35.2431, Books: Text Analytics for Corpus Linguistics and Digital Humanities: Schneider (2024)

[The LINGUIST List]

LINGUIST List: Vol-35-2431. Fri Sep 06 2024. ISSN: 1069 - 4875.

Subject: 35.2431, Books: Text Analytics for Corpus Linguistics and Digital Humanities: Schneider (2024)

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Date: 05-Sep-2024
From: Rachel Bradshaw [rachel.bradshaw at bloomsbury.com]
Subject: Text Analytics for Corpus Linguistics and Digital Humanities: Schneider (2024)


Title: Text Analytics for Corpus Linguistics and Digital Humanities
Subtitle: Simple R Scripts and Tools
Series Title: Language, Data Science and Digital Humanities
Publication Year: 2024
Publisher: Bloomsbury Publishing
                http://www.bloomsbury.com/uk/
Book URL: https://www.bloomsbury.com/text-analytics-for-corpus-linguis
tics-and-digital-humanities-9781350370821/

Author: Gerold Schneider
Hardback: ISBN: 9781350370821 Pages: 236 Price: U.K. £ 95
Abstract:

Do you want to gain a deeper understanding of how big tech analyses
and exploits our text data, or investigate how political parties
differ by analysing textual styles, associations and trends in
documents? Or create a map of a text collection and write a simple QA
system yourself?

This book explores how to apply state-of-the-art text analytics
methods to detect and visualise phenomena in text data. Solidly based
on methods from corpus linguistics, natural language processing, text
analytics and digital humanities, this book shows readers how to
conduct experiments with their own corpora and research questions,
underpin their theories, quantify the differences and pinpoint
characteristics. Case studies and experiments are detailed in every
chapter using real-world and open access corpora from politics, World
English, history, and literature. The results are interpreted and put
into perspective, pitfalls are pointed out, and necessary
pre-processing steps are demonstrated. This book 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.

Linguistic Field(s): Computational Linguistics
                     General Linguistics

Written In: English (eng)



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