SentimentFinder is a web-based sentiment analysis tool designed to analyze YouTube videos and channels. It provides sentiment-based insights into user comments, offering a visual representation of audience reactions and feedback.

• Analyze sentiment from YouTube video comments.
• Generate pie charts to display sentiment distribution.
• View summarized insights from user comments.
• Show what people want to see as per comment analysis.
• AI-powered chatbot (Gemini) for interactive analysis.
• Responsive and modern UI built with ReactJS, Tailwind CSS, and Framer Motion.

• Frontend: ReactJS, Vite, Tailwind CSS, Framer Motion, Material-UI
• Backend: Node.js, Express.js (for API requests)
• Libraries Used: Axios, React Router, Chart.js, Tabler Icons

1. Clone the Repository

   git clone https://github.com/AB527/SF.git
   cd SF

2. Install Dependencies

   npm install

3. Run the Development Server

   npm run dev

1. Clone the Repository

   git clone https://github.com/manaspros/sentiment-analysis.git
   cd sentiment-analysis

2. Install Dependencies

   npm install

3. Run the Development Server

   npm run dev

The app will be available at http://localhost:5173/ and server at http://localhost:3000/.

1. Enter a YouTube video or channel URL.
2. View sentiment analysis results with graphical representation.
3. Interact with Gemini AI for insights on audience perception.

Live Deployment

• Atharva Bedekar – LinkedIn
• Manas Choudhary – LinkedIn
• Ishaan Singh – LinkedIn

This project is licensed under the MIT License.

✨ Feel free to fork, contribute, or raise issues for improvements! 🚀