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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.
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