Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: Cambridge University Press 3/17/2022, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Text Analysis in Python for Social Scientists 0.32. Book.
Editore: Cambridge University Press 1/21/2021, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Text Analysis in Python for Social Scientists 0.33. Book.
Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
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Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 29,39
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it. Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works, and the Python code to implement it. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 29,39
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 28,81
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Russell Books, Victoria, BC, Canada
EUR 26,73
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: Russell Books, Victoria, BC, Canada
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 22,17
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: Cambridge University Press 2022-03, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 18,26
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Editore: Cambridge University Press 2020-12-31, 2020
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 18,58
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 21,59
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 75 pages. 9.00x6.00x0.21 inches. In Stock.
Editore: Cambridge University Press, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 25,61
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Editore: Cambridge University Press, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Editore: Cambridge University Press Jan 2021, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 33,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - A practical guide to text analysis with Python: the intuition, the math, the code.
Editore: Cambridge University Press Mär 2022, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 33,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods.
Editore: Cambridge University Press, Cambridge, 2022
ISBN 10: 1108958508 ISBN 13: 9781108958509
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 26,60
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 26,60
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it. Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works, and the Python code to implement it. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108819826 ISBN 13: 9781108819824
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 42,39
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it. Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works, and the Python code to implement it. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.