Practice Natural Language Processing (nlp) (1.2.6) - Introduction to Advanced Data Science

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10 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does NLP stand for?
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Think about the interaction between computers and languages.
Question 2.
Name one technique used in NLP.
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Consider what NLP can do with text data.
3Question 3.
What is the primary purpose of NLP?
- Understanding human language
- Generating numerical data
- Creating images
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Think about what NLP stands for.
4Question 4.
True or False: Sentiment Analysis can determine if a text is positive or negative.
- True
- False
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Think about customer reviews and feedback.
Question 5.
Create a sentiment analysis model using Twitter data. Describe how you'd preprocess the text and the metrics you'd use to evaluate its accuracy.
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Consider what raw Twitter data looks like before analysis.
Question 6.
Explain how transformers like BERT can be applied in real-time chat applications to enhance user interaction.
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Think about how chatbots understand and respond to users.

6 more questions in this section. Enroll free to practise them all.