Text analytics for corpus linguistics and digital humanities simple R scripts and tools / Gerold Schneider.

Author/creator Schneider, Gerold
Format Electronic
Publication InfoLondon ; New York : Bloomsbury Academic, 2024.
Descriptionix, 224 pages : illustrations ; 24 cm.
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

SeriesLanguage, data science and digital humanities
Contents Spikes of frequencies -- Frequency lists -- Overuse and keywords -- Document classification -- Topic modelling -- Kernel density estimation for conceptual maps -- Distributional semantics -- BERT models.
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023048287
ISBN9781350370821 (hardback)
ISBN9781350370869 (paperback)
ISBN(epub)
ISBN(ebook)

Availability

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Electronic Resources Access Content Online ✔ Available