Text as Data: A New Framework for Machine Learning and the Social Sciences
by Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart
Text as Data introduces a framework for applying machine learning to the study of text in the social sciences. Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart connect computational methods with social science research, offering a foundation for readers exploring text analysis and data-driven inquiry.
About This Book
Text as Data presents a framework for studying written language as data within the social sciences.
The book connects machine learning with social science research, focusing on how computational approaches can support the analysis of text.
Written by Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart, it is intended for readers interested in research methods, data analysis, and computational social science.
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