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
相关论文
共 25 条
[1]   P-ROCK: A Sustainable Clustering Algorithm for Large Categorical Datasets [J].
Altameem, Ayman ;
Poonia, Ramesh Chandra ;
Kumar, Ankit ;
Raja, Linesh ;
Saudagar, Abdul Khader Jilani .
INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 35 (01) :553-566
[2]  
Beason Sterling, 2021, SMU Data Science Review, V5
[3]   Descriptive analysis of COVID-19 patients in the context of India [J].
Bhatnagar, Vaibhav ;
Poonia, Ramesh Chandra ;
Nagar, Pankaj ;
Kumar, Sandeep ;
Singh, Vijander ;
Raja, Linesh ;
Dass, Pranav .
JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2021, 24 (03) :489-504
[4]   A machine learning-based predictive approach in evaluating consumer behavior [J].
Bhoyar, Sanjay ;
Bhoyar, Punam ;
Shah, Mushtaq Ahmad .
JOURNAL OF STATISTICS AND MANAGEMENT SYSTEMS, 2023, 26 (08) :1955-1963
[5]  
Costal D., Lecture Notes in Computer Science, V11788
[6]   Text mining tool for translating terms of contract into technical specifications: Development and application in the railway sector [J].
Fantoni, G. ;
Coli, E. ;
Chiarello, F. ;
Apreda, R. ;
Dell'Orletta, F. ;
Pratelli, G. .
COMPUTERS IN INDUSTRY, 2021, 124
[7]   Automated Requirements Identification from Construction Contract Documents Using Natural Language Processing [J].
Hassan, Fahad Ul ;
Le, Tuyen .
JOURNAL OF LEGAL AFFAIRS AND DISPUTE RESOLUTION IN ENGINEERING AND CONSTRUCTION, 2020, 12 (02)
[8]  
Kam K.H., 2021, Advanced Engineering Informatics, V47
[9]   On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools [J].
Kanakaris, Nikos ;
Karacapilidis, Nikos ;
Lazanas, Alexis .
ICORES: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS, 2019, :362-369
[10]   Multi-level graph neural network for text sentiment analysis [J].
Liao, Wenxiong ;
Zeng, Bi ;
Liu, Jianqi ;
Wei, Pengfei ;
Cheng, Xiaochun ;
Zhang, Weiwen .
COMPUTERS & ELECTRICAL ENGINEERING, 2021, 92