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What is Text Normalization in NLP Explained about?
The document provides an overview of text normalization and cleaning techniques used in Natural Language Processing (NLP), including tokenization, stemming, and lemmatization. It explains the importance of reducing randomness in text and removing non-informative elements to enhance data quality. The document also highlights the differences between stemming and lemmatization in terms of their approaches and outcomes.
- Author
- Barun Behera
- Language
- EN