An Introduction to Quantitative Text Analysis for Linguistics : Reproducible Research Using R
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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Routledge
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4018270&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4018270 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: An Introduction to Quantitative Text Analysis for Linguistics : Reproducible Research Using R aug: au: Jerid Francom isbn: 9781032494265 9781032494272 9781040153444 9781040153451 imageinfo: pubinfo: dt: @attributes: year: 2025 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 12 day: 05 pub: Routledge pubContract: Taylor & Francis (Unlimited) place: Abingdon, Oxon price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 006.35 item: 006 .35 lc: @attributes: class: P98.5.S83 item: P 98 .5 .S83 artinfo: ui: 4018270 1453411218 formats: fmt: – @attributes: type: EB doid: NL$4018270$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$4018270$EPUB caption: EPUB download: Y tig: atl: An Introduction to Quantitative Text Analysis for Linguistics : Reproducible Research Using R ptl: An Introduction to Quantitative Text Analysis for Linguistics aug: au: Jerid Francom su: Computational linguistics--Statistical methods R (Computer program language) Text data mining sug: subj: COMPUTERS / Artificial Intelligence / Natural Language Processing COMPUTERS / Data Science / Data Analytics LANGUAGE ARTS & DISCIPLINES / Linguistics / General Computational linguistics--Statistical methods R (Computer program language) Text data mining ab: 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. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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