Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032846305 ISBN 13: 9781032846309
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032846305 ISBN 13: 9781032846309
Da: Majestic Books, Hounslow, Regno Unito
EUR 42,06
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Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032846305 ISBN 13: 9781032846309
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 53,76
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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EUR 60,77
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Aggiungi al carrelloPaperback. Condizione: Brand New. 140 pages. 9.00x6.00x9.02 inches. In Stock.
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Aggiungi al carrelloCondizione: New. Chris J. Vargo is an Associate Professor in the College of Media, Communication, and Information and Leeds School of Business (Courtesy) at the University of Colorado Boulder, USA. His research primarily focuses on the intersection of computationa.
Da: preigu, Osnabrück, Germania
EUR 48,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. The Computational Content Analyst | Using Machine Learning to Classify Media Messages | Chris J. Vargo | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Routledge | EAN 9781032846309 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 60,81
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 48,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 144 pp. Englisch.
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032846305 ISBN 13: 9781032846309
Da: CitiRetail, Stevenage, Regno Unito
EUR 48,64
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Most digital content, whether it be thousands of news articles or millions of social media posts, is too large for the naked eye alone. Often, the advent of immense datasets requires a more productive approach to labeling media beyond a team of researchers. This book offers practical guidance and Python code to traverse the vast expanses of datasignificantly enhancing productivity without compromising scholarly integrity. Well survey a wide array of computer-based classification approaches, focusing on easy-to-understand methodological explanations and best practices to ensure that your data is being labeled accurately and precisely. By reading this book, you should leave with an understanding of how to select the best computational content analysis methodology to your needs for the data and problem you have.This guide gives researchers the tools they need to amplify their analytical reach through the integration of content analysis with computational classification approaches, including machine learning and the latest advancements in generative artificial intelligence (AI) and large language models (LLMs). It is particularly useful for academic researchers looking to classify media data and advanced scholars in mass communications research, media studies, digital communication, political communication, and journalism.Complementing the book are online resources: datasets for practice, Python code scripts, extended exercise solutions, and practice quizzes for students, as well as test banks and essay prompts for instructors. Please This guide gives researchers the tools they need to amplify their analytical reach through the integration of content analysis with computational classification approaches, including machine learning and the latest advancements in generative AI and Large Language Models (LLMs). It is particularly useful for academic researchers and students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 55,77
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.