Abstract: Disclosed is a machine learning-based media success prediction through plot summaries According to an embodiment, a method comprises performing preprocessing on text data including a plot summary, calculating a sentiment score from the preprocessed text data using a first model, generating first input data using the calculated sentiment score, generating second input data from the preprocessed data using a second model, and determining a candidate class of content corresponding to the plot summary by applying the first input data and the second input data to a pre-trained third model. The candidate class includes a first class indicating success and a second class indicating failure.

Abstract: Disclosed is a machine learning-based media success prediction through plot summaries According to an embodiment, a method comprises performing preprocessing on text data including a plot summary, calculating a sentiment score from the preprocessed text data using a first model, generating first input data using the calculated sentiment score, generating second input data from the preprocessed data using a second model, and determining a candidate class of content corresponding to the plot summary by applying the first input data and the second input data to a pre-trained third model. The candidate class includes a first class indicating success and a second class indicating failure.

Abstract: A data processing and displaying apparatus and method are provided. The apparatus and method may visualize and display interactive contents to be easily recognized where a number of nodes is large or branches are complex for visualized graph-typed input data. The data processing apparatus and method may also selectively display a portion of nodes or conditions desired by a user based on a particular user input.

Abstract: A storage medium to store interactive content may include at least one content unit and interactive content including story map information, the story map information selectively connecting the at least one content unit according to conditions to form a story.

Abstract: An apparatus for generating a probabilistic graphical model based on a time-space structure. The apparatus includes a first matrix generation unit configured to generate a first matrix having variables corresponding to stream data; a second matrix generation unit configured to classify the variables of the first matrix into either object variables that are objects of interest or input variables, acquire combination variables from multi-order combination of the input variables, and generate a second matrix using the acquired combination variables; and a model creation unit configured to create the probabilistic graphical model using the object variables of the first matrix and the combination variables of the second matrix.

Abstract: A digital content providing apparatus including an interactive content composer to compose continuous interactive contents by linking at least two content units depending on at least one pre-condition or post-condition selected determined on the basis of a user's request and a reproducer to seamlessly reproduce the composed interactive contents.

Abstract: Disclosed are an apparatus and method of constructing interactive contents. The data processing apparatus may transit a branching graph into a planning domain, wherein information on nodes and arcs of the branching graph may be classified to generate property and class information, and the classified properties may be used as pre-conditions of a plan operator on the planning domain.

Abstract: An apparatus for generating a probabilistic graphical model based on a time-space structure. The apparatus includes a first matrix generation unit configured to generate a first matrix having variables corresponding to stream data; a second matrix generation unit configured to classify the variables of the first matrix into either object variables that are objects of interest or input variables, acquire combination variables from multi-order combination of the input variables, and generate a second matrix using the acquired combination variables; and a model creation unit configured to create the probabilistic graphical model using the object variables of the first matrix and the combination variables of the second matrix.

Abstract: A data processing and displaying apparatus and method are provided. The apparatus and method may visualize and display interactive contents to be easily recognized where a number of nodes is large or branches are complex for visualized graph-typed input data. The data processing apparatus and method may also selectively display a portion of nodes or conditions desired by a user based on a particular user input.

Abstract: Disclosed are an apparatus and method of constructing interactive contents. The data processing apparatus may transit a branching graph into a planning domain, wherein information on nodes and arcs of the branching graph may be classified to generate property and class information, and the classified properties may be used as pre-conditions of a plan operator on the planning domain.

Abstract: A digital content providing apparatus including an interactive content composer to compose continuous interactive contents by linking at least two content units depending on at least one pre-condition or post-condition selected determined on the basis of a user's request and a reproducer to seamlessly reproduce the composed interactive contents.

Abstract: A storage medium to store interactive content may include at least one content unit and interactive content including story map information, the story map information selectively connecting the at least one content unit according to conditions to form a story.