Practice Types Of Nlp Tasks (9.2) - Natural Language Processing (NLP)

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10 questions

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6 sample questions

Question 1.
What is tokenization?
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Think about breaking sentences into words.
Question 2.
Why do we remove stop-words?
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Which words do we often see that don't add meaning?
3Question 3.
What is the primary goal of text preprocessing?
- To enhance readability
- To prepare text for analysis
- To translate languages
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Think about the steps necessary to ready text.
4Question 4.
True or False: Stemming considers the context of a word.
- True
- False
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What does lemmatization do differently?
Question 5.
Design a pipeline for processing a set of tweets for sentiment analysis. Identify each NLP task involved.
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What tasks prepare your tweets for analysis?
Question 6.
Illustrate how NER could be applied in an online news aggregator. What entities should be recognized?
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Think about what information needs highlighting in news articles.

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