• search hit 8 of 900
Back to Result List

Beyond lexical frequencies: using R for text analysis in the digital humanities

  • This paper presents a combination of R packages-user contributed toolkits written in a common core programming language-to facilitate the humanistic investigation of digitised, text-based corpora.Our survey of text analysis packages includes those of our own creation (cleanNLP and fasttextM) as well as packages built by other research groups (stringi, readtext, hyphenatr, quanteda, and hunspell). By operating on generic object types, these packages unite research innovations in corpus linguistics, natural language processing, machine learning, statistics, and digital humanities. We begin by extrapolating on the theoretical benefits of R as an elaborate gluing language for bringing together several areas of expertise and compare it to linguistic concordancers and other tool-based approaches to text analysis in the digital humanities. We then showcase the practical benefits of an ecosystem by illustrating how R packages have been integrated into a digital humanities project. Throughout, the focus is on moving beyond the bag-of-words,This paper presents a combination of R packages-user contributed toolkits written in a common core programming language-to facilitate the humanistic investigation of digitised, text-based corpora.Our survey of text analysis packages includes those of our own creation (cleanNLP and fasttextM) as well as packages built by other research groups (stringi, readtext, hyphenatr, quanteda, and hunspell). By operating on generic object types, these packages unite research innovations in corpus linguistics, natural language processing, machine learning, statistics, and digital humanities. We begin by extrapolating on the theoretical benefits of R as an elaborate gluing language for bringing together several areas of expertise and compare it to linguistic concordancers and other tool-based approaches to text analysis in the digital humanities. We then showcase the practical benefits of an ecosystem by illustrating how R packages have been integrated into a digital humanities project. Throughout, the focus is on moving beyond the bag-of-words, lexical frequency model by incorporating linguistically-driven analyses in research.show moreshow less

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Taylor ArnoldORCiDGND, Nicolas BallierORCiDGND, Paula LissonORCiD, Lauren TiltonORCiDGND
DOI:https://doi.org/10.1007/s10579-019-09456-6
ISSN:1574-020X
ISSN:1574-0218
Title of parent work (English):Language resources and evaluation
Publisher:Springer
Place of publishing:Dordrecht
Publication type:Article
Language:English
Year of first publication:2019
Publication year:2019
Release date:2020/09/28
Tag:Digital humanities; R; Text interoperability; Text mining
Volume:53
Issue:4
Number of pages:27
First page:707
Last Page:733
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik
DDC classification:4 Sprache / 41 Linguistik / 410 Linguistik
Peer review:Referiert
Institution name at the time of the publication:Humanwissenschaftliche Fakultät / Institut für Linguistik / Allgemeine Sprachwissenschaft
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.