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.

Abstract: Disclosed are an apparatus, a system, and a method of providing a sentiment analysis result based on a text. An apparatus for providing a sentiment analysis result based on a text according to the present invention includes: an input unit configured to receive a keyword for a target for which a sentiment is desired to be analyzed from a user; a control unit configured to request a sentiment analysis for the received keyword to a service server and receive a sentiment analysis result as a result of the request; a display unit configured to display an attribute for the target according to the received sentiment analysis result, and display a text corresponding to an attribute value for each displayed attribute; and a storage unit configured to store the received sentiment analysis result.

Abstract: A method for automatically extracting information of products, includes searching documents based on product names; and extracting sentences including advantages and disadvantages for products having the product names from the searched documents. Further, the method for automatically extracting the information of the products includes classifying the sentences by similar contents among the extracted sentences; selecting representative sentences among the classified sentences; and calculating each weight of the selected representative sentences.