Text Annotation Handbook: A Practical Guide for Machine Learning
  Projects
Felix Stollenwerk Joey Öhman Danila Petrelli Emma Wallerö Fredrik Olsson Camilla Bengtsson Andreas Horndahl Gabriela Zarzar Gandler
This handbook is a hands-on guide on how to approach text annotation tasks.
It provides a gentle introduction to the topic, an overview of theoretical
concepts as well as practical advice. The topics covered are mostly technical,
but business, ethical and regulatory issues are also touched upon. The focus
lies on readability and conciseness rather than completeness and scientific
rigor. Experience with annotation and knowledge of machine learning are useful
but not required. The document may serve as a primer or reference book for a
wide range of professions such as team leaders, project managers, IT
architects, software developers and machine learning engineers.