Abstract

In an era where digital interactions shape perceptions, sentiment analysis emerges as a powerful tool to decode emotions embedded in text. It empowers businesses, researchers, and decision-makers to transform raw opinions into actionable insights, fostering stronger connections with audiences. This project harnesses the potential of Google’s Vertex AI Auto ML to revolutionize sentiment analysis, delivering an intelligent, automated, and explainable system capable of deciphering emotional tones in reviews, social media posts, and beyond. This approach enhances sentiment-based insights for businesses, researchers, and organizations, improving decisionmaking processes based on user feedback. By integrating cloud-based AutoML capabilities, this project enhances classification accuracy, scalability, and deployment efficiency, making sentiment analysis accessible for businesses, researchers, and organizations. The model’s ability to extract actionable insights from user-generated content supports real-time decision-making, social media monitoring, and customer feedback analysis across various industries.