Framework Development and Testing to Identify the Risk in Business by using NLP

The growing reliance of individuals on computer-assisted systems has prompted academics to prioritize the development of communication technologies that can replicate comprehend natural languages, human interactions, and interpret human emotions. The issue of information overload is pervasive across several sectors, including business, healthcare, education, and more. This phenomenon has resulted in a notable surge in unstructured data, often seen as lacking use or usefulness. In this particular domain, integrating natural language processing (NLP) with sophisticated technologies like machine learning, deep learning and artificial intelligence, have shown to be a successful approach for enhancing the comprehension and manipulation of natural language. This has the potential to enhance human-computer interaction in a more efficient manner, while also facilitating the analysis and organization of extensive quantities of unstructured and non-utilizable data/text across several sectors. This approach is expected to provide significant results that may enhance the process of decision-making and therefore boost operational efficiency. This section give an summary of the idea of Natural Language Processing (NLP), tracing its historical evolution and discussing its applicability across several industrial sectors.