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This video teaches how to clean text data in Python for textual analysis or sentiment analysis, which involves transforming raw text into a structured format. The process includes removing numbers, symbols, and non-alphabetic characters, harmonizing letters (e.g., converting to lowercase), and removing stop words. Python simplifies this process in three steps.
