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Semantic Atoms for Scalable Text Analysis in Data Analytics in the Era of LLM-Based Agents
Much of the information needed for data analysis is buried in text columns: an analyst may infer customer frustration from complaint text and use it to explain resolution time. We call workloads in which processing text columns is central to subsequent data analysis TADA (\emph{Text Analysis in Data
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