An Introduction to Quantitative Text Analysis for Linguistics

An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R is a pragmatic textbook that equips students and researchers with the essential concepts and practical programming skills needed to conduct quantitative text analysis in a reproducible manner. Designed for u...

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Autore principale: Francom, Jerid
Natura: Online
Lingua:inglese
Pubblicazione: Taylor & Francis 2024
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Accesso online:ONIX_20240909_9781040153444_55
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author Francom, Jerid
author_browse Francom, Jerid
author_facet Francom, Jerid
author_sort Francom, Jerid
collection Directory of Open Access Books
description An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R is a pragmatic textbook that equips students and researchers with the essential concepts and practical programming skills needed to conduct quantitative text analysis in a reproducible manner. Designed for undergraduate students and those new to the field, this book assumes no prior experience with statistics or programming, making it an accessible resource for anyone embarking on their journey into quantitative text analysis. Through a pedagogical approach which emphasizes intuitive understanding over technical details, readers will gain data literacy by learning to identify, interpret, and evaluate data analysis procedures and results. They will also develop research skills, enabling them to design, implement, and communicate quantitative text analysis projects effectively. The book places a strong emphasis on programming skills, guiding readers through interactive lessons, tutorials, and lab activities using the R programming language and real-world datasets. This practical textbook is enriched with features that facilitate learning, including thought and practical exercises, a companion website that includes programming demonstrations to develop and augment readers’ recognition of how programming strategies are implemented, and a GitHub repository that contains both a set of interactive R programming lessons and lab exercises, which guide readers through practical hands-on programming applications. This textbook is an essential companion to any linguist looking to learn how to incorporate quantitative data analysis into their work. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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spelling doab-20.500.12854ir-1439052025-07-21T15:44:34Z An Introduction to Quantitative Text Analysis for Linguistics Francom, Jerid text analysis Jerid Francom quantitative text analysis R programming reproducible develop research skills programming skills applied linguistics real-world datasets pedagogical data literacy statistical methods statistics for linguists data analysis Textbook thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism thema EDItEUR::C Language and Linguistics::CF Linguistics thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R is a pragmatic textbook that equips students and researchers with the essential concepts and practical programming skills needed to conduct quantitative text analysis in a reproducible manner. Designed for undergraduate students and those new to the field, this book assumes no prior experience with statistics or programming, making it an accessible resource for anyone embarking on their journey into quantitative text analysis. Through a pedagogical approach which emphasizes intuitive understanding over technical details, readers will gain data literacy by learning to identify, interpret, and evaluate data analysis procedures and results. They will also develop research skills, enabling them to design, implement, and communicate quantitative text analysis projects effectively. The book places a strong emphasis on programming skills, guiding readers through interactive lessons, tutorials, and lab activities using the R programming language and real-world datasets. This practical textbook is enriched with features that facilitate learning, including thought and practical exercises, a companion website that includes programming demonstrations to develop and augment readers’ recognition of how programming strategies are implemented, and a GitHub repository that contains both a set of interactive R programming lessons and lab exercises, which guide readers through practical hands-on programming applications. This textbook is an essential companion to any linguist looking to learn how to incorporate quantitative data analysis into their work. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. 2024-09-10T04:34:41Z 2024-09-10T04:34:41Z 2024-09-09T15:06:30Z 2025 book ONIX_20240909_9781040153444_55 https://library.oapen.org/handle/20.500.12657/93115 9781040153444 9781040153451 9781032494272 9781003393764 9781032494265 https://directory.doabooks.org/handle/20.500.12854/143905 eng open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/93115/1/9781040153444.pdf https://library.oapen.org/bitstream/20.500.12657/93115/1/9781040153444.pdf Taylor & Francis Routledge 10.4324/9781003393764 10.4324/9781003393764 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Wake Forest University 604da228-c59d-4836-8d30-1e66fce2b22d 9781040153444 9781040153451 9781032494272 9781003393764 9781032494265 Routledge 368 Oxford [...] open access
spellingShingle text analysis
Jerid Francom
quantitative text analysis
R programming
reproducible
develop research skills
programming skills
applied linguistics
real-world datasets
pedagogical
data literacy
statistical methods
statistics for linguists
data analysis
Textbook
thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism
thema EDItEUR::C Language and Linguistics::CF Linguistics
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism
thema EDItEUR::C Language and Linguistics::CF Linguistics
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
Francom, Jerid
An Introduction to Quantitative Text Analysis for Linguistics
title An Introduction to Quantitative Text Analysis for Linguistics
title_full An Introduction to Quantitative Text Analysis for Linguistics
title_fullStr An Introduction to Quantitative Text Analysis for Linguistics
title_full_unstemmed An Introduction to Quantitative Text Analysis for Linguistics
title_short An Introduction to Quantitative Text Analysis for Linguistics
title_sort introduction to quantitative text analysis for linguistics
topic text analysis
Jerid Francom
quantitative text analysis
R programming
reproducible
develop research skills
programming skills
applied linguistics
real-world datasets
pedagogical
data literacy
statistical methods
statistics for linguists
data analysis
Textbook
thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism
thema EDItEUR::C Language and Linguistics::CF Linguistics
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism
thema EDItEUR::C Language and Linguistics::CF Linguistics
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
topic_facet text analysis
Jerid Francom
quantitative text analysis
R programming
reproducible
develop research skills
programming skills
applied linguistics
real-world datasets
pedagogical
data literacy
statistical methods
statistics for linguists
data analysis
Textbook
thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism
thema EDItEUR::C Language and Linguistics::CF Linguistics
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism
thema EDItEUR::C Language and Linguistics::CF Linguistics
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::C Language and Linguistics::CJ Language teaching and learning::CJA Language teaching theory and methods
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