podcast reviews sentiment classifier

This project aims to practice TF-IDF for sentiment classification in a large data set

stages of the project

1. finding data. This is the dataset I found in Kaggle
2. priming data. As a basic approach, I used a supervised dataset, I deleted other columns I did not want to use and convert floats to integers
3. I applied TF-IDF algorithm
4. I used Accuracy and F1 score to measure how the model performed.