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How to Fully Automate Text Data Cleaning with Python in 5 Steps

Text data cleaning is essential for any analysis or machine learning projects including text, especially those types of tasks which can be classified as natural language processing (NLP) or text analytics. Raw text often has errors, inconsistencies, and extra information that can affect your results. Common issues include misspellings, special characters, extra spaces, and wrong formatting.

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