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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Text analytics for corpus linguistics and digital humanitiesGerold Schneider.
其他題名:	simple R scripts and tools /
作者:	Schneider, Gerold.
出版者:	London ;Bloomsbury Academic,2024.
面頁冊數:	1 online resource (ix, 224 p.) :ill.
標題:	Text data mining.
電子資源:	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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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.
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655 4 $a Electronic books. $2 local. $3 214472
830 0 $a Language, data science and digital humanities. $3 994207
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