Abstract:
[Object] To provide a mechanism capable of characterizing data appropriately. [Solution] An information processing apparatus includes: an acquisition section that acquires first feature information, to which meaning is assigned, and second feature information, to which meaning is not assigned; and a generation section that generates time-series data having features indicated by the first feature information and the second feature information acquired by the acquisition section.
Abstract:
To provide an information processing device, a control method, and a program that can determine the granularity of information at the presentation of the information in accordance with a user status. An information processing device including: a retrieval unit that retrieves information in response to a request of a user; an acquisition unit that acquires information on a current user status; a determination unit that determines granularity of information according to the acquired information on the user status when the retrieved information is presented; and a presentation control unit that controls presentation of the retrieved information with the determined granularity of information.
Abstract:
There is provided an information processing apparatus including an obtaining unit configured to obtain one or more other information elements corresponding to one information element based on a degree of association between the one information element and the other information elements, an extraction unit configured to extract a description of a type of association between the one information element and the obtained other information elements, and a presentation control unit configured to perform control in a manner that the one information element, the other information elements, the type of association, and the description of the type of association are presented.
Abstract:
Disclosed is an information processing apparatus including an expression extraction unit, a feature extraction unit, a clustering unit, a related expression extraction unit, and an output unit. The expression extraction unit extracts a plurality of expressions from a plurality of documents. The feature extraction unit extracts feature amounts of the extracted respective expressions while distinguishing the expressions having the same notation. The clustering unit clusters the extracted respective expressions together while distinguishing the expressions having the same notation and calculates assignment degree vectors having assignment degrees of the respective expressions to two or more respective clusters as components. The related expression extraction unit extracts related expressions having the assignment degree vectors similar to those of a provided input expression while distinguishing the expressions having the same notation. The output unit outputs the related expressions and identification information for identifying the related expressions.