This repository contains the fine-tuned BERTweet backbone and fusion-head weights for the Sentiment140 final-year research project. The browser app performs attention-mask mean pooling, VADER feature normalization, and the trained classification head client-side.

The model uses a validation-tuned positive threshold of 0.467.