Word latent topic estimation device and word latent topic estimation method

A word latent topic estimation method for estimating a probabilistic word latent topic sequentially each time a document is added, comprising:

• inputting, by a word latent topic estimation computing device, a document including one or more words;
• setting, by the word latent topic estimation computing device, the number of topics at each level in accordance with a hierarchical structure of topics for hierarchically estimating a latent topic of a word, the hierarchical structure constituted with a preset width and a preset depth;
• creating, by the word latent topic estimation computing device, a higher-level constraint for a word in the document on the basis of a result of topic estimation at a given level, the higher-level constraint indicating an identifier of a topic that is likely to be assigned to the word and the probability of the word being assigned to the topic;
• and
• when estimating the probability of each word in the input document being assigned to each topic, referring, by the word latent topic estimation computing device, to the higher-level constraint created by the creating step and using the probability of the word being assigned to a parent topic at a higher level as a weight to perform estimation processing for a lower-level topic.

A non-transitory computer readable medium program that causes a computer serving as an information processing device storing a program for causing a computer to execute a process:

• inputting a document including one or more words;
• setting the number of topics at each level in accordance with a hierarchical structure of topics for hierarchically estimating a latent topic of a word, the hierarchical structure constituted with a preset width and a preset depth;
• creating a higher-level constraint for a word in the document on the basis of a result of topic estimation at a given level, the higher-level constraint indicating an identifier of a topic that is likely to be assigned to the word and the probability of the word being assigned to the topic;
• and
• when estimating the probability of each word in the input document being assigned to each topic, referring to the higher-level constraint created by the creating process step and using the probability of the word being assigned to a parent topic at a higher level as a weight to perform estimation processing for a lower-level topic.