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This invention describes a way to take a jumble of written information, like articles or documents, and automatically clean it up and organize it. Once organized, it uses specific rules to identify major and minor topics and how they are changing over time. The claims specifically focus on cleaning the text by standardizing its presentation and content, and then using rule-based systems to categorize the topics.
Why it matters: Filed before the widespread adoption of powerful Large Language Models (LLMs). These models can now significantly enhance or simplify the text pre-processing and rules-based classification steps described, making trend identification more robust.
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