SEMI-SUPERVISED TOPIC MODEL LEARNING DEVICE, SEMI-SUPERVISED TOPIC MODEL LEARNING METHOD AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To enable accurate learning of the relationship between a signal and additional information even when only a small amount of the signal associated with the additional information (language information) can be used.

SOLUTION: A semi-supervised topic model learning device 10 includes: an accumulation signal feature extraction part 1 which extracts a complete accumulation signal feature and an incomplete accumulation signal feature from a complete accumulation signal and an incomplete accumulation signal respectively; an accumulation additional information feature extraction part 2 which extracts an accumulation additional information feature from each piece of accumulation additional information; an accumulation latent variable extraction part 3 which extracts an accumulation latent variable from a complete accumulation signal feature aggregation, an incomplete accumulation signal feature aggregation, and an accumulation additional information feature aggregation; and a topic model learning part 4 which extracts a topic model from the complete accumulation signal feature aggregation, the incomplete accumulation signal feature aggregation, the accumulation additional information feature aggregation, and an accumulation latent variable aggregation.

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