Sentiment-Analysis-DISTILLBERT

Sentiment Analysis using Python NLP

Project Overview

This project utilizes the DistilBERT model for sentiment analysis on Twitter data. It aims to classify tweets into positive or negative sentiments using natural language processing (NLP) techniques.

Features

• Data Preprocessing: Cleaning and preparing the Twitter dataset.
• Model Training: Fine-tuning the DistilBERT model on the preprocessed data.
• Evaluation: Assessing the model's performance using various metrics.
• Prediction: Classifying new tweets based on the trained model.

Installation

To get started with this project, clone the repository and install the required dependencies.

git clone https://github.com/Zburgers/Sentiment-Analysis-DISTILLBERT.git
cd Sentiment-Analysis-DISTILLBERT
pip install -r requirements.txt