Abstract:
A crime type inference system based on text data, may include: a keywords dictionary construction unit configured to receive crime source data, and generate a crime type keywords dictionary by extracting crime keywords; a data set construction unit configured to generate a dataset for crime type learning by using the crime source data and the keywords dictionary; a crime type prediction model training unit configured to generate a crime type prediction model by using the dataset, and train the crime type prediction model; and a crime type inference unit configured to infer a crime type by using new crime data.
Abstract:
The present invention relates to an apparatus and method for providing a content map service using a story graph of video content and a user structure query. The apparatus according to an embodiment of the present includes: a story graph generating apparatus configured to extract video entities contained in video content and entity relations between the entities, and generate a story graph on the basis of the extracted entity relations; a story graph database configured to store the generated story graph; a structure query input apparatus configured to receive a user structure query in the form of a graph; a story graph matching apparatus configured to calculate a similarity between the story graph and the input user structure query from a similar sub-structure, and select a matching video on the basis of the calculated similarity; and a visualization apparatus configured to visualize the input user structure query and the video matching the user structure query in the story graph and provide a visualization result to a user.
Abstract:
Provided are a clustering method using broadcast content and broadcast related data and a user terminal to perform the method, the clustering method including creating a story graph with respect to each of a plurality of scenes associated with broadcast content based on the broadcast content and broadcast related data, and creating a cluster of a scene based on the created story graph.
Abstract:
Disclosed is an apparatus and method for tagging a topic to content. The apparatus may include an unstructured data-based topic generator configured to generate a topic model including an unstructured data-based topic based on content and unstructured data, a viewer group analyzer configured to analyze a characteristic of a viewer group including a viewer of the content based on a social network of the viewer and viewing situation information of the viewer, a multifaceted topic generator configured to generate a multifaceted topic based on the topic model and the characteristic of the viewer group, a content divider configured to divide the content into a plurality of scenes, and a tagger configured to tag the multifaceted topic to the scenes.
Abstract:
An application search apparatus is provided, the apparatus including an input unit to receive a search word from a user, and generate a query word based on the received search word, a controller to provide an integrated result of searching a plurality of app stores for an application corresponding to the query word, and a storage unit to categorize an application provided by the plurality of app stores, and download and store the application provided by the plurality of app stores.