Natural Language Processing and Artificial Intelligence: A Perspective Toward Current Trends, Challenges, and Applications

Abstract

This chapter digs into the dynamic and transformational convergence of natural language processing (NLP) and artificial intelligence (AI), offering a thorough examination of current trends, problems, and applications in this emerging subject. We investigate the impact of deep learning (DL) and neural networks, highlighting their critical significance in tasks ranging from language translation to sentiment analysis. Transfer learning (TL) appears as an important trend, allowing pre-trained models to be fine-tuned for specific NLP applications. The integration of multimodal AI, which combines text with visuals and audio, is being investigated for its influence on a variety of applications. However, difficulties exist, such as linguistic ambiguity, ethical problems, and the interpretability of complicated models. Despite these challenges, the applications of NLP and AI are extensive, including chatbots, sentiment analysis, and language translation.

Ähnliche Arbeiten