Text Classification with BeerAdvocate Reviews

This is the GitHub repository for my contribution to the Text Classification project.

It is the Final Course Project of SMM694 Applied NLP module for 2022/23 MSc Business Analytics at Bayes Business School.

Project Aim

• To classify beer reviews (texts) into 3 rating levels:
  • 0/okay: [3.5 - 4)
  • 1/good: [4 - 4.5)
  • 2/excellent: [4.5 - 5]

Code Explanation

• Pre-processed the text data with NLP pipeline
• Trained and tested multiple classification models with train.csv
• (Classified reviews in true_labels.csv)