2013 Fiscal Year Final Research Report
Stylometric investigation of 19th-century English through text-mining
Project/Area Number |
23500298
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Library and information science/Humanistic social informatics
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Research Institution | Osaka University |
Principal Investigator |
TABATA Tomoji 大阪大学, 言語文化研究科(研究院), 准教授 (10249873)
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Project Period (FY) |
2011 – 2013
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Keywords | 19世紀英語 / 文体 / マイニング / stylometry |
Research Abstract |
This grant-in-aid study has tried applying the state-of-art data-minig tools in stylistic investigation of nineteenth-century English prose. The linguistic features analysed in this research range from very common function words through mid- to lower-frequency items. While nineteenth-centurry English shares, in principle, similar linguistic features with eighteenth-century English as well as English in the early twentieth-century, it has proved to be possible to clearly differentiate nineteenth-century texts from texts written in the eighteenth as well as in the early twentieth centuries using machine learning techniques. Major distinguishing variables extracted though machine-learning mining algorithms include body-part languages, which function as descriptors of emotion or as device for characterisation. Of further interest is that Charles Dickens triggered the significant development of such stylistic devices in the nineteenth century.
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[Presentation] Statistical text-mining on English Woman's Journal2011
Author(s)
Tomoji Tabata, Harold Short, Gerhard Brey, Maki Miyake, Yuichiro Kobayashi, José Miguel Monteiro Vieira, Matteo Romanello
Organizer
Osaka Symposium on Digital Humanities 2011
Place of Presentation
Graduate School of Language and Culture, Osaka University
Year and Date
20110912-14
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