Practice Sentiment Analysis (15.3.2) - Natural Language Processing (NLP)
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Sentiment Analysis

Practice - Sentiment Analysis

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does sentiment analysis determine in text?

💡 Hint: Think about how we express feelings in words.

Question 2 Easy

Name a field that uses sentiment analysis.

💡 Hint: Where do businesses need to understand consumer feelings?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does sentiment analysis classify text as?

Positive
Negative
Neutral
Happy
Sad
Angry
Good
Bad
Average

💡 Hint: Think about the broad categories of emotions.

Question 2

Is sentiment analysis only used in marketing?

True
False

💡 Hint: Where else do you see businesses or organizations needing to gauge opinions?

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a sentiment analysis model for social media posts. Describe the necessary data preprocessing, the algorithm to be used, and how you would evaluate the model's performance.

💡 Hint: Consider what steps you'd take before the model learns from the data.

Challenge 2 Hard

Evaluate the effectiveness of sentiment analysis in crisis management. How can organizations leverage sentiment analysis to improve response time?

💡 Hint: How might awareness of public sentiment change a company's strategy during a crisis?

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Reference links

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