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4 cards from this section. Quick, good the night before a test.
What does NLP stand for?
Think about the interaction of language and machines.
What is tokenization?
Consider how you separate words in a sentence.
What is NLP primarily concerned with?
What area deals with chatbots and virtual assistants?
True or False: NLU is about generating text, while NLG is about understanding it.
Think of how you would find the meanings versus what is created.
Design a chatbot using NLP features, specifying the preprocessing steps and modeling techniques to be used.
Consider which features you need for understanding user intent.
Analyze a dataset with reviews and apply sentiment analysis to classify each review as positive or negative, outlining the tools you would use.
Think back to the steps involved in sentiment analysis and how you would implement them.
5 more questions in this section. Enroll free to practise them all.
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