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This video tutorial teaches how to clean text data using Python. Cleaning text involves transforming raw text into a suitable format for analysis, such as sentiment analysis. The process involves vectorizing text data and removing numbers, symbols, non-alphabetic characters, and stop words. Python simplifies this process, making it easy to clean and structure text for analysis in Jupyter notebook.