysis tasks through real time monitoring, customer relation management, processing of civil affairs and reports, and questionnaire surveys, etc. The system according to the present invention comprises: a social network service (SNS) link unit which is linked with a plurality of social network services and collects data including mentions and user information; an information classification unit which assigns classification codes for the data collected by the SNS link unit according to content of the mentions; a transmitting unit which delivers the data with the classification codes assigned at the information classification unit to assigned managers according to the classification codes; a processing unit which receives a response from the manager assigned for the data delivered from the transmitting unit and inserts the response on the social network service through the SNS link unit; and a reporting unit which generates and outputs abstract information including states of the data collected through the SNS link unit, the classification codes, the assigned managers, and the response state of the processing unit.

Description

[0001] SYSTEM AND METHOD FOR DECISION-MAKING SUPPORT BY UTILIZING AN INTEGRATED SOLUTION OF SNS [

The present invention relates to a policy decision support system and method, and more particularly, to a system and method for policy decision support, in which information is integrated and operated in cooperation with a plurality of social network services, and information is collected and analyzed through real-time monitoring, customer relationship management, , A questionnaire survey task, and the like, and a policy decision support system and method using the SNS integrated solution.

Recently, the emergence of personal mobile devices and social networking services (SNS) in accordance with the rapid development of information and communication technology has brought many changes to the social system.

Especially, as the way of communication has changed, there has been a lot of opportunities for consumers to directly or indirectly participate in the planning and development of products, and new words such as Prosumer, which is a combination of producer and consumer, Are also rapidly changing from suppliers to consumers.

This phenomenon can be said to be a major factor in improving the media influence before the level of consumer consciousness is improved. In other words, the past information (information) is propagated by the supplier (media company) and the consumer acquires it. However, nowadays, it is possible to create and share their thoughts through the Internet portal and SNS.

As a result, actual and vivid late and complaints of actual users, rather than exaggerated and packaged propaganda and introductory information, become more reliable information, and the participation and influence of consumers are rapidly increasing.

This trend reflects the changes in the business environment as well as public institutions. In view of customer value, management innovation that allows customers to look at products, technologies and services with a customer-centric approach, Recognizes that it helps improve development and further recognizes that a small idea of a customer can be a key item in the future of the enterprise.

In other words, listening to the voice of customer (VOC) and strengthening communication is now an essential management factor in order to understand exactly what the customer wants. Therefore, we are actively utilizing SNS as a window for collecting, receiving, and communicating the voice of customers beyond the concept of IN-Bound Call-Center, which actively responds to customers.

However, as the types of SNS in common use vary and preferences of SNS are different for each user, it is necessary to operate a large number of SNS accounts in order to utilize SNS actively. Most of the information that is in charge of communication and has a nature such as suggestions, inquiries, complaints, reports, etc., is sent to the person or department that can process it.

This is because it is difficult to select important information even if the important civil petitions and proposals come up on the SNS, and there is a case where a lot of information that the person in charge is busy or communication with other tasks is missed. In some cases, outsourcing is carried out by a third party, but unlike public relations, outsourcing communication is a reality.

Therefore, companies and organizations with sufficient capital can pay expensive rentals for similar analysis software, but they are very expensive at a price range of 3 to 500 million won, which means that the cost of ownership of the database There is a problem that the customization can not be practically accomplished.

In addition, existing public opinion analysis application software performs only the function of focusing on before prediction and current analysis rather than communication center, and it is used only for a dedicated department in charge of customer, and its usability is limited.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a method and system for managing and managing a plurality of SNSs, And a policy decision support system and method using an SNS integrated solution capable of integrally performing processing, questionnaire survey, and the like.

For the same purpose, the policy decision support system utilizing the SNS integrated solution of the present invention includes an SNS interworking unit for collecting data including a mansion and user information in cooperation with a plurality of SNSs; An information classification unit for assigning a classification code according to contents of a mansion of each data collected through the SNS interworking unit; A transmitting unit for transmitting the data to which the classification code is assigned in the information classifying unit to the manager designated by the classification code; A processor for receiving a reply from a designated manager on data received through the transmission unit and displaying the response on the social network service through the SNS interworking unit; A reporting unit configured to generate and output summary information including a status of data collected through the SNS interworking unit, a classification code, a designated administrator, and an answer status of the processing unit; And a control unit.

An information extracting unit extracting a mansion including a set keyword among data collected through the SNS linking unit; An analyzing unit for analyzing data extracted through the information extracting unit according to a time lapse of each keyword to generate analysis information; And the reporting unit may transmit the analysis information of the analysis unit to a designated administrator and output the analysis information.

A setting unit for giving trend information to a user who created data collected through the SNS interworking unit; A tendency evaluation unit for giving tendency scores to users of data sharing the user's mansion to which the tendency information is given through the setting unit and giving trend information through the tendency points; A re-evaluation unit for re-assigning the tendency information by modifying the tendency score according to the presence or absence of the keyword set for the user's mansion to which the tendency information is given; As shown in FIG.

An influence analyzer for analyzing user information of data collected through the SNS interworking unit and evaluating the influence using the number of friends or followers on the SNS to give influence information; And the reporting unit may be configured to transmit the influence information generated through the influence analyzing unit and the summary information obtained by processing the analysis information of the analyzing unit to the selected administrator.

The system also includes a message sending unit for sending a questionnaire created by the administrator through the SNS interworking unit, a message receiving unit for collecting the questionnaires created by the user through the SNS interworking unit, analyzing the reacquired questionnaire contents, An examining unit comprising statistical units for transmitting; As shown in FIG.

In addition, a policy decision support method using an SNS integrated solution of the present invention includes collecting data including a mansion and user information in cooperation with a plurality of SNSs; Assigning a classification code according to the contents of the apartment of each data collected; Transmitting the data to which the classification code is given to the manager designated by the classification code; Receiving a response from a designated administrator on data to be received and displaying the received data on a social network service; Generating and outputting summary information including a status of data collected through a plurality of SNSs, a classification code, a response status of a designated administrator, and an answer status of a processing unit; .

Extracting a mansion including a set keyword among data collected through a plurality of SNSs; Generating analysis information by summarizing the extracted data according to a time lapse of each keyword; Transmitting analysis information to a designated manager and outputting the analysis information; As shown in FIG.

The method may further include: providing trend information to a user who has created data collected through a plurality of SNSs; Providing a tendency score to a user of data sharing the user's mansion to which the tendency information is given, and imparting tendency information through the tendency score; Modifying the tendency score according to whether the keyword included in the user's mansion to which the tendency information is set is included and re-granting the tendency information; As shown in FIG.

Analyzing user information of data collected through a plurality of SNSs and evaluating the influence using the number of friends or followers on the SNS to give influence information; Transmitting the generated influence information and the summary information obtained by processing the analysis information to the selected administrator; As shown in FIG.

Transmitting a questionnaire created by an administrator through a plurality of SNSs; Collecting the questionnaire created by the user through the SNS; Analyzing the re-collected questionnaire contents to generate statistical information and transmitting the statistical information to the administrator; As shown in FIG.

Since the present invention can manage and manage a plurality of SNSs integrally, it is possible to drastically reduce the workload of the practical department, extract and categorize valuable information among a large amount of collected information, And delivering the information to the relevant department where an answer to the complaint can be made.

In addition, it can be built at a low cost, and the DB can be used by customers to effectively manage customers, and it is possible to participate in customer comments promptly by adding questionnaire functions.

1 is a conceptual diagram illustrating an information flow according to the present invention;
FIG. 2 is a conceptual diagram illustrating a mansion creation and feedback information flow according to the present invention;
3 is a block diagram illustrating a structure and a connection relationship according to the first embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention.
4 is a block diagram illustrating a structure and a connection relationship according to a second embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention.
FIG. 5 is a block diagram illustrating a structure and a connection relationship according to a third embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention. FIG.
6 is a flowchart showing a flow according to the first embodiment of the policy decision support method using the SNS integrated solution,
7 is a flowchart showing a flow according to a second embodiment of a policy decision support method utilizing an SNS integrated solution,
8 is a floor chart showing the flow of a questionnaire survey that can be added to the method of policy decision support utilizing an SNS integrated solution.

The present invention relates to a CRM (Customer Relationship Management) system in which a company or an organization analyzes and integrates novel media data related to consumers to maximize customer-oriented resources and plans, supports, and evaluates marketing activities based on the characteristics of the customer .

Specifically, by actively managing consumers by segmenting consumer data collected through social media, consumers are classified in detail based on databases including mansions on information and SNS, and effective and efficient marketing Strategy.

For an effective CRM implementation, a database that can be communicated with consumers should be constructed, and the characteristics (opinions, inclinations) of the consumers should be analyzed through the database to predict individual behaviors of consumers and link them with various policy channels.

In the past, financial offline companies such as banks and securities used computer application technology to create subscriber profile and transaction specification data and build a call center. Recently, however, CRM has been attempted due to the rapid development of social media.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings.

FIG. 1 is a conceptual view illustrating an incoming information flow according to the present invention. FIG. 1 illustrates an inbound process concept of the present invention in which data collected through various SNSs are integratedly managed and received, distributed, and processed in real time.

FIG. 2 is a conceptual diagram illustrating a mansion creation and feedback information flow according to the present invention. FIG. 2 shows the concept of an outbound process of the present invention for creating a mansion or a questionnaire and sending it out to a plurality of SNSs and collecting feedback. The process will be described with detailed configuration.

FIG. 3 is a block diagram showing a structure and a connection relationship according to a first embodiment of a policy decision support system utilizing an SNS integrated solution of the present invention. The SNS coordinator 101, the information classifier 102, A processing unit 104, an information extracting unit 106, an analyzing unit 107, and a reporting unit 105, as shown in FIG.

The SNS interworking unit 101 is configured to collect data including mansions and user information in cooperation with a plurality of SNSs. The SNS interworking unit 101 includes APIs provided from SNS such as twitter, facebook, me2day, (Application Program Interface) and the user information that created the mansion or collects the created mansion on the SNS.

The user information includes all personal information that can be displayed on the SNS, such as ID, name, sex, and age of the mansion creator.

The information classification unit 102 is configured to assign classification codes according to the contents of the mans data collected through the SNS interworking unit 101. Various classification standards can be applied to the information classification unit 102. In the present invention, The code is categorized into questions, complaints, and notices, and classified as other or discarded data if the content falls outside the classification criteria.

The process of assigning a classification code may be such that a user makes an ending point when the mansion is created and automatically assigns a classification code thereto. However, a method of assigning a classification code by directly confirming contents of the mansion contents Can also be used.

The transmitting unit 103 is configured to transmit the data having the classification code assigned thereto by the information classifying unit 102 to the manager designated by the classification code. The transmitting unit 103 processes the contents of the classified classified proposal, inquiry, complaint, To the appropriate department and person in charge. To do this, designation of the person in charge of classification and establishment of processing authority should precede.

The processing unit 104 is configured to receive a reply from a designated administrator for data received through the transmission unit 103 and to display the received data on the social network service through the SNS interworking unit 101, To communicate with users and reflect the user's voice in management.

The reporting unit 105 is configured to generate and output summary information including a status of data collected through the SNS linking unit 101, a classification code, a designated administrator, and an answer status of the processing unit. It is possible to see at a glance information such as opinion analysis, distribution of Voice of Customer (VOC) processing, processing list of the person in charge by classification code, processing status and response processing rate.

The information extracting unit 106 extracts a mansion including a set keyword from the data collected through the SNS linking unit 101. The information extracting unit 106 extracts a mansion reflecting a public opinion together with a reference to a main keyword set by the administrator It will automatically scrape. For example, if you want to check the response to a new policy, you should set the keyword that indicates the policy as the main keyword so that users collect it when creating the mansion containing the main keyword and check the response. At this time, a keyword indicating the likelihood or likelihood of the policy may be set together with the keyword, thereby extracting a mansion indicating favorability of the policy and a mansion indicating a feeling of discomfort.

The analysis unit 107 is configured to generate analysis information by organizing the data extracted through the information extraction unit 106 according to the passage of time for each keyword, And so on, so that the administrator can more easily understand.

At this time, the reporting unit 105 notifies the analyzing unit 107 of the status of data collected through the SNS linking unit 101, summary information including the classification code, the designated administrator, and the response status of the processing unit 104 The analysis information is transmitted to the designated manager and output.

FIG. 4 is a block diagram illustrating a structure and a connection relationship according to a second embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention. In the first embodiment illustrated in FIG. 3, A tendency evaluation unit 109, a reevaluation unit 110, and an influence analysis unit 111 are added. The description of the same configuration that performs the same function as the first embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention described above will be omitted in the following description.

The setting unit 108 is configured to give trend information to a user who created data collected through the SNS linking unit 101. At this time, the propensity information means a non-favorable tendency referred to as friendship or an ANTI, which can be automatically extracted through a keyword including a friendly or unfriendly meaning. However, in the initial stage, It is more accurate to give the tendency information about the non-favoritism.

In this way, more systematic communication management can be achieved, such as granting a privilege to the users of friendly tendencies, inducing them to have a favorable tendency by systematically managing the users of non-favorable tendencies, and sanctioning users who write malicious mans have.

The propensity evaluation unit 109 assigns propensity scores to the user of data sharing the user's mansion to which the propensity information is given via the setting unit 108, and gives the propensity information through the propensity score.

Since a mansion having the same tendency or sympathy with itself is shared on the SNS, the user who shares the user mansion to which the tendency information is given through the setting unit is given the tendency information through the score of the same tendency.

The re-evaluating unit 110 is configured to re-assign the tendency information by correcting the tendency score according to whether the keyword is included in the user's apartment provided with the tendency information. The re- A score can be given to the enemy, and a method of deducting the score given when sharing a mansion having opposing inclinations can be applied.

If the tendency score of favorable personality is very high, it can be classified as VIP, and if the tendency score of unfavorable personality is very high, it can be treated such as to express complaints or resolve complaints about products.

The influence analyzing unit 111 analyzes the user information of the data collected through the SNS interworking unit 101 and evaluates the influence using the number of friends or followers on the SNS to give influence information. In other words, the fact that a specific user has a high influence means that the created web site is exposed to a large number of users, so that it can be easily promoted and communicated by focusing on the influential users.

In the second embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention, the reporting unit 105 analyzes the influence information generated through the influence analysis unit 111 and the analysis result of the analysis unit 107 A function of transmitting the summary information obtained by processing the information to the selected manager is added.

FIG. 5 is a block diagram illustrating a structure and a connection relationship according to a third embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention. In the first embodiment illustrated in FIG. 3, questionnaire creation, distribution, An investigation unit 120 is added. In the following description, the same components as those of the first embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention described above will not be described.

In the third embodiment of the policy decision support system utilizing the SNS integrated solution of the present invention, the inquiry unit 120 specifically comprises a message transmission unit 121, a message reception unit 122, and a statistics unit 123.

The message sending unit 121 sends a questionnaire created by an administrator through the SNS interworking unit 101. [ For example, when an institution establishing a policy for preventing school violence wants to conduct a questionnaire on school violence for policy establishment, a questionnaire including a questionnaire made by a manager is transmitted to the SNS through the SNS interworking unit 101 To the users.

The message receiving unit 122 reacquires the questionnaire created by the user through the SNS interworking unit. That is, the questionnaire in which the questionnaire response is generated from each user who has received the questionnaire is collected again through the SNS interworking unit 101.

The statistics unit 123 analyzes the re-collected questionnaire contents, generates statistical information, and transmits the statistical information to the administrator. Since most of the questionnaires are made in a multiple choice or short answer form, the answers to the items are collected and processed into statistical information. In the case of the descriptive items, the questions are output separately.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings. The policy decision support method using the SNS integrated solution described below can be performed through the policy decision support system utilizing the SNS integrated solution of the present invention described above.

6 is a flowchart illustrating a flow of a policy decision support method using an SNS integrated solution according to a first embodiment of the present invention. It should be noted that the order of the steps may be changed.

In a first step (S 110), data including a mansion and user information is collected in cooperation with a plurality of SNSs.

That is, a user accesses a mansion coming in via an application program interface (API) provided from an SNS such as a twitter, a facebook, a me2day, etc., and user information that created the mansion. Name, gender, age, etc. of the author, and all personal information that can be identified on the SNS.

In the second step S 120, classification codes are assigned according to the contents of the collected data.

According to the present invention, the classified mansions are classified into proposals, inquiries, complaints, and notices, and the codes are assigned. In the present invention, If the content is out of order, it is classified as other or discarded data.

The process of assigning a classification code may be such that a user makes an ending point when the mansion is created and automatically assigns a classification code thereto. However, a method of assigning a classification code by directly confirming contents of the mansion contents Can also be used.

In a third step (S 130), the data to which the classification code is assigned is transmitted to the manager designated by the classification code. As described above, the contents of the classified mansions classified as proposals, inquiries, complaints, and reports should be handed to the relevant department and person in charge of handling or responding to the contents. To do this, designation of the person in charge of classification and establishment of processing authority should precede.

In the fourth step (S 140), a reply from the designated administrator is received for the data to be received and displayed on the social network service. The plurality of managers communicate with the user and the user's voice is reflected in the management.

In a fifth step (S 150), summary information including the status of data collected through a plurality of SNSs, the classification code, the designated administrator, and the response status of the processing unit is generated and output. By analyzing the collected data, it is possible to confirm information such as public opinion analysis, customer voice (VOC) processing distribution, processing list of the person in charge by classification code, processing status and response processing rate, etc. at a glance.

In the sixth step S 160, a mansion including a set keyword is extracted from data collected through a plurality of SNSs.

For example, if you want to check the response to a new policy, you should set the keywords that indicate the policy as the main keyword so that users When you create a mansion containing key keywords, you collect it and check the response. At this time, a keyword indicating the likelihood or likelihood of the policy may be set together with the keyword, thereby extracting a mansion indicating favorability of the policy and a mansion indicating a feeling of discomfort.

In the seventh step (S 170), the extracted data is organized according to the time lapse of each keyword to generate analysis information, and the analysis information is organized by a graph of the response of the user or the opinion of the user over time, .

In the eighth step (S 180), the analysis information is transmitted to the designated administrator and output. That is, the analysis information is transmitted to the designated manager together with the collected data status, the classification code, and the summary information including the designated manager and the answer status of the processing unit 104, and is output.

In a ninth step (S 190), trend information is given to a user who has created data collected through a plurality of SNSs.

At this time, the propensity information means a non-favorable tendency referred to as friendship or an ANTI, which can be automatically extracted through a keyword including a friendly or unfriendly meaning. However, in the initial stage, It is more accurate to give the tendency information about the non-favoritism.

In this way, more systematic communication management can be achieved, such as granting a privilege to the users of friendly tendencies, inducing them to have a favorable tendency by systematically managing the users of non-favorable tendencies, and sanctioning users who write malicious mans have.

In the tenth step (S 200), the user of the data sharing the user's mansion to which the propensity information is given is given a propensity score, and the propensity information is given through the propensity score. Since a mansion having the same tendency or sympathy with itself is shared on the SNS, the user who shares the user mansion to which the tendency information is given through the setting unit is given the tendency information through the score of the same tendency.

In the eleventh step (S 210), the propensity score is modified according to whether the keyword is included in the user's mansion to which the propensity information is given, and the propensity information is re-granted.

At this time, a method of assigning scores differently according to the number of times of sharing the apartment where the propensity information is given and the like, and subtracting the score given when sharing the apartment having the contrary propensity information can be applied. If the tendency score of favorable personality is very high, it can be classified as VIP, and if the tendency score of unfavorable personality is very high, it can be treated such as to express complaints or resolve complaints about products.

FIG. 7 is a flowchart showing a flow of a policy decision support method using an SNS integrated solution according to a second embodiment. FIG. 7 is a flowchart illustrating a first embodiment of a policy decision support method using the SNS integrated solution of the present invention Step S 190 to eleventh step S 210 of assigning and re-evaluating the propensity information are replaced by steps S 220 to S 230 for transmitting the influence information. In the following description, the same steps as those of the first embodiment of the policy decision support method utilizing the SNS integrated solution described with reference to FIG. 6 will not be described in detail.

In a first step (S 110), data including a mansion and user information is collected in cooperation with a plurality of SNSs.

In the second step S 120, classification codes are assigned according to the contents of the collected data.

In a third step (S 130), the data to which the classification code is assigned is transmitted to the manager designated by the classification code.

In the fourth step (S 140), a reply from the designated administrator is received for the data to be received and displayed on the social network service.

In a fifth step (S 150), summary information including the status of data collected through a plurality of SNSs, the classification code, the designated administrator, and the response status of the processing unit is generated and output.

In the sixth step S 160, a mansion including a set keyword is extracted from data collected through a plurality of SNSs.

In the seventh step (S 170), the extracted data is organized according to the time lapse of each keyword to generate analysis information.

In the eighth step (S 180), the analysis information is transmitted to the designated administrator and output.

In a ninth step (S220), the user information of the data collected through the plurality of SNSs is analyzed, and influence information is given by evaluating the influence using the number of friends or followers on the SNS.

In other words, the fact that a specific user has a high influence means that the created web site is exposed to a large number of users, so that it can be easily promoted and communicated by focusing on the influential users.

In the tenth step (S 230), the generated influence information and the summary information obtained by processing the analysis information are transmitted to the selected manager.

8 is a floor chart showing the flow of a questionnaire survey that can be added to the policy decision support method utilizing the SNS integrated solution. In the first or second embodiment of the policy decision support method using the SNS integration solution described above, . ≪ / RTI >

In the questionnaire survey, first, the questionnaire created by the manager is transmitted through a plurality of SNSs. (S 240). For example, when an institution establishing a policy for preventing school violence wants to conduct a questionnaire on school violence for policy establishment, the questionnaire including a questionnaire created by an administrator is sent to the SNS interworking unit 101, To the users of the SNS.

Next, the questionnaire created by the user is collected again through the SNS. (S 250). That is, the questionnaire in which the questionnaire response is generated from each user who has received the questionnaire is collected again through the SNS interworking unit 101.

Next, the re-collected questionnaire contents are analyzed and statistical information is generated and transmitted to the manager. (S 260) Since most of the questionnaires are made in a multiple choice or short answer form, the answers to the items are collected and processed into statistical information. In the case of the descriptive items, the questions are output separately.

It is to be understood that the invention is not limited to the disclosed embodiment, but is capable of many modifications and variations within the scope of the appended claims. It is self-evident.

101: SNS interworking unit 102:
103: Transmission unit 104:
105: Reporting section 106: Information extracting section
107: Analysis section 108: Setting section
109: tendency evaluation section 110: reevaluation section
111: influence analysis unit 120:
121: message transmission unit 122:
123: Statistics section S: SNS

Claims (10)

In a policy decision support system using social media,
An SNS interworking unit 101 for collecting data including a mansion and user information in cooperation with a plurality of SNSs;
An information classifying unit 102 classifying the classified data into suggestions, inquiries, complaints, reports, and others according to the contents of the mans collected through the SNS interworking unit 101, and assigning classification codes to the classified data;
A transferring unit 103 for transferring the data to which the classification code is given by the information classifying unit 102 to an administrator designated for each classification code;
A processing unit 104 receiving a reply from a designated administrator about data received through the transmission unit 103 and displaying the received data on the social network service through the SNS interworking unit 101;
A reporting unit 105 for generating and outputting summary data including a status of data collected through the SNS interworking unit 101, a classification code, a designated administrator, and an answer status of the processing unit 104;
An information extracting unit (106) for extracting a mansion including a keyword set by an administrator and words indicating a likelihood and likelihood among data collected through the SNS linking unit (101);
An analyzing unit 107 for analyzing the data extracted by the information extracting unit 106 according to time lapse of each keyword and generating analysis information;
A setting unit (108) for giving affinity information about a friend or a friend to the user who created the data collected through the SNS linking unit (101);
A tendency evaluation unit (109) for giving tendency points to users of data sharing the user's apartment provided with tendency information through the setting unit (108) and giving the tendency information through the tendency points;
A re-evaluating unit (110) for re-assigning the tendency information by correcting the tendency score according to the presence or absence of the keyword set for the apartment of the user to which the tendency information is given;
An influence analyzing unit 111 for analyzing user information of data collected through the SNS interworking unit 101 and evaluating the influence using the number of friends or followers on the SNS to give influence information; And,
The reporting unit 105 reports the analysis information of the analysis unit 107, the influence information generated through the influence analysis unit 111, and the summary information obtained by processing the analysis information of the analysis unit 107, And outputting the result to the policy decision support system using the SNS integrated solution.
delete delete delete The method according to claim 1,
A message sending unit 121 for sending a questionnaire created by the administrator through the SNS interworking unit 101, a message receiving unit 122 for re-collecting the questionnaires created by the user through the SNS interworking unit 101, An examination unit 120 comprising a statistical unit 123 for analyzing questionnaire contents and generating statistical information and transmitting the statistical information to an administrator; And a policy decision support system utilizing an integrated SNS solution.
In a consumer communication management method performed through a policy decision support system utilizing an SNS integrated solution,
Collecting (S 110) data including a mansion and user information in cooperation with a plurality of SNSs;
(S 120) classifying the classified data into proposals, queries, complaints, reports, and others according to the contents of the collected data;
(S 130) transmitting the data to which the classification code is given to the manager designated by the classification code;
A step (S 140) of receiving a reply from a designated administrator on the data to be received and displaying it on a social network service;
Generating and outputting summary information including a status of data collected through a plurality of SNSs, a classification code, and answers of a designated administrator and a processing unit (S 150);
(S 160) extracting a mansion including a set keyword among the data collected through a plurality of SNSs and a word indicating a likelihood and a liking;
A step (S 170) of arranging the extracted data according to the time lapse of each keyword to generate analysis information;
Transmitting analysis information to a designated administrator and outputting the analyzed information (S 180);
A step (S 190) of imparting affinity information for a friend or a non-friend to a user who created data collected through a plurality of SNSs;
A step (S 200) of giving a tendency to a user of data sharing a user's mansion to which tendency information is given, thereby imparting tendency information to the tendency information;
A step (S 210) of re-assigning the tendency information by correcting the tendency score according to whether the keyword included in the user's apartment provided with the tendency information is included or not;
Analyzing user information of data collected through a plurality of SNSs and evaluating the influence using the number of friends or followers on the SNS to give influence information (S 220);
(S 230) transmitting the generated influence information and the summary information obtained by processing the analysis information to the selected administrator; And a policy decision supporting method utilizing an integrated SNS solution.
delete delete delete The method according to claim 6,
A step (S 240) of sending a questionnaire created by an administrator through a plurality of SNSs;
Collecting the questionnaire created by the user through the SNS (S 250);
Analyzing the re-collected questionnaire contents to generate statistical information and transmitting the statistical information to the administrator (S 260); The method according to claim 1, further comprising:

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