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What is Stemming and Lemmatization in NLP about?
The document discusses stemming and lemmatization, two techniques in Natural Language Processing (NLP) for reducing words to their root forms. Stemming simplifies words by removing suffixes but can lead to inaccuracies, while lemmatization produces meaningful root words but requires more linguistic resources and is computationally expensive. It also covers types of stemming and lemmatization, including the Lovins stemmer and context-aware processing, along with their limitations and examples.
- Author
- chitrabhanuk
- Language
- EN