Introduction Emotional AI—often dubbed affective computing—promises machines that can detect, interpret, and even respond to human emotions. But can these AI systems really grasp the full nuance of human sentiment? The linchpin of emotional AI is sentiment analysis, an area where machine learning and natural language processing meet.
Introduction Emotional AI—the technology enabling machines to interpret and simulate human emotions—has made significant strides in recent years. While these developments promise more personalized and empathetic user experiences, they also present ethical challenges related to data privacy, transparency, and user trust. Below, we examine the ethical implications of
Introduction Emotional AI—sometimes referred to as affective computing—aims to enable machines to sense and respond to human emotions. A key component of this endeavor is Natural Language Processing (NLP), which helps AI agents interpret not just the literal meaning of words, but also the emotional context behind them.