Isbn: 9781350370869 - text analytics for corpus linguistics and digital humanities: simple r scripts and tools (language; data science and digital humanities) (20 resultados)

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  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, London, 2025

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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  • Idioma: Inglés

    Editorial: Bloomsbury Academic 11/27/2025, 2025

    135037086X / 9781350370869

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    Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores

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

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Condición: New.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore

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    Condición: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

  • Idioma: Inglés

    Editorial: Bloomsbury USA Academic, 2025

    135037086X / 9781350370869

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

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    Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.

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    Condición: New. 2025. paperback. . . . . .

  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, London, 2025

    135037086X / 9781350370869

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, GB, 2025

    135037086X / 9781350370869

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    Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Publishing PLC, London, 2025

    135037086X / 9781350370869

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    Paperback. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: 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.

  • Idioma: Inglés

    Editorial: Bloomsbury Academic, 2025

    135037086X / 9781350370869

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: 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.