Authorship attribution and stylometric analysis of Dickens's journals
| Project/Area Number |
15K02600
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
English linguistics
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| Research Institution | Osaka University |
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Principal Investigator |
Tabata Tomoji 大阪大学, 言語文化研究科(言語文化専攻), 准教授 (10249873)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Dickens / style markers / authorial takeover / data mining / machine learning / stylometry / authorship attribution / mixed authorship / 著者識別法 / 文体 / 計量文体分析 / ディケンズ / 視覚化 / collaboration / digital humanities / stylistics / 計量文体学 / 著者推定 / ディケンズ・ジャーナル / テクストマイニング / デジタル・ヒューマニティーズ |
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| Outline of Final Research Achievements |
Exhaustive comparative analysis has been carried out on a wide range of data mining techniques to help develop a highly accurate style variation detector on texts of mixed authorship. The development of the analytical methods draws heavily on machine-learning approaches in an effort to identify subtle stylistic shifts or variations in texts. The stylometric authorship attribution methods studied in this research have achieved a high degree of accuracy, making it possible to pinpoint where one author takes over from the other in texts of mixed authorship.
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Report
(4 results)
Research Products
(23 results)
