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What is Python Text Preprocessing Techniques about?

The document outlines various text preprocessing techniques in Python, including tokenization, stemming, lemmatization, stopword removal, filtration, and script validation. It provides programming exercises to implement these techniques, including a custom Porter Stemming Algorithm and additional preprocessing methods like emoji and URL removal. Sample code snippets demonstrate the implementation of these techniques using the NLTK library and regular expressions.

Author

shruti

Language

EN