{"product_id":"text-as-data-a-new-framework-for-machine-learning-and-the-social-sciences-9780691207551","title":"Text as Data: A New Framework for Machine Learning and the Social Sciences","description":"\u003cp\u003e\u003cb\u003eA guide for using computational text analysis to learn about the social world \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eFrom 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. \u003ci\u003eText as Data \u003c\/i\u003eshows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eText as Data \u003c\/i\u003eis 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. \u003cp\u003e\u003c\/p\u003eBridging many divides--computer science and social science, the qualitative and the quantitative, and industry and academia--\u003ci\u003eText as Data\u003c\/i\u003e 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.\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eOverview of how to use text as data\u003c\/li\u003e\n\u003cli\u003eResearch design for a world of data deluge\u003c\/li\u003e\n\u003cli\u003eExamples from across the social sciences and industry\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eJustin Grimmer\u003c\/b\u003e is professor of political science and a senior fellow at the Hoover Institution at Stanford University. Twitter @justingrimmer \u003cb\u003eMargaret E. Roberts\u003c\/b\u003e is associate professor in political science and the Halıcıoğlu Data Science Institute at the University of California, San Diego. Twitter @mollyeroberts \u003cb\u003eBrandon M. Stewart\u003c\/b\u003e is assistant professor of sociology and Arthur H. Scribner Bicentennial Preceptor at Princeton University. Twitter @b_m_stewart\u003cbr\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":50670337360146,"sku":"9780691207551","price":50.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_a258f379-d55e-44d1-ab84-ffbbf1ecadf4.jpg?v=1733776865","url":"https:\/\/surprise-castle.myshopify.com\/products\/text-as-data-a-new-framework-for-machine-learning-and-the-social-sciences-9780691207551","provider":"Surprise Castle","version":"1.0","type":"link"}