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

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Text Classification

9.2.2 - Text Classification

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.