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Sentiment Analysis App

Develop a sentiment analysis web application using Python, Natural Language Processing (NLP), and Flask. This project focuses on analyzing the sentiment of text input, determining whether it's positive, negative, or neutral. Utilize machine learning techniques, such as supervised learning with pre-trained models or custom model training, to achieve accurate sentiment predictions. Flask is employed to create a user-friendly web interface where users can input text and receive sentiment analysis results in real-time. Enhance the application with visualizations to present sentiment insights effectively. Whether for social media monitoring or customer feedback analysis, this sentiment analysis app provides valuable insights into textual data.