Isbn: 9781350370869 - text analytics for corpus linguistics and digital humanities: simple r scripts and tools (20 risultati)

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  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, London, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: new. Paperback. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Academic 11/27/2025, 2025

    135037086X / 9781350370869

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    Paperback or Softback. Condizione: New. Text Analytics for Corpus Linguistics and Digital Humanities: Simple R Scripts and Tools. Book.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury USA Academic, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: Brand New. 236 pages. 9.22x6.14x1.01 inches. In Stock.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, London, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: new. Paperback. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

  • Lingua: Inglese

    Editore: Bloomsbury Publishing PLC, London, 2025

    135037086X / 9781350370869

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    Paperback. Condizione: new. Paperback. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents Or create a map of a text collection and write a simple QA system yourself This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

  • Lingua: Inglese

    Editore: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Taschenbuch. Condizione: Neu. Text Analytics for Corpus Linguistics and Digital Humanities | Simple R Scripts and Tools | Gerold Schneider | Taschenbuch | Language, Data Science and Digital Humanities | Englisch | 2025 | Bloomsbury Academic | EAN 9781350370869 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.