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Iris.Ai makes use of a mixture of keyword extraction, word embeddings, neural subject matter modeling, phrase importance primarily based similarity of document metrics and hierarchical subject matter modeling.

The method is particularly unsupervised however we make use of an evaluated annotation set from our network of AI Trainers for benchmarking and improving our tools.

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