Abstract :Sentiment analysis is a crucial tool for understanding people's emotions, opinions, and attitudes towards products, services, and events, particularly in the business world. This paper presents a comprehensive study of sentiment analysis web applications, exploring the techniques and tools used for sentiment analysis. The study compares various web applications based on their accuracy, efficiency, and user-friendliness. The challenges and limitations of sentiment analysis, such as language and cultural barriers, are also discussed, and potential solutions are presented. The paper also describes a machine learning and natural language processing-based web application that has been developed for sentiment analysis. The application has been evaluated using a real-time dataset and has shown promising results. Finally, the paper presents the findings, highlighting the importance of sentiment analysis in the digital age, and suggests future research directions.

Keyword : Accuracy, Efficiency, Emotion, Natural Language Processing, Sentiment Analysis, Web Application.