A comprehensive survey and review of machine learning techniques in document processing : Industry applications and future directions

Abstract

The use of deep learning, machine learning, and natural language-based approaches in the artificial intelligence (AI) field has rapidly advanced document processing efficiency across a wide range of business areas. This research provides a comprehensive survey by providing approaches, models and datasets used for document processing especially for the project proposal documents. The objective of this study is to review the literature on AI-based methods for the aforementioned application, which involves the automated processing of project proposal documents with deep learning, machine learning, and natural language processing. It also investigates a case study, which discusses the application of the methodologies in one of the e-governance document-processing task.