Harnessing the Power of Sentiment Analysis: An Exploration with Pre-Trained Models and Gradio App

Project Description 🧐

This project seeks to fine-tune a pre-trained model to analyse the sentiments on some posts on Twitter that are about the COVID-19 vaccine and classify them into Positive, Neutral and Negative. This refined model will serve the purpose of collecting tweet data related to the epidemic, eliminating the sole reliance on specific keywords like 'covid' or 'coronavirus.' This approach enables researchers and engineers to curate a more inclusive dataset for sentiment analysis.

The potential application of this model lies in its integration into a broader initiative focused on comprehending online sentiments concerning COVID-19.

Use the package manager pip to install the requirements.txt file.

pip install -r requirements.txt

Usage 👍🏾


Gradio run app.py

Summary 💬

Code	Name	Published Article	Deployed App
LP5	Sentiment Analysis	Article to project	Deployed App