Practice Sentiment Analysis (11.6.2) - Natural Language Processing (NLP)

Practice: Sentiment Analysis

Lesson 11.6.2Natural Language Processing (NLP)

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10 questions

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6 sample questions

Question 1.
What is the primary objective of sentiment analysis?
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Think about what we understand from reading reviews.
Question 2.
Name one application of sentiment analysis.
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Where do people share their opinions online?
3Question 3.
What is sentiment analysis primarily used for?
- Understanding emotions
- Data entry
- Image recognition
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Think about what type of data expresses feelings.
4Question 4.
True or False: Sentiment analysis can only classify emotions as positive or negative.
- True
- False
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Consider if there might be an 'in-between' feeling.
Question 5.
Given a collection of customer reviews for a product, analyze the reviews and categorize them into positive, negative, and neutral sentiments, providing reasons for your classification.
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Look for descriptive words that convey how customers feel.
Question 6.
Design a simple algorithm combining both machine learning and lexicon-based approaches to classify a set of tweets. What data would you need and how would you implement it?
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Consider how you'd train a computer to read feelings from words.

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