AI-driven call sentiment analysis uses machine learning and natural language processing (NLP) to assess customer emotions during phone interactions. AI can classify calls as positive, neutral, or negative by analyzing voice tone, speech patterns, and word choices. This helps businesses identify dissatisfied customers, improve service quality, and escalate high-priority issues to supervisors. AI-driven sentiment analysis also allows companies to track customer satisfaction trends over time, providing valuable insights for training and quality control. By leveraging AI-driven call sentiment analysis, businesses can enhance customer engagement, resolve issues more effectively, and improve overall call center performance.