AI-Powered Natural Language Processing for Human-Machine Interaction

Abstract

Advancements in AI-powered Natural Language Processing (NLP) are improving human-machine interactions through chatbots, virtual assistants, and sentiment analysis. This paper explores NLP models such as transformers, generative adversarial networks, and reinforcement learning for AI-driven communication. It discusses challenges like contextual understanding, bias in language models, and data privacy concerns. Case studies highlight successful NLP applications, showcasing improved customer service, automated content generation, and enhanced accessibility.