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In this video, we will learn how to clean text data on Python, which involves transforming raw text into a format suitable for textual or sentiment analysis. This process includes vectorizing text data into a structured bag of words or tokens. The three-step process of cleaning text involves removing numbers, symbols, and non-alphabetic characters, harmonizing the letter case, and removing stop words. Python simplifies this process in Jupyter notebook.