What are some common NLP algorithms?
Some common NLP algorithms include tokenization, stemming, lemmatization, and named entity recognition.
Can you explain how tokenization works?
Tokenization is the process of breaking down text into smaller units, called tokens, which can be words or phrases.
What is the difference between stemming and lemmatization?
Stemming reduces words to their root form, while lemmatization considers the context and converts words to their base form.
How are these algorithms used in real-world applications?
These algorithms are used in applications like chatbots, search engines, and sentiment analysis to process and understand text.
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