Machine Learning for Emotion Analysis in Python

Table of Contents

1. Foundations
2. Building and Using a Dataset
3. Labelling Data
4. Preprocessing - Stemming, Tagging, and Parsing
5. Sentiment Lexicons and Vector-Space Models
6. Naïve Bayes
7. Support Vector Machines
8. Neural Networks and Deep Neural Networks
9. Exploring Transformers
10. Multiclassifiers
11. Case Study - The Qatar Blockade