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Text Analytics with Python: A Practitioner's Guide
"Text analytics with Python enables data practitioners to transform unstructured natural language into structured, quantitative insights through tokenization, vectorization, and machine learning models. This guide covers essential workflows, processing pipelines, library ecosystems, and implementation strategies required to build scalable text mining solutions. The practice of transforming unstructured human communication into structured machine-readable formats forms the backbone of modern data science, business intelligence, and artificial intelligence applications. Text analytics, frequently used interchangeably with text mining or natural..."
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