What are some common NLP techniques used in AI?
Some common NLP techniques include tokenization, stemming, lemmatization, named entity recognition, and sentiment analysis.
Can you explain tokenization?
Tokenization is the process of breaking down text into smaller units, called tokens, which can be words or phrases.
What is sentiment analysis?
Sentiment analysis is a technique used to determine the emotional tone behind a series of words, often used to understand opinions.
How does named entity recognition work?
Named entity recognition identifies and classifies key elements in text, such as names of people, organizations, and locations.
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