Yunsong Chen (74 results)

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Hardback. Condition: New. This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, generate new theories, calibrate indicators, and strengthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts II-IV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts V-VI), it shows how unsupervised machine learning can map the structure of large-scale cultural texts-such as online novels and film databases-making complex cultural patterns visible across time and space.…

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Taschenbuch. Condition: Neu. Understanding China through Big Data | Applications of Theory-oriented Quantitative Approaches | Yunsong Chen (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Routledge | EAN 9780367758257 | Verantwortliche Person für die EU: Taylor and Francis, Taylor & Francis Verlag Gmbh, Kaufingerstr 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …

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Hardback. Condition: New. This open access book explores how machine learning can enhance both quantitative and qualitative research in sociology. By developing algorithms tailored to specific data, machine learning enables social scientists to uncover patterns, generate new theories, calibrate indicators, and strengthen causal inference. The book offers an accessible introduction to the principles and applications of supervised and unsupervised learning (Part I), followed by empirical case studies across key areas of sociological research. In the social prediction section (Parts II-IV), it illustrates how supervised learning can 1) impute missing indicators, 2) derive theories directly from data, and 3) improve causal inference through counterfactual construction. In the culture modeling section (Parts V-VI), it shows how unsupervised machine learning can map the structure of large-scale cultural texts-such as online novels and film databases-making complex cultural patterns visible across time and space.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a series of studies focusing on the role of social capital in the labor market and beyond. Using the effect of individual social capital on labor markets as an example, this book pays special attention to the origins of and solutions to the endogeneity problem. It uses several identification strategies to systematically test for the causal effects of social capital.First, this book constitutes the first attempt to offer a systematic account of the progress made by social scientists in improving causal inferences into the role of social capital in labor markets. Second, the book adopts specialized approaches-both classical and new-toward different sources of endogeneity. Incorporating the latest research from outside fields, such as economics, into sociological research is a small but significant methodological innovation. Third, in addition to empirical research, this book undertakes an innovative exploration of the theory of social capital. It creativelyexplains the dynamic evolution of social capital, which helps balance objectivism and subjectivism when analyzing interpersonal actions.For sociologists who focus on quantitative research methods and social capital, scholars who study Chinese societies, and related students, this book provides both advanced methods and rich empirical research.…