Case Study: Review Sentiment

In this lesson14 parts

1. 01The question
2. 02The data, and its defects
3. 03Split first
4. 04What the words say
5. 05The baseline
6. 06Bag of words, TF-IDF and Naive Bayes
7. 07A linear SVM
8. 08A sentence embedding
9. 09The comparison table
10. 10Error analysis
11. 11Another source
12. 12The sealed sentences, once
13. 13Code
14. 14What next, your challenge, and the assignments

Builds on

This lesson stands on its own. These go deeper into what it uses.

• ML 4.4–4.5: Cross-Validation
• 5.1
• 5.3
• 6.1–6.2
• 7.2
• 7.6