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This video tutorial teaches how to clean text data in Python for textual analysis or sentiment analysis by vectorizing the text data. The cleaning process involves removing numbers, symbols, non-alphabetic characters, harmonizing letter cases, and removing stop words. Python simplifies this process in three steps, making it easy to transform raw text into a structured bag of words or a list of word tokens.