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Author: Princeton University Publisher: Palala Press ISBN: 9781342753571 Category : Languages : en Pages : 36
Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Justin Grimmer Publisher: Princeton University Press ISBN: 0691207550 Category : Computers Languages : en Pages : 360
Book Description
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 data Research design for a world of data deluge Examples from across the social sciences and industry
Author: M. Peters Publisher: Springer ISBN: 1403980640 Category : Philosophy Languages : en Pages : 230
Book Description
Responding to Jacques Derrida's vision for what a 'new' humanities should strive toward, Peter Trifonas and Michael Peters gather together in a single volume original essays by major scholars in the humanities today. Using Derrida's seven programmatic theses as a springboard, the contributors aim to reimagine, as Derrida did, the tasks for the new humanities in such areas as history of literature, history of democracy, history of profession, idea of sovereignty, and history of man. Deconstructing Derrida engages Jacques Derrida's polemic on the future of the humanities to come and expands on the notion of what us proper to the humanities in the current age of globalism and change.
Author: Elena Llaudet Publisher: Princeton University Press ISBN: 0691199434 Category : Computers Languages : en Pages : 256
Book Description
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
Author: Mark Amsler Publisher: University of Delaware Press ISBN: 9780874132960 Category : Literary Criticism Languages : en Pages : 238
Book Description
Seming and being / Glenn W. Most -- History, technical style, and Chaucer's Treatise on the astrolabe / George Ovitt, Jr. -- Creation and responsibility in science / Leonard Isaacs -- History and geology as ways of studying the past / Stephen Brush -- Science's fictions / Stuart Peterfreund -- Creative problem-solving in physics, philosophy, and painting / Donald A. Crosby and Ron G. Williams.
Author: Marilynn B. Brewer Publisher: Psychology Press ISBN: 1135065330 Category : Psychology Languages : en Pages : 113
Book Description
This special issue provides a view of the past, present, and future of the field of personality and social psychology as an interdisciplinary endeavor. Collectively, the articles illustrate the vital contributions that can be made pursuing the reciprocal connections between personality/social psychology and psychobiology; developmental psychology; comparative psychology and evolutionary biology; clinical and health psychology; communication studies; organizational studies and systems theory; and cultural anthropology. The papers reflect the collective past and present of the field and set an agenda for a collective future.