May 1, 2024
4 minute read
Document Processing is the process of converting unstructured documents into usable data. This can be done manually, but it is often more efficient to use software to automate the process. Document Processing can be used to extract data from a variety of document types, including invoices, receipts, contracts, and emails.
Why Learn Document Processing?
There are many reasons to learn Document Processing. Some of the most common reasons include:
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Find a path to becoming a Document Processing. Learn more at:
OpenCourser.com/topic/5l44j8/document
Reading list
We've selected four books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Document Processing.
Provides a deep dive into the use of natural language processing (NLP) techniques for document understanding. It covers topics such as text classification, named entity recognition, and relationship extraction. It is an essential resource for researchers and practitioners interested in developing NLP-based document processing solutions.
Provides an overview of machine learning techniques for document processing. It covers topics such as feature extraction, machine learning algorithms, and document classification. It is an essential resource for researchers and practitioners interested in developing machine learning-based document processing solutions.
Provides a comprehensive overview of document image analysis. It covers topics such as document image acquisition, preprocessing, feature extraction, and recognition. It is an essential resource for researchers and practitioners interested in developing DIPR solutions.
Provides a practical guide to document engineering, covering topics such as document design, implementation, and management. It is an ideal resource for professionals looking to improve their understanding of the document engineering lifecycle and develop effective document-based solutions.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/5l44j8/document
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