SentiMent: BERT-based Sentiment Analysis

This project provides a full pipeline for sentiment analysis on Twitter data using a BERT-based model.

Features

• Data loading and preprocessing
• Tokenization
• Model training and evaluation
• Reproducible results with fixed seeds

Project Structure

• src/ - Source code (data utilities, model, training, evaluation)
• data/ - Training and validation CSV files
• models/ - Saved model checkpoints
• outputs/ - Evaluation logs and confusion matrices
• run.py - Entry point for the full pipeline

Quick Start

1. Install dependencies:

   pip install -r requirements.txt

2. Train and evaluate:

   python run.py

   Use --help for configurable options.