Natural Language Processing in Public Communication for Migration Policies: An Ai-Driven Approach

Abstract

An essential component of artificial intelligence, natural language processing enables computers to understand and interpret human language, bridging the gap between language subtleties and technology. NLP has a long history dating back more than 50 years, and it is used in a wide range of fields, from corporate intelligence to medical research. This paper examines how NLP plays a crucial part in determining migration policy by utilizing its capacity to analyze and comprehend large volumes of textual data, which improves decision-making in a challenging field. It benefits policymakers by providing them with cutting-edge language technology for textual data analysis and comprehension. The breadth of NLP's contributions is demonstrated by its use in information extraction from a variety of sources, data-driven insights in policy formulation, fraud detection, multilingual communication, policy assessment, and early warning system creation.