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Text cleaning is essential in natural language processing as real world data can be messy. In this video tutorial, various methods and functions are shared for cleaning NLP data, including custom functions and ready-to-use packages. The tutorial uses the fetch 20 news groups dataset from scikit-learn to demonstrate text cleaning techniques. The focus is on preparing the data for use in NLP pipelines.