An In-Depth Guide to Essential Text Exploration Techniques
Text exploration is the indispensable first step in Natural Language Processing (NLP) and data science, where raw, unstructured text is transformed into meaningful, actionable insights. By applying these techniques, we can uncover hidden patterns, themes, and linguistic properties that are crucial for building more advanced models and making data-driven decisions. This guide details 15 of the most important text exploration techniques, complete with their applications, units of analysis, metrics, visualization strategies, and key scientific references. 💡
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