Tnt-LLM: A Novel Machine Learning Framework that Combines the Interpretability of Manual Approaches with the Scale of Automatic Text Clustering and Topic Modeling

The term “text mining” refers to discovering new patterns and insights in massive amounts of textual data. Generating a taxonomy—a collection of structured, canonical labels that characterize features of the corpus—and text classification—the labeling of instances within the corpus using said taxonomy—are two fundamental and related activities in text mining. This two-step process can be […]

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ai paper summary ai shorts applications artificial intelligence canonical classification clustering collection data editors pick features framework insights instances interpretability labeling labels language model large language model llm machine machine learning massive mining modeling novel patterns scale staff taxonomy tech news technology text text classification textual topic modeling