Practice Text Classification (9.2.2) - Natural Language Processing (NLP)

Practice: Text Classification

Lesson 9.2.2Natural Language Processing (NLP)

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9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define text classification in your own words.
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Think about what you do when trying to organize a bunch of documents.
Question 2.
List one application of sentiment analysis.
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Think about where opinions are shared publicly.
3Question 3.
What is the main goal of text classification?
- To analyze grammatical structures
- To categorize text into classes
- To generate new text
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Think about what classification means in general.
4Question 4.
True or False: Sentiment analysis provides insights into the emotional tone of text.
- True
- False
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Consider what sentiment means.
Question 5.
Develop a simple algorithm for classifying emails as spam or not based on key phrases.
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Think about implementing a list of keywords from common spam emails.
Question 6.
Create a sentiment analysis model that can take product reviews and categorize them into positive, neutral, or negative sentiments.
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Recall how positive and negative words can heavily influence the overall sentiment score.

5 more questions in this section. Enroll free to practise them all.