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What is Tokenization and Text Normalization in NLP about?

The document discusses tokenization, stemming, and lemmatization in Natural Language Processing (NLP), explaining the importance of tokenization as the first step in processing text data. It details methods for tokenization in Python, including using the split() method, regular expressions, and the NLTK library, as well as the differences between stemming and lemmatization. Stemming reduces words to their root forms using algorithms like PorterStemmer and LancasterStemmer, while lemmatization ensures that t

Author

usmanrana22111

Language

EN