APPARATUS AND METHOD FOR MANAGING RISK BASED ON PREDICTION ON SOCIAL WEB MEDIA

• US 20140172497A1
• Filed: 04/23/2013
• Published: 06/19/2014
• Est. Priority Date: 12/17/2012
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: KIM, Hyeon Jin, LEE, Chung Hee, OH, HYO-JUNG, JANG, Myung Gil, JO, Yohan, KIM, HyunKi, RYU, Pum Mo, HEO, Jeong, YOON, Yeo Chan, CHOI, Miran, CHOI, Yoonjae, PARK, Sang Kyu
• Application Number:
  US13/868,678
• Publication Number:
  US 20140172497A1
• Time in Patent Office: Days
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

An apparatus for managing risk in social web media in a prediction-based manner is provided, and includes a risk vocabulary management unit, which extracts and manages vocabulary to be managed as pertaining to risk from social web content, a risk issue prediction analysis quality extraction unit, which performs language analysis and sensitivity analysis, a risk prediction modeling unit, which models risk prediction analysis, a risk detection and notification unit, which automatically detects and notifies the risk, a risk situation monitoring unit, which monitors in real time a risk state of a risk entity when an alarm is raised with respect to the detected risk, and a risk history management unit, which receives user feedback for monitored risk information and manages a record of a terminated risk situation.

Claims

1. An apparatus for managing a risk in a prediction-based manner on social web media, comprising:

a risk vocabulary management unit, which extracts and manages a vocabulary to be managed as pertaining to a risk from social web content;

a risk issue prediction analysis quality extraction unit, which extracts meta information related to a text that is an entity for analysis from an original of the social web content, and performs language analysis and sensitivity analysis;

a risk prediction modeling unit, which models risk prediction analysis through prediction of a statistical and mechanical learning method based on extracted qualities;

a risk detection and notification unit, which automatically detects the risk that is recognized based on risk prediction models pre-modeled from the social web content, and automatically notifies the detected risk;

a risk situation monitoring unit, which monitors in real time a risk state of a risk entity when an alarm is raised with respect to the detected risk; and

a risk history management unit, which receives user feedback for monitored risk information, and manages a record of a terminated risk situation.

2. The apparatus for managing a risk in a prediction-based manner of claim 1, wherein the vocabulary includes a keyword and an event to be managed as the risk.

3. The apparatus for managing a risk in a prediction-based manner of claim 2, wherein the risk vocabulary management unit comprises:

a manual input management block, which provides a user interface for inputting a risk entity keyword and an entity event to be managed;

a semi-automatic recommendation block, which provides a user input of specific social web content to be managed as the risk, and provides a user interface for registering the event and the keyword selected from the specific social web content; and

an automatic recommendation block, which automatically extracts the risk keyword and a risk event from similar pre-stored cases.

4. The apparatus for managing a risk in a prediction-based manner of claim 1, wherein the risk issue prediction analysis quality extraction unit comprises:

a social web content collection block, which collects and stores the social web content in real time;

a language analysis block, which analyzes a language through natural language processing with respect to the collected social web content;

a sensitivity analysis block, which analyzes sensitivity of each word based on sensitive words appearing in an input sentence;

a risk event quality extracting block, which extracts the risk event as any one quality of a noun form, a compound noun form, and a syntax form in accordance with a result of language analysis;

a frequency quality extracting block, which extracts information on how many times per unit time the risk entity keyword and the entity event appear in the social web content;

a sensitivity quality extracting block, which extracts sensitivity analysis information in a sentence with respect to the risk entity keyword, and extracts an extent to which a change of the corresponding sensitivity includes a negative sensitivity as a sensitivity quality;

a network propagation quality extracting block, which extracts a change of a propagation aspect of a network in a unit of time as a risk issue quality; and

a lifecycle quality extracting block, which extracts aspects of the risk keyword and the event appearing in the document as a lifecycle quality.

5. The apparatus for managing a risk in a prediction-based manner of claim 4, wherein the natural language processing includes preprocessing of the social web content, morphological analysis, named entity recognition, syntax analysis, and relation extraction.

6. The apparatus for managing a risk in a prediction-based manner of claim 5, wherein the natural language processing is differently applied depending on a kind and a stage of prediction quality for the social web content.

7. The apparatus for managing a risk in a prediction-based manner of claim 4, wherein the sensitivity analysis block extracts and subdivides degrees of sensitivity of the respective words as numerical information.

8. The apparatus for managing a risk in a prediction-based manner of claim 4, wherein the sensitivity analysis block classifies the sensitivity of each word into any one of “

positive”

, “

negative”

, “

neutral”

, and “

quality”

.

9. The apparatus for managing a risk in a prediction-based manner of claim 4, wherein the frequency quality extracting block extracts whether extraction occurs at a relatively high frequency in a relatively short time, whether continuity is maintained, or whether an abnormal frequency that is different from a normal frequency is extracted, through modeling of frequencies over time, as a frequency quality.

10. The apparatus for managing a risk in a prediction-based manner of claim 4, wherein the network propagation quality extracting block extracts whether a form of the network propagation aspect is uniformly distributed to other user groups and whether a propagation speed is high as a network propagation quality.

11. The apparatus for managing a risk in a prediction-based manner of claim 4, wherein the lifecycle quality extracting block classifies and defines frequencies by time periods into lifecycle forms and types of “

new”

, “

dead”

, and “

recycled”

to utilize the frequencies as modeling qualities for indicating whether the aspect is a normal phenomenon or a phenomenon that can be recognized as a risk state.

12. The apparatus for managing a risk in a prediction-based manner of claim 1, wherein the risk prediction modeling unit uses any one of logistic regression, linear regression, and an SVM method as the statistical and mechanical method.

13. The apparatus for managing a risk in a prediction-based manner of claim 1, wherein the risk situation monitoring unit comprises:

a frequency monitoring block monitoring frequencies in current real-time frequencies and frequencies in the past social web content with respect to the risk entity;

a sensitivity spectrum monitoring block providing sensitivity information of the risk entity as a spectrum over time;

a network distribution monitoring block defining and providing a network propagation aspect in a graphic form or in a classification type of the propagation aspect;

a media diffusion monitoring block monitoring a diffusion aspect of the social web content for the risk entity by medium;

a similar case search block searching whether there is a history in which a similar risk event has occurred in the risk entity and a past case; and

a risk feedback block transferring feedback for an alarm of the detected risk.

14. The apparatus for managing a risk in a prediction-based manner of claim 13, wherein the classification type is any one of a distribution type, a compact type, and a diffusion type.

15. The apparatus for managing a risk in a prediction-based manner of claim 1, wherein the risk history management unit comprises:

a risk state feedback block transferring feedback to a system with respect to a risk alarm;

a feedback-based risk model learning block re-learning a risk model in accordance with information reflected in the risk state feedback;

a similar case search block searching to determine whether there is a history in which a similar risk event has occurred in the risk entity and the past cases; and

a risk type analysis block analyzing a type of the risk and providing statistical information on the risk management entity.

16. The apparatus for managing a risk in a prediction-based manner of claim 15, wherein the risk state feedback block transfers a risk release feedback to the system for reflection of performance improvement in the case where a risk state is not present.

17. The apparatus for managing a risk in a prediction-based manner of claim 15, wherein the similar case search block searches for a risk event occurring in the past in the same risk entity or a similar risk event occurring in the past in a risk entity of the same classification.

18. The apparatus for managing a risk in a prediction-based manner of claim 15, wherein the risk type analysis block provides any one of a risk event type according to the risk entity, a seasonal risk type or a risk type that is repeated over time, and a one-time risk type or an ongoing risk type according to the aspect of diffusion.

19. A method for managing a risk in a prediction-based manner on social web media, comprising:

extracting and managing a vocabulary to be managed as pertaining to a risk from social web content;

extracting meta information related to a text that is an entity for analysis from social web content, and performing language analysis and sensitivity analysis;

modeling risk prediction analysis through prediction of a statistical and mechanical learning method based on extracted qualities;

automatically detecting and notifying the risk that is recognized based on risk prediction models pre-modeled from the social web content;

monitoring in real time a risk state of a risk entity when an alarm is raised with respect to the detected risk; and

recording a related risk termination situation in a risk history DB when the situation of the detected risk is terminated.

20. The method for managing a risk in a prediction-based manner of claim 19, wherein the modeling uses any one of logistic regression, linear regression, and an SVM method as the statistical and mechanical method.