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What is Tokenization and Text Processing Techniques about?

The lecture covers preprocessing techniques for natural language processing, including tokenization, stop words, normalization, lemmatization, and stemming. It discusses the complexities of tokenization across different languages and the importance of handling ambiguities in text. The document also compares stemming and lemmatization, highlighting their roles in reducing words to their base forms.

Author

trisha.nadar2604

Language

EN