Text Analytics for corpus linguistics and digital humanities: simple r scripts and tools
Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how political parties differ by analyzing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This open access...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York ; Oxford ; New Dehli ; Sydney
Bloomsbury Academic
2024
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| Schriftenreihe: | Language, data science and digital humanities
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| Schlagworte: | |
| Online-Zugang: | Cover Inhaltsverzeichnis |
| Zusammenfassung: | Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how political parties differ by analyzing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This open access book explores how to apply state-of-the-art text analytics methods to detect and visualize 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 introduced can be used across texts of all disciplines, from history or literature to party manifestos and patient reports.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com |
| Beschreibung: | ix, 224 Seiten Illustrationen, Diagramme |
| ISBN: | 9781350370821 |
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Datensatz im Suchindex
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Contents List of Figures ■ viii List of Tables x Acknowledgements xi 1 Introduction 1 Spikes of Frequencies 17 3 Frequency Lists 39 4 Overuse and Keywords 55 '2 75 5 Document Classification 6 Topic Modelling 105 7 Kernel Density Estimation for Conceptual Maps 141 8 Distributional Semantics and Word Embeddings 9 BERT and GPT-x Models 10 Conclusion 165 185 203 Notes 207 References 211 Index 223 |
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| author | Schneider, Gerold |
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| spelling | Schneider, Gerold Verfasser (DE-588)140606904 aut Text Analytics for corpus linguistics and digital humanities simple r scripts and tools Gerold Schneider London ; New York ; Oxford ; New Dehli ; Sydney Bloomsbury Academic 2024 ix, 224 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Language, data science and digital humanities Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how political parties differ by analyzing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This open access book explores how to apply state-of-the-art text analytics methods to detect and visualize 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 introduced can be used across texts of all disciplines, from history or literature to party manifestos and patient reports.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com Digital Humanities (DE-588)1038714850 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Textanalyse (DE-588)4194196-2 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Text data mining R (Computer program language) Corpora (Linguistics) / Data processing Digital humanities / Research / Methodology COMPUTERS / Natural Language Processing COMPUTERS / Programming Languages / General Computational linguistics Computerlinguistik und Korpuslinguistik Data analysis: general Datenwissenschaft und -analyse: allgemein LANGUAGE ARTS & DISCIPLINES / Library & Information Science Programmier- und Skriptsprachen, allgemein Programming & scripting languages: general Digital Humanities (DE-588)1038714850 s Computerlinguistik (DE-588)4035843-4 s Data Mining (DE-588)4428654-5 s Korpus Linguistik (DE-588)4165338-5 s Textanalyse (DE-588)4194196-2 s DE-604 Erscheint auch als Online-Ausgabe 9781350370852 9781350370838 9781350370845 https://www.dietmardreier.de/annot/426F6F6B446174617C7C393738313335303337303832317C7C434F50.jpg?sq=2 Verlag Cover Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035226020&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Schneider, Gerold Text Analytics for corpus linguistics and digital humanities simple r scripts and tools Digital Humanities (DE-588)1038714850 gnd Data Mining (DE-588)4428654-5 gnd Textanalyse (DE-588)4194196-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| subject_GND | (DE-588)1038714850 (DE-588)4428654-5 (DE-588)4194196-2 (DE-588)4165338-5 (DE-588)4035843-4 |
| title | Text Analytics for corpus linguistics and digital humanities simple r scripts and tools |
| title_auth | Text Analytics for corpus linguistics and digital humanities simple r scripts and tools |
| title_exact_search | Text Analytics for corpus linguistics and digital humanities simple r scripts and tools |
| title_full | Text Analytics for corpus linguistics and digital humanities simple r scripts and tools Gerold Schneider |
| title_fullStr | Text Analytics for corpus linguistics and digital humanities simple r scripts and tools Gerold Schneider |
| title_full_unstemmed | Text Analytics for corpus linguistics and digital humanities simple r scripts and tools Gerold Schneider |
| title_short | Text Analytics for corpus linguistics and digital humanities |
| title_sort | text analytics for corpus linguistics and digital humanities simple r scripts and tools |
| title_sub | simple r scripts and tools |
| topic | Digital Humanities (DE-588)1038714850 gnd Data Mining (DE-588)4428654-5 gnd Textanalyse (DE-588)4194196-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| topic_facet | Digital Humanities Data Mining Textanalyse Korpus Linguistik Computerlinguistik |
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