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This invention describes a system for finding popular phrases or "memes" within social media conversations. It works by collecting social media posts, filtering them into a specific group, potentially based on user characteristics, and then extracting multiword phrases from these posts. These phrases are then ranked to identify the most relevant or frequently used ones by that particular group.
Why it matters: Filed before the widespread adoption of advanced large language models. These models could now significantly enhance the linguistic analysis and term ranking, making the "linguistic relevance score" much more robust and easier to implement.
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