{"product_id":"9781119680239","title":"Computational Analysis of Communication","description":"\u003ch1\u003eComputational Analysis of Communication\u003c\/h1\u003e\u003ch3\u003eWouter van Atteveldt | Damian Trilling | Carlos Arcila Calderon\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eSocial Science \/ Research\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eProvides clear guidance on leveraging computational techniques to answer social science questions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modeling, machine learning, and other computational techniques are revolutionizing the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more. \u003ci\u003eComputational Analysis of Communication\u003c\/i\u003e teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance.\u003c\/p\u003e \u003cp\u003eAssuming little or no background in data science or computer linguistics, this accessible textbook teaches readers how to use state-of-the art computational methods to perform data-driven analyses of social science issues. A cross-disciplinary team of authors—with expertise in both the social sciences and computer science—explains how to gather and clean data, manage textual, audio-visual, and network data, conduct statistical and quantitative analysis, and interpret, summarize, and visualize the results. Offered in a unique hybrid format that integrates print, ebook, and open-access online viewing, this innovative resource:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCovers the essential skills for social sciences courses on big data, data visualization, text analysis, predictive analytics, and others\u003c\/li\u003e \u003cli\u003eIntegrates theory, methods, and tools to provide unified approach to the subject\u003c\/li\u003e \u003cli\u003eIncludes sample code in Python and links to actual research questions and cases from social science and communication studies\u003c\/li\u003e \u003cli\u003eDiscusses ethical and normative issues relevant to privacy, data ownership, and reproducible social science\u003c\/li\u003e \u003cli\u003eDeveloped in partnership with the International Communication Association and by the editors of Computational Communication Research\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eComputational Analysis of Communication\u003c\/i\u003e is an invaluable textbook and reference for students taking computational methods courses in social sciences, and for professional social scientists looking to incorporate computational methods into their work.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eDr. Wouter van Atteveldt\u003c\/b\u003e is an Associate Professor of Political Communication at Vrije Universiteit, Amsterdam. He is co-founder of the Computational Methods division of the International Communication Association, and Founding Chief Editor of \u003ci\u003eComputational Communication Research.\u003c\/i\u003e He has published extensively on innovative methods for analyzing political text and contributed to a number of relevant R and Python packages.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Damian Trilling \u003c\/b\u003eis an Associate Professor, Department of Communication Science, at the University of Amsterdam, and Associate Editor of \u003ci\u003eComputational Communication Research.\u003c\/i\u003e His research uses computational methods such as the analysis of digital trace data and large-scale text analysis to study the use and effects of news media. He has developed extensive teaching materials to introduce social scientists to the Python programming language. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDr. Carlos Arcila Calderón\u003c\/b\u003e is an Associate Professor, Department of Sociology and Communication, at the University of Salamanca, Chief Editor of the journal Disertaciones, and member of the Editorial Board of \u003ci\u003eComputational Communication Research.\u003c\/i\u003e He has published extensively on new media and social media studies, and has led the prototype Autocop, a Spark-based environment to run distributed supervised sentiment analysis of Twitter messages.  \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e02 March 2022\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119680239\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e336\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e24.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315064828044,"sku":"9781119680239","price":43.16,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119680239_17d043a4-206d-4c6d-8223-e3a391ea92b3.jpg?v=1780239399","url":"https:\/\/lateknightbooks.com\/products\/9781119680239","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}