What is NLP text preprocessing?
An example of an AI chatbot conversation about NLP text preprocessing techniques.
What is NLP text preprocessing?
NLP text preprocessing involves cleaning and preparing text data for analysis, including steps like tokenization and stemming.
Can you explain tokenization?
Tokenization is the process of breaking down text into smaller units, called tokens, which can be words or phrases.
What are some common techniques used in text preprocessing?
Common techniques include lowercasing, removing stop words, stemming, lemmatization, and removing punctuation.
Why is text preprocessing important?
It's crucial because it helps improve the quality of data, making it easier for models to understand and analyze the text.
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