Document Processing Using Machine Learning

Sk Md Obaidullah, KC Santosh (University of South Dakota (USD), South Dakota, US), Teresa Goncalves , Nibaran Das

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Hardback

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English

Chapman & Hall/CRC
02 December 2019

Communications engineering & telecommunications; Machine learning

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text.

In brief, the book offers comprehensive coverage of the most essential topics, including:

· The role of AI for document image analysis

· Optical character recognition

· Machine learning algorithms for document analysis

· Extreme learning machines and their applications

· Mathematical foundation for Web text document analysis

· Social media data analysis

· Modalities for document dataset generation

This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Edited by: Sk Md Obaidullah, KC Santosh (University of South Dakota (USD), South Dakota, US), Teresa Goncalves, Nibaran Das, Kaushik Roy
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 430g
ISBN: 9780367218478
ISBN 10: 036721847X
Pages: 168
Publication Date: 02 December 2019
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Hardback
Publisher's Status: Active

Sk Md Obaidullah, KC Santosh, Teresa Goncalves, Nibaran Das, Kaushik Roy