Text Analytics for Corpus Linguistics and Digital Humanities: Simple R Scripts and Tools (Language, Data Science and Digital Humanities)
Schneider, Gerold
ISBN 10: 135037086X ISBN 13: 9781350370869
Editore: Bloomsbury Academic, 2025
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Codice articolo 18403864334
Riassunto:
Introduces readers to powerful natural language processing methods and provides easy-to-use R scripts and tools for text analytics.
Informazioni sull?autore: Gerold Schneider is Adjunct Professor at the Department of Computational Linguistics of the University of Zurich, Switzerland.
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Dati bibliografici
Titolo: Text Analytics for Corpus Linguistics and ...
Casa editrice: Bloomsbury Academic
Data di pubblicazione: 2025
Legatura: Brossura
Condizione: New
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Text Analytics for Corpus Linguistics and Digital Humanities
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ISBN 10: 135037086X
ISBN 13: 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. Codice articolo LU-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. Codice articolo 9781350370869
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Text Analytics for Corpus Linguistics and Digital Humanities : Simple R Scripts and Tools
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ISBN 10: 135037086X
ISBN 13: 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. Codice articolo LU-9781350370869
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Text Analytics for Corpus Linguistics and Digital Humanities : Simple R Scripts and Tools
Editore:
Bloomsbury Academic, 2025
ISBN 10: 135037086X
ISBN 13: 9781350370869
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