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Real Time Sentimental Analysis using X

A powerful application for analyzing sentiment from X (formerly Twitter) data in real-time.

Project Demo

Project Demo https://www.loom.com/share/cd4105230c3546d1be84f03d7c5b1ae4?sid=480955d9-8160-491b-baad-5edd645375c6

Technologies

  • Backend: FastAPI
  • Frontend: NextJS with TypeScript and TailwindCSS

Setup Instructions

--> Don't Forget to Add Enviroment Variables

Backend Setup

# Navigate to backend directory
cd backend

# Create virtual environment, activate it
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Start the server
python -m uvicorn app.main:app --reload

Frontend Setup

# Install dependencies
npm install

# Start development server
npm run dev

Features

  • Real-time sentiment analysis of X posts and replies
  • Interactive visualization dashboard
  • Historical data tracking

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Real Time Sentiment Analysis from Twitter without using paid APIs.

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