Text mining Mill: Computationally detecting influence in the writings of John Stuart Mill from library records
العنوان: | Text mining Mill: Computationally detecting influence in the writings of John Stuart Mill from library records |
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المؤلفون: | David A. Smith, Helen O’Neill, Anne Welsh, Glenn Roe, Melissa Terras |
المساهمون: | Royal Holloway [University of London] (RHUL), Khoury College of Computer Sciences [Boston], Northeastern University [Boston], Centre d’étude de la langue et des littératures françaises (CELLF), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), University College of London [London] (UCL) |
المصدر: | Digital Scholarship in the Humanities Digital Scholarship in the Humanities, Oxford University Press, 2021, 36 (4), pp.1013-1029. ⟨10.1093/llc/fqab010⟩ O'Neill, H, Welsh, A, Smith, D A, Roe, G & Terras, M 2021, ' Text mining Mill : Computationally detecting influence in the writings of John Stuart Mill from library records ', Digital Scholarship in the Humanities, vol. 36, no. 4, fqab010, pp. 1013-1029 . https://doi.org/10.1093/llc/fqab010 |
بيانات النشر: | Oxford University Press (OUP), 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Linguistics and Language, History, Mill, Art history, Language and Linguistics, [SHS]Humanities and Social Sciences, Computer Science Applications, Information Systems |
الوصف: | How can computational methods illuminate the relationship between a leading intellectual, and their lifetime library membership? We report here on an international collaboration that explored the interrelation between the reading record and the publications of the British philosopher and economist John Stuart Mill, focusing on his relationship with the London Library, an independent lending library of which Mill was a member for 32 years. Building on detailed archival research of the London Library’s lending and book donation records, a digital library of texts borrowed, and publications produced was assembled, which enabled natural language processing approaches to detect textual reuse and similarity, establishing the relationship between Mill and the Library. Text mining the books Mill borrowed and donated against his published outputs demonstrates that the collections of the London Library influenced his thought, transferred into his published oeuvre, and featured in his role as political commentator and public moralist. We reconceive archival library issue registers as data for triangulating against the growing body of digitized historical texts and the output of leading intellectual figures. We acknowledge, however, that this approach is dependent on the resources and permissions to transcribe extant library registers, and on access to previously digitized sources. Related copyright and privacy restrictions mean our approach is most likely to succeed for other leading eighteenth- and nineteenth-century figures. |
وصف الملف: | application/pdf |
تدمد: | 2055-768X 2055-7671 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a017d41f3ae3e98e9ec8b9cf8b3c01da https://doi.org/10.1093/llc/fqab010 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....a017d41f3ae3e98e9ec8b9cf8b3c01da |
قاعدة البيانات: | OpenAIRE |
تدمد: | 2055768X 20557671 |
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