A web application that analyzes the sentiment of tweets to help with brand monitoring. The application uses a pre-trained machine learning model to classify tweets as positive, negative, or neutral, and provides an accuracy score for each prediction.
- Features
- Clean, modern UI with dark purple, black, and yellow color scheme
- Simple interface for entering tweets
- Real-time sentiment analysis
- Displays sentiment classification (Positive, Negative, or Neutral)
- Shows prediction accuracy percentage
- Responsive design for desktop and mobile
- Project Structure
- The project consists of two main components:
Frontend: A web application built with Typescript and Tailwind CSS
Python API: A Flask API that serves the ML model for sentiment prediction
visit : https://sentiment-analysis-app-xi.vercel.app/