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 in documents? This book explores how to apply state-of-the-art text analytics methods to detect and visualize phenomena in tex...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London ; New York
Bloomsbury Academic
2024
|
| Schriftenreihe: | Language, data science and digital humanities
Bloomsbury collections |
| Schlagworte: | |
| Online-Zugang: | DE-12 DE-188 DE-19 Volltext |
| 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 in documents? This 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." |
| Beschreibung: | 1 Online-Ressource (236 Seiten) Illustrationen |
| ISBN: | 9781350370852 9781350370838 9781350370845 |
| DOI: | 10.5040/9781350370852 |
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Datensatz im Suchindex
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| indexdate | 2024-12-04T17:00:29Z |
| institution | BVB |
| isbn | 9781350370852 9781350370838 9781350370845 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035085313 |
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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 Bloomsbury Academic 2024 1 Online-Ressource (236 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Language, data science and digital humanities Bloomsbury collections "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 in documents? This 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." 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 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 Druck-Ausgabe 978-1-350-37082-1 https://doi.org/10.5040/9781350370852?locatt=label:secondary_bloomsburyCollections Verlag URL des Erstveröffentlichers Volltext |
| 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 |
| url | https://doi.org/10.5040/9781350370852?locatt=label:secondary_bloomsburyCollections |
| work_keys_str_mv | AT schneidergerold textanalyticsforcorpuslinguisticsanddigitalhumanitiessimplerscriptsandtools |