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Applications of AI and Machine Learning

View Syllabus Overview

Lesson 3.1 Creating a Sentiment Model

Description

In this lesson, students will learn about tokenizing text to be used in Natural Language Processing models. They will then use that along with embedding layers to create text sentiment models.

Objective

Students will be able to:

  • Explain what tokenization is and why it is important to machine learning
  • Explain how embedding layers are used to create text-based machine learning models

Activities

These are all the activities included in the lesson

3.1.1 Tokenizing Words for an NLP Model
3.1.2 Lab: Tokenizing a dataset
3.1.3 Embedded Layers and NLP Models
3.1.4 Creating a Sentiment Model Quiz
3.1.5 Lab: Starbucks Sentiment Review
3.1.6 Creating a Hotel Review AI