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This video tutorial teaches how to clean text data in Python for textual analysis or sentiment analysis. The process involves vectorizing text data, converting raw text into a structured bag of words. Cleaning text is a three-step process: removing numbers, symbols, and non-alphabetic characters, harmonizing letter casing, and removing stop words. Python simplifies this process in Jupyter Notebook.