Abstract: Information processing including, a first data acquirer that acquires first observational data; a second data acquirer that acquires second observational data; and a processor that performs machine learning by semi-supervised learning to output an emotion of a person as a latent factor using training data of the first observational data and the second observational data, and that infers and outputs the emotion from at least one of the first observational data and the second observational data using a trained model.

Abstract: An information processing apparatus includes a character recognition unit that recognizes a character included in image information and outputs character information, a searching unit that searches for a character string in the character information output from the image information, in accordance with search instruction information that instructs the character string including at least one character included in the image information to be searched for and association information that associates in advance a first character serving as an input target to the character recognition unit with a second character that is output when the character recognition unit recognizes the first character, and a correcting unit that corrects the character string hit in searching, based on the association information.

Abstract: An information processing apparatus includes plural detectors each of which detects a physical amount of a subject; a setting unit that sets, for each of the detectors, a detection period of the physical amount used for estimation; and an estimation unit that estimates feelings of the subject in accordance with the physical amount detected by each of the plural detectors in the detection period set by the setting unit. The setting unit sets a detection period used for next estimation on the basis of an estimation result obtained by the estimation unit.

Abstract: An information processing device include: a first data acquirer that acquires first observational data; a second data acquirer that acquires second observational data; and a processor that performs machine learning by semi-supervised learning to output an emotion of a person as a latent factor using training data of the first observational data and the second observational data, and that infers and outputs the emotion from at least one of the first observational data and the second observational data using a trained model.

Abstract: An information processing apparatus includes a memory that stores, on a per webpage basis, an assumed response pattern representing a document structure of a response to be generated by a web server in response to a webpage browsing request, through parsing of an assumed description of the response, a generation unit that generates a response pattern representing a document structure of a response generated by the web server in response to a webpage browsing request from a client, through parsing of a description of the response, and a transmission controller that performs control such that if the response pattern generated by the generation unit matches a form of an assumed response pattern stored in the memory in association with a target webpage of the webpage browsing request from the client, the response generated by the web server in response to the webpage browsing request is transmitted to the client.