Day 3 PM Session Plan

This session introduces students to natural language processing with machine learning

Presentation Slides

Session Introduction

SLIDES 1 - 2
TEACHER LED


    What Are We Doing?

    Identifying Sentiment in Text Using the VADER Analysis Tool
    Classifying Text Using the Naive Bayes Algorithm

Sentiment Analysis

SLIDE 3
SELF-PACED


    Students will learn:

    How sentiment analysis works with VADER (Valence Aware Dictionary and sEntiment Reasoner)
    Setting up the sentiment analysis project
    Performing analysis with VADER using code
  • The students can add additional sentences and see how the analysis system rates them.

Text Classification

SLIDE 4
SELF-PACED


    Students will learn:

    How to use the Naive Bayes Algorithm
    Setting up the project
    Performing Data Analysis
    Interpreting text using vectorization
    Training, predicting, and testing the dataset
  • The students can test the model against their own written game reviews and see how the model classifies them