This repository presents two approaches to classify tweets into 5 classes based on their sentiment:
- Extremely Negative
- Negative
- Neutral
- Positive
- Extremely Positive
It is recommended to run the code in a GPU backend with ~15Gb VRAM.
The dataset is available on kaggle
Please refer to the report for further information on the preprocessing procedures used and results obtained.