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Text analytics for corpus linguistics and digital humanities = simple 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 humanities/ Gerold 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.
內容註:	Spikes of frequencies -- Frequency lists -- Overuse and keywords -- Document classification -- Topic modelling -- Kernel density estimation for conceptual maps -- Distributional semantics -- BERT models.
標題:	Text data mining. -
電子資源:	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:

3495453
Text data mining.
Index Terms--Genre/Form:

542853
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 /
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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.
650 0 $a Text data mining. $3 3495453
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650 0 $a Corpora (Linguistics) $x Data processing. $3 3673776
650 0 $a Digital humanities $x Research $x Methodology. $3 3792955
650 6 $a R (Langage de programmation) $3 3792956
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650 6 $a Sciences humaines numériques $x Recherche $x Méthodologie. $3 3792958
655 4 $a Electronic books. $2 lcsh $3 542853
830 0 $a Language, data science and digital humanities. $3 3792954
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