Practice Types of NLP Tasks - 9.2 | 9. Natural Language Processing (NLP) | Data Science Advance
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Types of NLP Tasks

9.2 - Types of NLP Tasks

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is tokenization?

💡 Hint: Think about breaking sentences into words.

Question 2 Easy

Why do we remove stop-words?

💡 Hint: Which words do we often see that don't add meaning?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal of text preprocessing?

To enhance readability
To prepare text for analysis
To translate languages

💡 Hint: Think about the steps necessary to ready text.

Question 2

True or False: Stemming considers the context of a word.

True
False

💡 Hint: What does lemmatization do differently?

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a pipeline for processing a set of tweets for sentiment analysis. Identify each NLP task involved.

💡 Hint: What tasks prepare your tweets for analysis?

Challenge 2 Hard

Illustrate how NER could be applied in an online news aggregator. What entities should be recognized?

💡 Hint: Think about what information needs highlighting in news articles.

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