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

被引:1
作者
Tiwari, Manisha [1 ]
Aital, Padmanabhan [2 ]
Joshi, Padmaja [3 ]
机构
[1] NMIMS, Mukesh Patel Sch Technol Management & Engn, Dept Comp Engn, Mumbai, Maharashtra, India
[2] NMIMS, Mukesh Patel Sch Technol Management & Engn, Dept Technol & Management, Mumbai, Maharashtra, India
[3] Ctr Dev Adv Comp CDAC, Mumbai, Maharashtra, India
关键词
Text mining; Natural language processing; Machine learning; Deep learning;
D O I
10.47974/JIOS-1701
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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.
引用
收藏
页码:1177 / 1188
页数:12
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