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This invention describes a system for processing large amounts of text by focusing on who wrote it. You would tell the system which authors or types of authors are important to you, and it would create profiles for them. When new text comes in, the system analyzes it, compares it to your specified author profiles, and then prioritizes which text to process first based on how well it matches your preferred authors and any priority levels you've set.
Why it matters: Filed before large language models (LLMs) became widely available and powerful. LLMs can now more effectively create sophisticated author and content profiles, and their advanced understanding makes controlling NLP processing based on authorship much more feasible and accurate than in 2016.
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