Abstract: Disclosed is semantic frame operation, and disclosed are a text big data based semantic frame operating method including: collecting a predicate to be used as a semantic frame seed; configuring a synonym set for the collected predicate; collecting one or more examples in text big data in association with predicates included in the synonym set; extracting a semantic frame candidate by attaching a semantic case to the collected examples; performing error verification for the semantic frame candidate; and storing the semantic frame candidate subjected to the error verification as an extended semantic frame for the predicate, and an electronic device supporting the same.

Abstract: The present invention is to provide an apparatus for searching information based on Wikipedia's contents comprising: a document converting part extracting fulltext documents, section title documents, info-box documents, category documents and definition statement documents from Wikipedia original documents and generating at least one of Wikipedia documents for questions and answers; a document indexing part analyzing the Wikipedia document for questions and answers, extracting POS-based index terms from the Wikipedia document for questions and answers, and generating a Wikipedia document index for questions and answers; a question analyzing part receiving a natural language question, analyzing a question pattern, an answer pattern and a question focus from the natural language question, and extracting document search keywords; a document searching part performing document search by using the document search keywords from the Wikipedia document index for questions and answers and generating document search res

Abstract: Provided are an opinion analyzing system and method that analyze an opinion change based on an elapse of time and provide an analysis result. The opinion analyzing system includes a user terminal configured to transmit an opinion analysis request signal including an opinion analysis target keyword and analysis target period information, and an opinion analyzing server configured to, when the opinion analysis request signal is received from the user terminal, collect text information including the opinion analysis target keyword from a database according to the opinion analysis request signal, and analyze the collected text information to generate a summary text of an opinion.

Abstract: The present invention relates to a social media question and answer service, and discloses a social media issue processing device and method. The method includes a question analyzing unit which analyzes a question type of an input question through a question pattern dictionary which is stored in advance; a social media analyzing unit which performs issue period recognition for the question, question type based analysis, question based summary creation, and question based reliability calculation; and a report creating unit which creates a summary in accordance with at least one of correlation between the question type and the question based summary, correlation between the issue period and the question type based analysis result, and correlation between the reliability and the question based summary.

Abstract: A method and device for predicting popularity by setting various criteria of popularity of social data spread over a social network service (SNS) including: a data collecting unit to collect previous data created during a predetermined time and created in real time from data storage associated with an SNS, a data popularity prediction resource building unit to extract user information and data information from the previous data created during the predetermined time and build a social data popularity prediction resource using the extracted user information and data information, and a popularity predicting unit to predict popularity of the social data created in real time using the data information and the user information extracted from the data created in real time and the built popularity prediction resource, in which the predicted popularity includes predicted values of at least two items among a spread amount, a popularity time, and a spread rate.

Abstract: Provided are an apparatus for analyzing an event time-space correlation in a social web media and an operating method thereof. The apparatus includes a collection unit configured to collect a text type of document data from the social web media, a storage unit configured to store an event keyword indicating an event and event-related information including event time-space information corresponding to the event keyword, an extraction unit configured to linguistically analyze the document data to extract the event keyword and the event-related information associated with the event keyword from the document data based on a result of the linguistic analysis, and an output unit configured to receive the event keyword and event-related information and convert the received event keyword and event-related information into visual information and output the visual information.

Abstract: Disclosed are an apparatus, a system, and a method for detecting complex issues based on social media analysis according to the present invention. A system for detecting complex issues based on social media analysis according to the present invention includes: a unit issue detecting unit configured to receive a keyword from a user terminal, and to detect per-type unit issues associated with the received keyword; a complex issue detecting unit configured to detect per-type complex issues from the detected per-type unit issues; a complex issue ranking unit configured to analyze the detected per-type complex issues, and to rank the per-type complex issues based on the analysis result; and a complex issue configuring unit configured to configure the ranked per-type complex issues in a predetermined form that enable users to induce a micro trend, and to provide the configured form to a user.

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: A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.

Abstract: An image display apparatus for receiving and processing a broadcast signal and a method for operating the same are disclosed. The method includes receiving a notification through a network interface or a tuner, generating a promotion card object including the notification by processing the received notification by a card object generator, and displaying the promotion card object on a display.

Abstract: A topic map based indexing apparatus analyzes community Q/A lists to acquire Q/A analysis information, removes redundant answers depending on the Q/A analysis information, removes insignificant answers based on the degree of reliability, ranks answer lists, and extracts the highest ranking answer as a best answer, to thereby store, in a community Q/A topic map, index information containing the community Q/A lists and the Q/A analysis information. A topic map based searching apparatus analyzes a user question to acquire question analysis information, searches similar questions from community Q/A lists belonging to a specific topic node of a pre-stored community Q/A topic map, ranks the searched similar questions depending on the question analysis information, removes redundant answers among answers to the ranked similar questions, ranks the answers, and extracts the highest ranking answer as a best answer.

Abstract: An apparatus for verifying training data using machine learning includes: a training data separation unit for separating provided initial training data into N training data and N verification data, where N is a natural number; a machine learning unit for performing machine learning on the separated training data to generate a training model; an automatic tagging unit for automatically tagging an original text of the verification data using the generated training model to provide automatic tagging results; and an error determination unit for comparing the verification data to the automatic tagging results to determine error candidates of the training data.

Abstract: A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.

Abstract: Disclosed are a method and apparatus for building information on an emotion lexicon according to the present invention. The method of building information on an emotion lexicon according to the present invention includes: retrieving specific documents on the basis of a specific emotion expression lexeme to derive emotion basis lexemes of the emotion expression lexeme from sentences including the emotion expression lexeme; and deriving a new emotion basis lexeme, the new emotion basis lexeme being determined among the derived emotion basis lexemes according to at least one predefined new lexeme criterion and then storing the new emotion basis lexeme in an emotion lexicon.

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.

Abstract: Provides is an apparatus for question answering based on answer trustworthiness including: an answer indexer that indexes documents of which document trustworthiness satisfying a threshold value among documents included in a document collection and stores it in a knowledge Bases; an answer candidate extractor that extracts answer candidate documents for a user's question from the knowledge Bases; an answer source trustworthiness measurement unit; an answer extraction strategy trustworthiness measurement unit; and a trustworthiness integrator that generates an answer candidate trustworthiness list by ranking the answer candidate documents on the basis of the document trustworthiness, the source trustworthiness, and the extraction strategy trustworthiness of the answer candidate documents.

Abstract: Disclosed are a system for providing a broadcast service and a method for providing a broadcast service. An example of the method for providing a broadcast service includes receiving a broadcast signal including broadcast contents and side information to provide the broadcast contents; reading out at least one of objects from question data that is input regarding the broadcast contents and primarily analyzing the read-out object to read out a subject of the question data; searching a social media site and collecting social media data relating to the subject from the searched social media site; secondarily analyzing the social media data and the side information in the broadcast signal on the basis of the subject; and configuring answer data corresponding to the subject using the analysis result and providing the answer data, and provides information which is extended and varied in real time.

Abstract: Provided are a context information sharing apparatus and method for providing an intelligent service by sharing context information between one or more terminals. The method includes collecting, at one or more terminals, user behavior-based preference information including user log information about each terminal and sensor-based context information, storing, at the one or more terminals, the collected preference information and context information in each terminal as a database, receiving, at a first terminal, a context information collection request for a target user group and identifying the target user group, collecting, at the first terminal, context information about at least one terminal included in the identified target user group, and providing, at the first terminal, preference information about the target user group extracted on the basis of the collected context information about the target user group to a user.

Abstract: A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.

Abstract: Disclosed are a method and an apparatus for mobile intelligent advertizing service based on mobile user contextual matching.