What are the key steps in NLP preprocessing?
The key steps in NLP preprocessing include tokenization, stop word removal, stemming, and lemmatization.
Can you explain tokenization in more detail?
Tokenization is the process of breaking down text into individual words or phrases, called tokens.
What is the purpose of removing stop words?
Removing stop words helps to reduce noise in the data, focusing on the most meaningful words.
How do stemming and lemmatization differ?
Stemming reduces words to their root form, while lemmatization considers the context and converts words to their base form.
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