This invention describes a computer program that automatically finds important new words or phrases within a specific field of text. It works by first looking at potential new terms, then calculating a quality score for each using a machine learning model that combines several decision trees. Based on these scores, it identifies truly new terms and verifies them by checking related text, aiming to reduce manual effort in keeping up with new vocabulary.
Why it matters: The core problem of identifying rapidly emerging new terms in vast text data has become even more pronounced since 2022, especially with the proliferation of AI-generated content. Advancements in cloud computing and MLOps have also made the deployment and scaling of such AI-driven text mining solutions more practical.
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