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This video teaches how to clean text data using Python, essential for textual and sentiment analysis. The process involves transforming raw text into a structured bag of words by removing numbers, symbols, non-alphabetic characters, harmonizing letter casing, and eliminating stop words. Python simplifies this process, making it easy to clean text data in Jupyter notebooks.