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In this video, we learn how to clean text data in Python for textual or sentiment analysis by transforming raw text into a structured bag of words. The process involves removing non-alphabetic characters, harmonizing letters (e.g., lowercase), and removing stop words. Python makes this process easy to implement in Jupyter notebook.