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The video tutorial teaches how to clean text data in Python for textual analysis and sentiment analysis. Cleaning text involves transforming raw text into a structured format like a bag of words or list of tokens. The process includes removing non-alphabetic characters, harmonizing letter case, and removing common words (stop words). Python simplifies this process, making it easy in Jupyter notebook.