Aside from TEI/XML-s, API-s and network metics, #DraCor now has a heart! 💙 @umblaetterer look, DraCor logo woven into a heart by @quinnanya

#DH2023 #DigitalHumanities #ProgrammableCorpora #DIY

Yay, Ukrainian🇺🇦 #DraCor at last! Networks of Lesya Ukrainka, Marko Kropyvnytskyi (aka the Ukrainian Shakespeare), Taras Shevchenko, Vasili Gogol-Yanovsky (the father of Nikolai Gogol) & more 💁 Also, this is likely the most feminist ♀️corpus on dracor (42.5% female authorship!)
Check at dracor.org/u

If you want to know more about the Ukrainian Drama Corpus, the geography of #DraCor, and the opportunities for collaboration (a wink 😉 to the @dh2023graz) — come see our poster (no 16) at the #DH2023 poster session
Daniil @skorinkin & Luca Giovannini will be there to answer your questions 💁
#ProgrammableCorpora #NetworkAnalysis

Today is a big day for #DraCor: we release the 🇺🇦Ukrainian🇺🇦 Drama corpus! It started with a list of plays compiled by a Ukrainian philologist Bohdan Tokarskyi & was encoded in #TEI with some help from a Ukrainian comp. linguist
@dudarjulia 🙏🙏 Also UDraCor wouldn't happen without the work of @skorinkin & Carsten Milling and the support & advice from @peertrilcke, @umblaetterer & @ingoboerner 🙏🙏🙏
Last but not least @sucho was always an inspiring example for us
#DigitalHumanities
#ProgrammableCorpora #NetworkAnalysis
#ComputationalLiteraryStudies #StandWithUkraine

The law of nature that GitHub commit descriptions shorten as work progresses has been proven true once more😅
#DraCor #DigitalHumanities #ComputationalLiteraryStudies #AcademicTwitter

Would you like to know how to automatically process multiple texts from #dracor and create nice data visualizations? Join the #rdracor R package creator and
@CLSinfra fellow
@pozdniakov_is in our second Rdracor webinar on May 24! This time we will focus on processing textual data

Register at http://rdracor.de/

Would you like to see data analysis and visualisation of thousandss of #DraCor plays made easy & fun? Then register for the rdracor webinar & live coding session! The star of the show is the Rdracor creator himself 🧙‍♂️

⏰ May 10, 14:00 CET, Zoom Meeting Room of DH Potsdam.
📝 Registration at https://www.uni-potsdam.de/de/digital-humanities/aktivitaeten/rdracor-webinar (register to get the zoom link!)

👀 Check out this interview with Peer Trilcke and the CLS INFRA team at Potsdam. They have been working hard on #DraCor. https://www.uni-potsdam.de/de/nachrichten/detail/2023-04-11-wenn-dramen-durch-den-rechner-laufen-die-literaturwissenschaft-wird-digital

RT @umblaetterer@twitter.com

#DraCor provides co-occurrence data out-of-the-box for every play on the platform, just go to the Download tab + get the GEXF or GraphML file + load them into #Gephisto (+ share results on Twitter or Mastodon 😊).

Other examples:
https://dracor.org/id/fre000784#downloads
https://dracor.org/id/greek000017#downloads

🐦🔗: https://twitter.com/umblaetterer/status/1603669176568233984

Accidentally the latest play we added to the 🇺🇦 #DraCor collection of TEI-encoded drama is set in the #Kherson region. Its original name is ‘Hunger’ and it describes the terrible famine of 1921-1922 in Ukraine. Soviet censors forced its author Mykola Kulish to rename the play to '97' and add a 'happy ending'. Kulish was executed in 1937.
97 is the number of poor peasants in a fictional village (and the number of measures of bread that appear in the 'happy ending'). Power struggle between 'the poor' and 'the rich' is the central conflict in this play. Automatic clustering of the social network shows the division between these two antagonistic groups almost without a flaw! Here, like in the famous #KarateClub, we have a gold standard: the author specified 'the poor' and 'the rich' in the cast list
#DigitalHumanities
#ComputationalLiteraryStudies
#SocialNetworks

nice work on educational potential of playing cards to engage students with network analysis for literary scholarship!

#dracor #dramenquartett #dhd2020

RT @dennmis@twitter.com

#FoLD #ForschenLernenDigital #DHd2020 Netzwerkanalyse spielerisch vermitteln mit DraCor und forText in Form des Kartenspiels „Dramenquartett“ @peertrilcke@twitter.com @umblaetterer@twitter.com @M_K_Schumacher@twitter.com @fortext_catma@twitter.com

🐦🔗: https://twitter.com/dennmis/status/1235484582792683520

RT @umblaetterer@twitter.com

Using webweb and netwulf with #DraCor's API to Generate Interactive Literary Co-Occurrence Networks: https://weltliteratur.net/netwulf-webweb/ #networkx #python @DanLarremore@twitter.com @BenFMaier@twitter.com @ulfaslak@twitter.com – with @happypuffin7@twitter.com; thx to @FrueheNeuzeit@twitter.com for the idea!

🐦🔗: https://twitter.com/umblaetterer/status/1171321679848660992