Day 3 PM Session Plan
This session introduces students to natural language processing with machine learning
Session Introduction
TEACHER LED
What Are We Doing?
Identifying Sentiment in Text Using the VADER Analysis Tool
Classifying Text Using the Naive Bayes Algorithm
Sentiment Analysis
SELF-PACED
- The students can add additional sentences and see how the analysis system rates them.
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
Text Classification
SELF-PACED
- The students can test the model against their own written game reviews and see how the model classifies them
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