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This video tutorial teaches how to clean text data in Python for textual and sentiment analysis. Cleaning text data involves transforming raw text into a structured bag of words or tokens. The three-step process includes removing non-alphabetic characters, harmonizing letter case, and eliminating common stopwords. Python simplifies this process in Jupyter notebook.