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In this video, we learn how to clean text data in Python for textual or sentiment analysis. Cleaning involves transforming raw text into a structured bag of words by removing non-alphabetic characters, harmonizing letter case, and removing common words (stop words). Python simplifies this process, making it easy for us in Jupyter notebook.