Text as Data: A New Framework for Machine Learning and the Social Sciences

The Text as Data book is a comprehensive guide for researchers who want to analyze large collections of text in today's data-driven world.

With new machine learning tools rapidly transforming the way science and business are conducted, this book shows how to combine these new sources of data with social science research design to develop and evaluate new insights.

The authors offer a sequential, iterative, and inductive approach to research design, complete with real-world applications, example methods, and a distinct style of task-focused research.

Whether you're a social scientist, humanities scholar, or industry professional looking to analyze text data, this book provides the tools and techniques you need to succeed.

Don't miss out on this essential resource for anyone wanting to make sense of the deluge of textual data in today's world.