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Text analytics for corpus linguistics and digital humanitiessimple R scripts and tools /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Text analytics for corpus linguistics and digital humanitiesGerold Schneider.
Reminder of title:	simple R scripts and tools /
Author:	Schneider, Gerold.
Published:	London ;Bloomsbury Academic,2024.
Description:	1 online resource (ix, 224 p.) :ill.
Subject:	Text data mining.
Online resource:	https://doi.org/10.5040/9781350370852?locatt=label:secondary_bloomsburyCollections
ISBN:	9781350370852$q(ebook)

Text analytics for corpus linguistics and digital humanitiessimple R scripts and tools /
Schneider, Gerold.

Text analytics for corpus linguistics and digital humanitiessimple R scripts and tools /[electronic resource] :Gerold Schneider. - London ;Bloomsbury Academic,2024. - 1 online resource (ix, 224 p.) :ill. - Language, data science and digital humanities. - Language, data science and digital humanities..

Includes bibliographical references and index.

Spikes of frequencies -- Frequency lists -- Overuse and keywords -- Document classification -- Topic modelling -- Kernel density estimation for conceptual maps -- Distributional semantics -- BERT models.

"Helping to understand and apply state-of-the-art text analytics methods to detect and visualize phenomena in text data, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. It 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"--

ISBN: 9781350370852$q(ebook)Subjects--Topical Terms:

892173
Text data mining.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.9.D343 / S33 2024eb

Dewey Class. No.: 005.13/3

Text analytics for corpus linguistics and digital humanitiessimple R scripts and tools /
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245 1 0 $a Text analytics for corpus linguistics and digital humanities $h [electronic resource] : $b simple R scripts and tools / $c Gerold Schneider.
260 $a London ; $a New York : $b Bloomsbury Academic, $c 2024.
300 $a 1 online resource (ix, 224 p.) : $b ill.
490 1 $a Language, data science and digital humanities
504 $a Includes bibliographical references and index.
505 0 $a Spikes of frequencies -- Frequency lists -- Overuse and keywords -- Document classification -- Topic modelling -- Kernel density estimation for conceptual maps -- Distributional semantics -- BERT models.
520 $a "Helping to understand and apply state-of-the-art text analytics methods to detect and visualize phenomena in text data, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. It 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"-- $c Provided by publisher.
650 0 $a Text data mining. $3 892173
650 0 $a R (Computer program language) $3 210846
650 0 $a Corpora (Linguistics) $x Data processing. $3 949108
650 0 $a Digital humanities $x Research $x Methodology. $3 994208
650 6 $a R (Langage de programmation) $3 943796
650 6 $a Corpus (Linguistique) $x Informatique. $3 994209
650 6 $a Sciences humaines numériques $x Recherche $x Méthodologie. $3 994210
655 4 $a Electronic books. $2 local. $3 214472
830 0 $a Language, data science and digital humanities. $3 994207
856 4 0 $u https://doi.org/10.5040/9781350370852?locatt=label:secondary_bloomsburyCollections