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In this video tutorial, Amun, a data scientist, discusses the importance of cleaning techniques for natural language processing. Cleaning data is a fundamental step in the data science pipeline, whether dealing with numbers or text. For text data, there are specific techniques for cleaning, categorized into basic and advanced cleaning. Basic cleaning is essential, while advanced cleaning may not always be required. Understanding these techniques is crucial for effective data processing.
