國立虎尾科技大學 |

Text analytics for corpus linguistics and digital humanities = simple R scripts and tools /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Text analytics for corpus linguistics and digital humanities/ Gerold 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

Text analytics for corpus linguistics and digital humanities = simple 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: 9781350370852Subjects--Topical Terms:

1441399
Text data mining.
Index Terms--Genre/Form:

554714
Electronic books.

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

Dewey Class. No.: 005.13/3

Text analytics for corpus linguistics and digital humanities = simple R scripts and tools /
LDR:02070nam a2200313 a 4500 001 1168495
006 m o d
007 cr nn |||muauu
008 251230s2024 enka ob 001 0 eng
020 $a 9781350370852 $q (ebook)
020 $a 9781350370845 $q (ebook)
020 $a 9781350370838 $q (ebook)
020 $z 9781350370821 $q (hardback)
020 $z 1350370827 $q (hardback)
020 $z 9781350370869 $q (paperback)
020 $z 135037086X $q (paperback)
035 $a (OCoLC)1425791730
035 $a 1377702801
040 $a DLC $b eng $c DLC $d OCLCO $d YDX $d SOI $d IG$ $d AUXAM $d OCLCL
041 0 $a eng
050 0 0 $a QA76.9.D343 $b S33 2024eb
082 0 0 $a 005.13/3 $2 23/eng/20231229
100 1 $a Schneider, Gerold. $3 1498205
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 1441399
650 0 $a R (Computer program language) $3 679069
650 0 $a Corpora (Linguistics) $x Data processing. $3 1426741
650 0 $a Digital humanities $x Research $x Methodology. $3 1498207
650 6 $a R (Langage de programmation) $3 1498208
650 6 $a Corpus (Linguistique) $x Informatique. $3 1498209
650 6 $a Sciences humaines numériques $x Recherche $x Méthodologie. $3 1498210
655 4 $a Electronic books. $2 local $3 554714
830 0 $a Language, data science and digital humanities. $3 1498206
856 4 0 $u https://doi.org/10.5040/9781350370852?locatt=label:secondary_bloomsburyCollections