KR101804400B1 - Search target evaluation and system through online contents collection - Google Patents

Abstract

The present invention relates to a system and a method for evaluating a search target through online content collection, and more particularly, to a method and a system for managing the reputation of an individual or a group through content management on a web site. The system includes a keyword management module, a target management module, a content retrieval module, a content analysis module, and a reputation management module.

Description

[0001] The present invention relates to a system and method for collecting online contents,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a system and method for evaluating a search target through online content collection, and more particularly, to a method and system for managing a reputation of an individual or a group through content management on the web.

As communication through online has expanded, problems caused by online bulletin boards have been increasing. In order to solve such a problem, in the past, attempts have been made to manage such as requesting deletion of bullshit of an online bulletin board. For example, in Korean Patent Application No. 10-2013-0033039, personal digital data stored on the Internet is searched in response to a deletion request of personal digital data, personal digital data is stored, and then personal digital data is deleted from the portal site server The deletion and blocking of the personal digital data is made by request.

The 'personal digital data' in the above-mentioned prior art means 'online data related to an individual' linked with a user ID on the on-line (refer to FIG. 6 and related description of Korean Patent Application No. 10-2013-0033039).

However, such a conventional technique simply stays on request to delete personal digital data stored on the Internet. By deleting only personal digital data, celebrities or politicians, such as celebrities or organizations (such as companies), can not only comment on writings and writings written by themselves (celebrities or organizations) There is a limitation in that it can not manage various posts such as articles, blogs, articles, and posts made by third parties, and further, it deletes only articles related to individuals or organizations online, There is a problem that it can not be done.

The present invention improves the problem of the prior art that simply searches for personal digital data on-line and simply requests deletion, searches for a random content on-line and classifies it to classify the overall reputation of an individual or group online And to provide a method and system for managing and improving the system.

The present invention provides a method of managing evaluation of an object to be searched through online content collection / analysis, comprising: an online contents collection step of selecting a search keyword and collecting online contents using the selected search keyword; And classifying the collected online contents according to a predetermined classification rule and assigning a rating to the collected online contents. In the content acquisition step, the search keyword for search uses the one previously stored in the keyword database. The content collection step includes a keyword database building step. The keyword database building step includes collecting and storing one or more keywords for collecting online contents. A keyword attribute assigning step of assigning an associated attribute value to each of the collected keywords; And a control unit.

The present invention may further include a subject attribute information providing step of assigning attribute information to a person to be searched. A matching keyword extracting one or more keywords having attribute information matching the subject attribute information from the keyword database, Extraction step; And a control unit.

In addition, the content collecting step performs a method of searching for a content using the extracted matching keyword.

The rating of the content is obtained by analyzing the content of the content, assigning a rating to the content, calculating the number of keywords exposed in the content to be analyzed, and classifying the rating of the content Is provided.

The rating may include a content rating determination step of calculating the number of keywords exposed in the content to be analyzed and giving a rating of the content based on the number of times of exposure of the exposed keyword by rating; And a content deletion processing step of performing on-line deletion processing on contents having a predetermined grade among contents determined to be classified in the rating determination step.

The method of evaluating a search target through online content additionally includes a reputation management step and a reputation management reporting step, wherein the reputation management step includes a step of, on the basis of contents rated in the rating step, A flat grade assigning step of giving a flat plate of the flat plate; Wherein the reputation management reporting step comprises:

And generating and reporting a report for reporting to the subject by generating information on the result of the reputation management step.

Further, the reputation management step of the present invention may include: a content deletion processing step of performing on-line deletion processing on contents having a predetermined grade among the determined contents; And a control unit.

The system of the present invention for performing the above-mentioned method comprises: a content acquisition module for collecting online content for reputation management; A contents analyzing module for analyzing contents of the collected online contents and assigning ratings; A reputation management module that assigns a reputation on-line to a subject based on the content to which the rating is attached, and generates a report on the reputation management result; A target person management module that manages information and attribute information of a management subject in a database; And a database module for storing data for the online contents, keywords, and reports in a database.

The content collection module of the present invention includes a search keyword management module for collecting keywords from online contents and constructing a primary keyword database by assigning attribute values to the collected keywords; A content search module for searching for a match between an attribute value associated with the subject and an attribute value of the primary keyword database and extracting matching keywords from the primary keyword database; As shown in FIG. At this time, each keyword to which an attribute value is assigned is converted into a database and stored in the database module, and the matching keywords extracted from the primary keyword database are stored in the database module in the form of a database. In the content analysis module, the rating of the content is calculated by calculating the frequency of occurrence of the keywords installed in the keyword database of the content to be analyzed, calculating the number of keywords exposed in the content to be analyzed, The rating of the content can be given based on the number of exposures by the rating of the content.

The flat panel management module may further include: a content deletion processing module that performs on-line deletion processing on contents having a predetermined rating among the rated contents; As shown in FIG.

The present invention collects and analyzes online contents for a specific object, assigns a rating corresponding to the result to the analyzed information, and manages it by linking and managing the object, thereby improving the accuracy and the reputation management and improvement of the object.

1 is a block diagram briefly illustrating a method according to the present invention.
2 to 7 are views showing an embodiment of the present invention.
FIG. 8 is a view schematically showing a system configuration according to the present invention.
9 is a view schematically showing the overall configuration according to the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only a case of being "directly connected" but also a case of being connected with another connecting part in the middle, "As well as" wired and wireless network connections ". The word " step " or " step of ~ " to the extent that it is used throughout the specification does not mean " step for.

The same is true of the "procedure".

According to the present invention, in a reputation management system through content collection,

A content collection module for collecting online contents for reputation management;

A contents analyzing module for analyzing contents of the collected online contents and assigning ratings;

A reputation management module that assigns a reputation on-line to a subject based on the content to which the rating is attached, and generates a report on the reputation management result;

A target person management module that manages information and attribute information of a management subject in a database;

A database module for storing data for the online contents, keywords, and reports in a database; As shown in FIG.

Before describing the present invention in detail, an overview of the system and method of the present invention will be described.

1. Overview of the System and Method of the Invention

1.1. Data to Analyze: Online Content

The evaluation and system of the search object through the online contents collection according to the present invention use contents on-line as an object. The online content may include any web site, portal, bulletin board, blog post, etc., and the form may be text, picture, video, photo data or a mixture of them. Data such as a picture, a video, and a photograph may be combined with text such as a caption and an explanatory text.

1.2. Controlled object: Evaluation / reputation of online search object

The management object of the present invention is an online reputation of an individual or an organization that is subject to reputation management. In the present invention, a reputation on-line may mean a result of a qualitative analysis as to how the contents on-line are evaluated for the individual or group.

1.3. Analysis and Evaluation of Data to Analyze: Qualitative Analysis of Online Content

In the present invention, the online contents are graded through qualitative analysis of the online contents. Analysis can be divided into objective analysis and subjective analysis.

(1) objective analysis

Objective analysis means that the system of the present invention automatically classifies predetermined contents. For example, the system of the present invention automatically classifies how certain online content is being evaluated for the person or entity being managed, into one or more classes.

(2) Subjective analysis

The system operator of the present invention can adjust the results of the objective analysis according to subjective judgment. This process is called subjective analysis. For example, if the rating of a specific online content is determined by the objective analysis, the system operator can change the rating subjectively. This is called subjective analysis.

(3) Evaluation

The present invention evaluates online contents according to the objective analysis and subjective analysis described above, and assigns ratings to the respective contents. The predetermined online contents can be evaluated and classified to a predetermined rating according to a predetermined rating classification standard.

1.4. Reputation management: management of analysis results

The system and method of the present invention manages the online reputation of an associated object, i. E., An individual or an organization, according to the rating of each content as evaluated above.

In order to provide such a reputation management method and system, the present invention provides an online content acquisition step (S100) for collecting online contents by selecting a search keyword and using a predetermined search keyword, A content management and reputation management step of classifying according to classification rules and analyzing and classifying the collected orin contents to be assigned a rating (S200), managing the searched and rated contents, (S300), generating a report on the result of the execution, and generating and reporting a report (S400).

Hereinafter, each step of evaluation of the search object through online content collection will be described in detail.

2. Evaluation of search object through online contents collection through online contents search according to the present invention

2.1. The online content collection step (S100)

In the present invention, content collection for reputation management is performed through Web crawling, search for a portal site, and the like, and is collected through the following procedure.

end. The construction step of the keyword database (S110)

In the present invention, content collection for flat management is performed by selecting one or more keywords included in the keyword database as search keywords for content search.

To this end, the present invention includes a keyword database building step (S110) for constructing a keyword database.

The keyword database can be constructed through the following procedure.

(1) Keyword collection step (S112)

The keyword collection step is a step of collecting and storing search terms input to the search API provided by the portal site in order to collect the online contents. The keyword collection step includes a real-time search word list, an associated search word list (FIG. 2) List, individual keyword list, and the like.

(2) Keyword Attribute Granting Step (S114)

And assigning attribute values to the collected keywords. As shown in FIG. 3, the attribute values may be assigned attribute values such as birth year (age), sex, occupation, occupation, etc. to individual keywords. At this time, an individual or a group name associated with the keyword may be given as one of the attribute values of the specific keyword.

One or more of the attribute values assigned to the keyword attribute can be assigned to match the subject attribute information described later.

(3) Keyword classification step (S116)

In the present invention, not only attributes but also grades can be assigned to collected keywords. For example, a negative B (black) keyword, a positive W (white) keyword, a G (gray) for a positive or negative keyword, and a S (spam) for a very malicious keyword .

(4) Storing the keyword (S118)

The step of storing the keywords assigned the attribute values into a database of the server and storing them in a storage device of the server.

Thus, the steps S112, S114, S116, and S118 are performed to complete the construction of the primary keyword database. The primary keyword database can undergo a continuous update process.

I. In step S120,

In the present invention, a search keyword is selected from the above-described keyword database in order to search online contents related to a target person. The selection of the search keyword is performed by matching an attribute value related to the target person with an attribute value of the keyword in the keyword database and extracting the keywords having the same attribute value from the keyword database.

In order to process such a process, the following detailed procedure is performed.

(1) Subject attribute information providing step (S122)

And giving attribution information to the management subject. For example, as shown in FIG. 4, attribution information such as age, sex, occupation, and occupation is given to the management subject.

(2) Matching Keyword Extraction Step (S124)

After the attribute information is given to the management subject, the attribute value assigned to the management subject is searched in the keyword database. At this time, a keyword having a matching attribute value is selected and extracted as a matching keyword.

5, when sex, age, and occupation are input as attribute values for the subject 'Kim Ji-bum' in order to select a search keyword for collecting contents for the subject 'Kim Ji-bum' Extract matching keywords. In FIG. 5, 'traffic accident' is extracted as a matching keyword for all gender, age, and occupation, and 'drinking driving' for a keyword matching the age and the age, Is detected. At this time, if the name or the name of the person / organization as the target is given as one of the attribute values of the specific keyword, the keyword can be extracted by the target person and the matching keyword.

At this time, it is possible to determine how many matching attribute values are to be extracted by a matching keyword or which attribute values are matched to a matching keyword, depending on a setting value of a manager or a system setting value.

(3) Search expression setting step (S126)

The present invention may further include setting a retrieval expression for retrieving contents based on the extracted matching keyword.

The search expression may be set only with the matching keyword or may be set by combining the name of the subject with the matching keyword. In addition, a search expression may be constructed using a conventional search operator according to the correlation between two or more matching keywords.

The retrieval expression setting step will be described with reference to FIG.

The retrieval expression is set by combining the matching keywords extracted in operation S124 using a retrieval operator. According to the purpose of the content collection, a search expression can be set to include a negative keyword and not include an affirmative keyword. In order to search all contents, only a subject name can be used as a keyword to set a search expression.

All. In the content retrieving step (S130)

The present invention includes a content searching step of searching for a content using a matching keyword extracted in the search keyword selecting step (S120) or a search formula set based on a matching keyword. A content acquisition method of the present invention for constructing a keyword database and extracting a matching keyword associated with a target person from the keyword database and setting a search expression to search for a content is an online content search method .

2.2. Analyzing and rating the collected online contents (S200)

The collected online contents are analyzed and their ratings are given.

As in the keyword classifying step S116, classes can be classified according to contents of individual contents. Class B (black) for content with negative content, rating W (white) for positive content, G (gray) for content that is neither positive nor negative, and S (spam) for highly malicious content.

The content rating assignment may include analyzing contents of the contents (S210) and assigning a rating based on the analyzed contents (S220).

end. In the contents content analysis step S210,

And analyzing the contents of the individual contents. The analysis of the contents of the individual contents can be performed by calculating the frequency of existence of the keywords embedded in the keyword database in the contents.

(1) Keyword exposure frequency calculation step S212 in the keyword database

At this time, the number of searched keywords is calculated from the keywords to be analyzed in the keyword database. This is repeated to calculate how many times each of the keywords loaded in the keyword database is exposed in the content to be analyzed.

(2) calculating the exposure frequency of the keyword included in the search formula (S213)

In the present invention, unlike the step S212, the frequency of exposing the keywords in the content to be analyzed may be calculated using only the keywords included in the search formula.

If the method of step S213 is selected, the analysis target content can be analyzed faster than the method of step S212.

I. In step S220,

And assigning a rating to each of the content analyzed contents as described above.

As with the keyword classification step S116, the contents classification may be classified according to contents of individual contents. Class B (black) for content with negative content, rating W (white) for positive content, G (gray) for content that is neither positive nor negative, and S (spam) for highly malicious content.

The determination as to whether the content of the content to be analyzed is positive or negative may be determined according to the rating of the keywords exposed to the content in step S210. For example, if the keyword of the class B is exposed more than a predetermined number of times in the content to be analyzed, the analysis target content can be classified into the class B. If the class B keyword and the class W keyword are similar in the number of exposures, . ≪ / RTI >

(1) Grading rule determination step (S222)

A rule for assigning a rating of the content can be determined.

For example, when the frequency of exposure of the keywords of the classes B, G, W, and S in a predetermined analysis target content is expressed as a percentage (%), the frequency of the class B keyword exposure exceeds 50% In this case, the content can be set to a rule of B rank.

In another embodiment, in the case of an S-rank keyword, a rule may be set to treat the content as a grade S if only one exposure occurs.

In another embodiment, a content rating of more than 30% is determined with a keyword rating of more than 30%, but if the keyword has a rating of more than 30%, it is determined that the content rating is G Rules can be set.

The rule for assigning the rating of the content is basically determined to be determined by the number of times the keyword of the corresponding grade is exposed compared to the total number of keyword exposures, but may be implemented in various forms without being limited to the above embodiments.

(2) Grading sensitivity control step (S223)

The content rating assigning step may further include a grading sensitivity adjusting step. This is a step of adjusting and determining how to assign a rating to the content when a plurality of keywords are exposed in one content to be analyzed.

For example, it can be said that the grading sensitivity has levels 1 to 5, and the higher the level, the more the content is classified as being negative. If the content of a certain analysis subject is exposed to four keywords of class B and the keyword of class W is exposed to low sensitivity, the corresponding content may be set to a class W, and if the sensitivity is set high, Can be set. If the sensitivity is set at the highest level, it can be classified as the content of the class B even if only one class B keyword appears regardless of the number of exposures of the class W keyword.

(3) content rating determination step (S224)

After the number of keywords exposed in the content to be analyzed is calculated in the contents content analyzing step (S210), the content rating is determined according to the rating rules determined in the rating rule determination step and / or the rating sensitivity adjustment step.

The content rating may be determined, for example, as B, G, W, S, as described above, but is not limited thereto.

In this case, grades B, G, W, and S, as well as the keyword rank, are grades B (Black) for content that is not good for the subject, grades G (gray) for good and bad grades The rating W (white) for the content of the evaluation, and the rating S (spam) for the highly malicious evaluation.

2.3. Content management and reputation management step (S300)

The retrieved and rated content can be stored separately and managed. The managed content can be re-adjusted and stored, and the subject's reputation level is assigned based on the number of ratings of the rated content. A report can be generated and provided to a person who has been given a reputation rating.

The detailed procedure for constructing such rating content management and reputation management steps will be described below.

end. In the content storage and update step S310,

The graded content is stored separately and is continuously managed. The content to be stored is stored in association with the management subject, and the list together with the online address (URL) where the content is located is stored together with the updated content list. .

I. In step S320,

The present invention may further include a content rating adjustment step of continuously managing the content with the rating and adjusting the rating. The adjustment of the rating may be performed by adjusting the rating sensitivity in step S222, and the system administrator may manually adjust the rating of the content.

The grade-adjusted content is updated and stored in the update step in S310.

All. In step S330,

Based on the determined content, online reputation is given to the subject. Reputation can be numerically given based on the amount (number) of content by grade B or other grade that is negative content.

For example, if the number of searched and rated content is 100, and the total amount of negative content is 60, then 60% of the online reputations are rated as having a negative reputation have.

la. In the reputation management step S340,

The granted reputation class can be managed on a per-subject, per-day basis. Here, "date" refers to the date on which the search was conducted.

The system of the present invention is capable of managing reputation class records associated with the subject. The reputation grade records are managed by the reputation rating of the content search society, so that it can manage the change of the subject's reputation.

hemp. In the content deletion processing step S350,

The reputation management step may further have a content deletion processing step.

The contents deletion processing is for performing on-line deletion processing on contents having a predetermined grade among the contents S224 of which the grade is determined. The contents deletion processing may include a deletion contents determination step (S352), a deletion request step (S354), and a deletion request processing result monitoring step (S356).

(1) Deletion content determination step (S352)

The content to be deleted is determined with respect to the content whose rating is determined. The deleted content can be determined as deletion grade content, for example, with respect to the content that is typically determined as the grade S (spam).

Content determined as deleted content may be requested to be deleted from the external portal site, the bulletin board site, and the SNS site in the deletion request step described below.

(2) Deletion request step (S354)

And deletes the content determined as the deleted content. The deletion request is made by transmitting an online address (URL) where the corresponding content stored together with the content list is stored in the online content storage and update step S310 of the content to the corresponding site manager or management server. The site may be a portal site, a bulletin board site, or the like, in which content requested to be deleted is stored.

(3) monitoring the deletion request processing result (S356)

Stores the list of contents requested to be deleted together with the online address (URL), and receives and monitors the processing result at a predetermined period or at a time designated by the system. The processing result may be processing result information received from the manager or the management server of the requested site, and the processing result information includes e-mail information and the like.

2.4. In the reputation management reporting step (S400)

The present invention generates information on the results of collecting the online contents (S100), analyzing and rating the collected online contents (S200), rating content management, and reputation management (S300) And a reputation management reporting step (S400) for generating and reporting a report that can be performed.

In the reputation management reporting step, the information of the reputation management process according to the present invention is summarized, and the report information is generated, and it is possible to display the report information in the My page module of the system set for each management object. mail, fax, and the like.

end. The report information collection step (S410)

The report information collection step is a step of collecting information for generating a report for transmitting the obtained reputation management result to the subject while proceeding with steps S100 to S300.

The report generation information for generating a report may include contents classified in the contents content analysis step S210 and classified in the content classification step S220. And may also include information on the graded contents in the reputation rating assigning step (S330).

I. The report generation step (S420)

In the report generation step, a report is generated based on the report generation information collected in the report information collection step (S410).

7 is a view showing an embodiment of a generated report.

Referring to FIG. 7, the reputation management report can display the distribution of the content classes by date in which the reputation management is performed on the subject. Although not shown, the rating of the entire reputation can be classified and displayed according to a predetermined criterion .

Based on this reputation management report, it is possible to analyze the change in the online reputation of the target by date.

All. The report transmission step (S430)

The report transmission step is a step of transmitting the generated report to the subject. Transmission of the report can be transmitted to e-mail, fax, offline transfer destination (address) of the previously registered subject.

8, the reputation management system through online content retrieval according to the present invention includes a content acquisition module 100, a content analysis module 200, a reputation management module 300, a subject management module 400, Module 500 as shown in FIG.

 The system of the present invention performs content collection, reputation management, etc. in connection with an external online portal server 600, and searching through an online portal can be performed using an API module provided by the portal.

The system of the present invention can perform reputation management through online content search according to the present invention described below.

Hereinafter, each configuration will be described in more detail.

The content acquisition module 100 may be a module for collecting online content for reputation management.

The content acquisition module 100 may include a search keyword management module 110 and a content search module 120.

9, the search keyword management module 110 performs the procedures of the keyword collection step S112, the keyword attribute assignment step S114, and the keyword classification step S116, The keyword DB 210 can store the keyword.

In more detail, the search keyword management module 110 collects and stores search terms input to the search API provided by the portal site in order to collect online contents. The search keyword management module 110 includes a real-time search word list provided by the Internet portal site, Keywords can be collected and stored from lists, related query lists, individual / group issue keyword lists, and the like. Further, after the keyword is collected, an attribute value is assigned to the collected keyword. For example, attribute values may be birth year, sex, occupation, occupation, etc., and these attribute values may be assigned to individual keywords. At this time, an individual or a group name associated with the keyword may be given as one of the attribute values of the specific keyword.

In addition, the search keyword management module 110 may assign not only an attribute value but also a rating to the collected keyword. For example, grades B (black) for a negative keyword, grade W (white) for a positive keyword, G (gray) for a keyword that is neither positive nor negative, and S (spam) for a very malicious keyword can do.

In this manner, the keywords having attribute values and classifications can be stored in the database 500 of the database module 500 in a database.

Through the above process, the search keyword management module 110 can construct a primary keyword database, and the primary keyword database can be updated through a continuous updating process.

For this, the search keyword management module 110 may be configured as a separate server module. When the reputation management system of the present invention is operated as one operating server, Module.

The content search module 120 may perform the search keyword selection step S120 and the content collection step S130. The content collected in the content collection step S130 performs a database and the content collected in the content collection step S130 may be stored in the content DB 520 of the database module 500. [

More specifically, attribute information such as age, sex, occupation, occupation and the like can be given to the management subject first. After the attribute information is given to the management subject, the attribute values assigned to the management subject are searched in the keyword database constructed in the keyword search management module 110, and the keyword having the matched attribute value is selected as the matching keyword and extracted. In this case, a criterion for extracting a plurality of matched attribute values with matching keywords, or extracting matched keywords with matching keywords may vary depending on a setting value of a manager or a system setting value .

After retrieving the matching keyword, a retrieval expression for retrieving the contents can be set based on the extracted matching keyword. The search expression may be set only by the matching keyword, or may be set by combining the name of the target of the matching keyword. In addition, a search expression may be constructed using a conventional search operator according to the correlation of two or more matching keywords.

The search formula set in this manner may be configured to include negative keywords according to the purpose of content collection and not include positive keywords. In order to search all the contents, only the subject name can be set using keywords.

Accordingly, the content search module 120 can search for the content using the search formula after setting the search formula through the process described above. In addition, the retrieved contents can be stored in the contents DB 520 of the database module 500 in the form of a database.

The content analysis module 200 can analyze the contents of the collected online contents (S210) and assign ratings (S220).

The class assigned to the content may be stored in association with the content stored in the content DB 520 of the database module 500.

More specifically, first, the method of analyzing the content contents can be used in one of two ways.

In the first method, the number of searched keywords is calculated using the keywords loaded in the keyword database in the content to be analyzed. This process is repeated a plurality of times to calculate how many times each of the keywords loaded in the keyword database is exposed in the content to be analyzed.

In the second method, only the keywords included in the search formula are used to calculate the frequency with which the keywords are exposed in the content to be analyzed.

When using the second method, it is possible to analyze the content to be analyzed faster than the first method.

After analyzing the content of the analysis target content, it is possible to assign a rating according to the content of each analyzed content. Grade B (black) for content with negative content, rating W (white) for content with positive content, G (gray) for content that is neither positive nor negative, and S (spam) for highly malicious content .

The determination as to whether the content of the analysis target content is positive or negative can be made according to the rating of the keywords exposed to the content. For example, if the keyword of the class B is exposed more than a predetermined number of times in the content to be analyzed, the class B can be assigned to the analysis target content. If the class B keyword and the class W keyword are similar in number of exposures, .

The class assigned to the content can be stored in association with the content stored in the content DB 520 of the database module 500. [

Referring to FIG. 9, the reputation management module 300 may perform a content management and reputation management step S300, a report information collection step S410, and a report generation step S420.

As shown in FIG. 8, the flat panel management module 300 may include a rating and update module 310 and a content deletion processing module 320.

The rating granting and updating module 310 may separately store and distribute the graded content and manage it continuously. The content stored in the rating and renewal module 310 is stored in association with the management object, and the online address (URL) and the like where the content is located together with the list are stored together, And can update the stored content list.

In addition, it is possible to give online reputation to the subject based on the contents having the rating. The reputation grant can be based on the number of content that is numerically negative, B or other grade-specific content.

For example, if the number of negative content is 60 out of 100, which is searched and rated, 60% of the online ratings are rated as having a negative reputation in evaluating the overall reputation .

In addition, the contents having the reputation rating can be managed by the target person and the date, and it is possible to manage the change in the reputation of the subject by managing the rating level according to the content search society.

In addition, the reputation management module 300 may generate a report so that the information of the reputation management performed in this manner can be transmitted to the subject.

In order to generate a report, the content analysis module 200, the rating and update module 310 may collect report generation information including information about the processed contents. A reputation management report can be generated using the collected report generation information. The reputation management report can display the distribution of the content classes according to the date on which the reputation management is performed on the subject, and can classify and display the rating of the entire reputation according to a predetermined criterion. Based on the generated reputation management report, it is possible to analyze the change in the online reputation of the subject by date. Also, the reputation management report can be transmitted to e-mail, fax, offline transfer destination (address) of the previously registered subject so that the subject can confirm it.

The content deletion processing module 320 may perform the content deletion processing step S350. The content deletion processing module 320 may transmit a deletion request to a content determined as deletion grade according to a predetermined grade, in association with an external portal site / SNS manager account, administrator e-mail, and the like, .

The deletion request may be processed by transmitting an online address (URL) associated with the content.

Also, the content deletion processing module 320 can receive the processing result of the content requested to be deleted. Reception of the deletion processing result can be directly received from the external portal site / SNS, or received via e-mail, facsimile, or correspondence. In addition, the administrator can input the received processing result and store the result in the subject information DB 540. The deletion processing result stored in the subject person information DB 540 may be stored in association with the subject by the subject management module 400. [

The target person management module 400 can manage and manage the management target person as a database. In addition, referring to Fig. 9, it is possible to perform object person attribute information giving step (step S122) of giving attribute information to the management subject.

As shown in FIG. 8, the subject management module 400 may include a subject information input module 410, a subject information management module 420, and a report management module 430.

For example, as shown in FIG. 4, the subject person input module 410 receives subject information such as a name for a person to be administered, which is an individual or a group, , Sex, occupation, occupation, and the like.

The subject information management module 420 manages subject information and attribute information received from the subject person input module 410 and can link and manage the subject's reputation analysis result in association with the reputation management module 300 . In addition, the subject information may be separately stored and managed in the database module 500 together with the reputation management information.

The report management module 430 can manage and transmit reputation management reports for each subject.

8, the database module 500 includes a keyword DB 510, a content DB 520, and a report DB 530, and stores data for online contents, keywords, and reports in a database .

100: content acquisition module
200: content analysis module
300: reputation management module
400: target person management module
500: Database module

Claims (16)

A method for managing a search target evaluation through online content collection,
A keyword collection step of collecting and storing one or more keywords for collecting online contents related to a management object;
A keyword attribute assigning step of assigning at least one attribute value to each of the keywords collected in the keyword gathering step;
A subject attribute information providing step of assigning attribute information to a management subject;
A matching keyword extracting step of selecting one or more keywords having attribute information assigned to the management object among the stored keywords as an attribute value;
A retrieval expression setting step of setting a retrieval expression to include the matching keyword;
An online contents collection step of collecting online contents using the set search formula;
A content rating assigning step of classifying the collected online contents according to a predetermined classification rule and assigning a rating;
A method of managing evaluation of a search object through online contents collection.
delete The method according to claim 1,
A keyword rating step of assigning a predetermined rating to each of the keywords collected in the keyword collection step;
The method comprising the steps of:
The method according to claim 1,
Collecting the keywords in the keyword collecting step includes:
Wherein the real-time search words constituting the real-time search word list provided by the Internet portal site are collected as keywords.
delete delete The method of claim 3,
The content rating step includes:
A first keyword exposure frequency calculation step of calculating the number of times the keywords assigned the rating in the keyword rating step are included in the online contents collected in the online content collection step; Or a second keyword exposure frequency calculation step of calculating the number of times that the matching keywords included in the search formula are included in the collected online contents; , ≪ / RTI >
Assigning a rating of the content based on the number of times of exposure of each of the keywords exposed in the first keyword exposure frequency calculation step or the second keyword exposure frequency calculation step; Wherein the search target evaluation management method comprises:
The method according to any one of claims 1 to 7,
A content deletion processing step of performing on-line deletion processing on contents to which a predetermined grade is assigned among the contents classified in the content classification step; Wherein the online content acquisition method further comprises:
delete The method according to claim 1,
A rating level assigning step of assigning a reputation on-line to an object to be managed on the basis of the contents assigned the rating in the content rating assigning step; A flat information generating step of generating flat information,
A reputation report generation step of generating a report including information generated in the reputation information generation step;
The method comprising the steps of: acquiring online content;
delete A search object evaluation management system for collecting online contents,
A search keyword management module for collecting search keywords, managing one or more attribute values and a predetermined rating for the collected search keywords, and managing the search keywords;
A target person management module for assigning one or more pieces of attribute information to a management target and managing attribute information connected to the management target;
A content search module for extracting at least one matching keyword having the same attribute value as the attribute information given to the management object from the keywords of the search keyword management module and configuring a search expression including the matching keyword to search for online content;
A content analyzing module for analyzing the contents of the collected online contents and assigning the rating of the contents;
A reputation management module for assigning a reputation on-line to a management subject based on the content assigned with the rating and generating a report on the result;
And a search target evaluation management system for collecting online contents.
delete The method of claim 12,
A database module for storing at least one of a keyword to which the attribute value is assigned, the matching keyword, the retrieved online content, or the generated report in a database; Wherein the search target evaluation management system comprises:
The method of claim 12,
In the content analysis module,
Wherein the rating of the content is given based on the number of times of exposure of the search keyword or the matching keyword exposed in the collected online content.
The method of claim 12,
Wherein the reputation management module comprises:
A content deletion processing module for performing on-line deletion processing on contents having a predetermined rating among the rated contents; Wherein the search target evaluation management system comprises:

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