Emotional Analysis Using Machine Learning

Understanding customer emotions about online transactions is essential for businesses. This paper explores an innovative method of analyzing these emotions using advanced machine learning techniques, particularly the DistilBERT model, which operates through a powerful web interface. By applying advanced language processing tools to product reviews, we present an effective way to detect emotions in real-time and provide actionable insights. The study highlights how artificial intelligence can transform raw, unstructured feedback into valuable analysis, helping businesses better understand their customers and improve their products and services. The findings demonstrate that deep learning can accurately identify customer sentiments and generate precise recommendations for enhancing business strategies.