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. . Language: English