Practice Text Classification - 9.2.2 | 9. Natural Language Processing (NLP) | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define text classification in your own words.

💡 Hint: Think about what you do when trying to organize a bunch of documents.

Question 2

Easy

List one application of sentiment analysis.

💡 Hint: Think about where opinions are shared publicly.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main goal of text classification?

  • To analyze grammatical structures
  • To categorize text into classes
  • To generate new text

💡 Hint: Think about what classification means in general.

Question 2

True or False: Sentiment analysis provides insights into the emotional tone of text.

  • True
  • False

💡 Hint: Consider what sentiment means.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Develop a simple algorithm for classifying emails as spam or not based on key phrases.

💡 Hint: Think about implementing a list of keywords from common spam emails.

Question 2

Create a sentiment analysis model that can take product reviews and categorize them into positive, neutral, or negative sentiments.

💡 Hint: Recall how positive and negative words can heavily influence the overall sentiment score.

Challenge and get performance evaluation