Practice Natural Language Processing (nlp) (9) - Natural Language Processing (NLP)

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8 questions

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

Question 1.
What is tokenization?
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Think about how we break a sentence into its individual components.
Question 2.
What does NLP stand for?
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Recall the full form based on the acronym.
3Question 3.
What does NLP enable machines to do?
- Understand human emotions
- Comprehend and generate human language
- Perform complex mathematics
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Remember the core goals of NLP.
4Question 4.
True or False: Stemming ignores the context of words when reducing them.
- True
- False
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Think about how stemming differs from lemmatization.
Question 5.
You have a dataset of customer reviews. Outline an NLP pipeline you would use to classify these reviews as positive or negative.
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Consider each step carefully and how they add up to form a complete process.
Question 6.
Critique the limitations of the Bag of Words model compared to Word Embeddings.
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Focus on how each model approaches complex meanings differently.

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