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This invention describes a computer system that uses artificial intelligence to sort text into two categories. It works by first breaking down the text into smaller parts and converting them into numerical codes. These codes are then fed into a specialized AI network, which learns to decide which of the two categories the text belongs to. The claims specifically focus on classifying medical patient histories as either "extended" or "brief."
Why it matters: Since 2018, the field of artificial intelligence, particularly for natural language processing, has seen significant advancements in tools, frameworks, and accessible pre-trained models. This makes the development and deployment of text classification systems, even those using recurrent neural networks like LSTMs, considerably more straightforward and powerful today.
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