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Text as Data: A New Framework for Machine Learning and the Social Sciences
商品#: 39156390

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

商品#: 39156390

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Discover the best deals on Text as Data: A New Framework for Machine Learning and the Social Sciences at Ubuy Taiwan. Shop now and enhance your knowledge in the field of machine learning and social sciences.
  • A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights.Text as Data is organized around the core tasks in research projects using text―representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research.Bridging many divides―computer science and social science, the qualitative and the quantitative, and industry and academia―Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain.Overview of how to use text as dataResearch design for a world of data delugeExamples from across the social sciences and industry
Publisher Princeton University Press
Publication date March 29, 2022
Language English
Print length 360 pages
ISBN-10 0691207550
ISBN-13 978-0691207551
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 1 x 10 inches (17.8 x 2.5 x 25.4 cm)

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