1. An information processing device, comprising: one or more processors configured to: extract an image feature amount of each frame of an image of learning content; extract word frequency information regarding frequency of appearance of each word in a description text describing a content of the image of the learning content as a text feature amount of the description text; learn an annotation model, which is a multi-stream HMM (hidden Markov model), by using an annotation sequence for annotation, which is a multi-stream including the image feature amount and the text feature amount and obtain an inter-state distance from one state to another state of the annotation model such that an error is minimized between i) the inter-state distance and ii) a Euclidean distance from the one state to the another state on a model map on which states of the annotation model are arranged.