http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
a guide for digital humanities & social sciences
This easy-to-follow book will revolutionize how you approach text mining and data analysis as well as equipping you with the tools, and confidence, to navigate complex qualitative data. It can be challenging to effectively combine theoretical concepts with practical, real-world applications but this accessible guide provides you with a clear step-by-step approach. Written specifically for students and early career researchers this pragmatic manual will contextualize your learning with real-world data and engaging case studies, encourage the application of your new skills with reflective questions and enhance your ability to be critical, and reflective, when dealing with imperfect data. Supported by practical online resources, this book is the perfect companion for those looking to gain confidence and independence while using transferable data skills.
Chapter 1: Computational and Traditional Text Analysis -- Chapter 2: Basic Tools for Text Analytics -- Chapter 3: Dataset Creation and Considerations -- Chapter 4: Language and Computers -- Chapter 5: Regular Expressions -- Chapter 6: Introduction to Python Programming -- Chapter 7: Preprocessing Textual Data -- Chapter 8: Data Manipulation and Exploration -- Chapter 9: Data Visualization -- Chapter 10: Text Mining -- Chapter 11: Social Media Analysis -- Chapter 12: The Basics of Machine Learning -- Chapter 13: LaTex Basics.
Includes bibliographical references (pages [329]-338) and index.