A simple web application that analyzes the sentiment of user-inputted text using Flask and visualizes the results with a graph.
This project is a Flask-based web application that performs sentiment analysis on user-inputted text. It determines whether the sentiment of the text is positive, negative, or neutral and represents the results graphically. The application has a clean and modern user interface with a dark theme and interactive graph visualization. It is useful for understanding the emotional tone of text and can be extended to analyze customer reviews, social media comments, or feedback.
• Real-time Sentiment Analysis using Natural Language Processing • Flask Backend for API handling • Interactive Graph for visualizing sentiment distribution • Modern Dark-Themed UI • Responsive and User-Friendly Design
