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Enhancing and Extending the Digital Study of Intertextuality (pt. 2): Revealing Patterns of Intertextuality in Corpora of Secondary Literature

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Matteo Romanello
Matteo Romanello

Slides of my presentation at the Digital Classics Association's titled *Making Meaning from Data* at the 146th Annual Meeting of Society for Classical Studies (was American Philological Association).

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Enhancing and Extending the Digital Study of Intertextuality (pt. 2) Matteo Romanello (DAI/KCL) @mr56k “Making Meaning from Data” DCA Panel @ SCS annual meeting, New Orleans–January 11, 2015
Digital Study of Intertextuality Enhancing and Extending the Digital Study of Intertextuality: 1. finding new possible parallel passages
Digital Study of Intertextuality Enhancing and Extending the Digital Study of Intertextuality: 1. finding new possible parallel passages 2. creating a systematic index of already studied parallels
The Classicist’s Toolkit Tool Accuracy Granularity Coverage Indexes Locorum + + – Library Catalogues + – – Full-text Search – – + Automatic Citation Indexing +/– + +
Citation Extraction: Step 1, (Named Entity Recognition) Current accuracy (F1-score): 73,88%
Citation Extraction Step 2: (Relation Detection) Current accuracy (F1-score): 92,60%
Citation Extraction Step 3: (Disambiguation) Current accuracy (F1-score): 73,05%
Mining Citations from APh and JSTOR APh 80 volumes 8 % of vol. 75 (2004) 366 abstracts 26k tokens 380 citations JSTOR Classics 1,456 journals 171k articles 327m tokens Materiali e Discussioni (29 yrs: 1978-2006) 669 articles 5.6m tokens 40k citations
From Index to Network
From Texts to Network
APh: Micro-level
APh: Macro-level
APh: Meso-level
JSTOR: diachronic trends in MD (1978-2006) Diachronic trends of 5 most cited authors in MD (1978-2006)
Digital Study of Intertextuality: Future Work Combination of: discovery of new possible parallel passages systematic index of already studied parallels Scenario: use of the parallel frequency for ranking automatically identified candidates
Thank you for your attention! Questions? matteo.romanello@gmail.com https://twitter.com/mr56k Some Links: http://phd.mr56k.info/data/viz/macro.html http://phd.mr56k.info/data/viz/meso.html http://phd.mr56k.info/data/viz/micro.html https://github.com/mromanello/APh_Corpus https://github.com/mromanello/CRefEx

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Enhancing and Extending the Digital Study of Intertextuality (pt. 2): Revealing Patterns of Intertextuality in Corpora of Secondary Literature

  • 1. Enhancing and Extending the Digital Study of Intertextuality (pt. 2) Matteo Romanello (DAI/KCL) @mr56k “Making Meaning from Data” DCA Panel @ SCS annual meeting, New Orleans–January 11, 2015
  • 2. Digital Study of Intertextuality Enhancing and Extending the Digital Study of Intertextuality: 1. finding new possible parallel passages
  • 3. Digital Study of Intertextuality Enhancing and Extending the Digital Study of Intertextuality: 1. finding new possible parallel passages 2. creating a systematic index of already studied parallels
  • 4. The Classicist’s Toolkit Tool Accuracy Granularity Coverage Indexes Locorum + + – Library Catalogues + – – Full-text Search – – + Automatic Citation Indexing +/– + +
  • 5. Citation Extraction: Step 1, (Named Entity Recognition) Current accuracy (F1-score): 73,88%
  • 6. Citation Extraction Step 2: (Relation Detection) Current accuracy (F1-score): 92,60%
  • 7. Citation Extraction Step 3: (Disambiguation) Current accuracy (F1-score): 73,05%
  • 8. Mining Citations from APh and JSTOR APh 80 volumes 8 % of vol. 75 (2004) 366 abstracts 26k tokens 380 citations JSTOR Classics 1,456 journals 171k articles 327m tokens Materiali e Discussioni (29 yrs: 1978-2006) 669 articles 5.6m tokens 40k citations
  • 9. From Index to Network
  • 10. From Texts to Network
  • 14. JSTOR: diachronic trends in MD (1978-2006) Diachronic trends of 5 most cited authors in MD (1978-2006)
  • 15. Digital Study of Intertextuality: Future Work Combination of: discovery of new possible parallel passages systematic index of already studied parallels Scenario: use of the parallel frequency for ranking automatically identified candidates
  • 16. Thank you for your attention! Questions? matteo.romanello@gmail.com https://twitter.com/mr56k Some Links: http://phd.mr56k.info/data/viz/macro.html http://phd.mr56k.info/data/viz/meso.html http://phd.mr56k.info/data/viz/micro.html https://github.com/mromanello/APh_Corpus https://github.com/mromanello/CRefEx