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#stylo

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Urfist de Lyon

Avec le Réseau des URFIST, nous animons la formidable Semaine Numérique des Urfist du 17 au 21 mars prochain : une semaine de visio, un tour riche et foisonnant des outils/actualités de l'Information Scientifique et Technique, un oeuf de Pâques dans le jardin de l'ESR ! Il reste encore quelques places mais dépêchez-vous !
Tout le programme ici : lnkd.in/eQUbm_N3
#ist #science #OpenScience #sparql #stylo #OSm #heurist #Mastodon

lnkd.inLinkedInThis link will take you to a page that’s not on LinkedIn
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Urfist de Lyon

#HelloESR Voici donc notre programme de formation janvier-juin 2025, avec au menu du #python de la #TEI pas mal de #scienceouverte via #hal , #wikipedia, du #zotero du #tropy, du #markdown avec #stylo ou #obsidian de l'accessibilité numérique, des formations de formateurs et beaucoup d'autres choses encore.
RAPPEL: nos formations sont gratuites et ouvertes à tous les personnels relevant de l'ESR, certaines en ligne d'autres sur place, auquel cas nous offrons thé et café ! Au plaisir de vous y retrouver bientôt !
C'est ici : sygefor.reseau-urfist.fr/#/pro

sygefor.reseau-urfist.frSYGEFOR - SYstème de GEstion de FORmationLes URFIST (Unité Régionale de Formation à l'Information Scientifique et Technique) ont pour missions la recherche et la formation des usagers universitaires sur les outils, les pratiques et les évolutions de l'information scientifique.
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Christof Schöch

Now up at #DH2024, Maciej Eder, developer of #stylo and co-organizer of #DH2016 in #Krakow, on various distance measures for #Stylometry: "Manhattan, Euclidean and their Siblings. Exploring Exotic Measures of Text Similarities...".

Key idea: Manhattan distance is L1-norm based, Euclidean is L2. But we can vary this parameter for a wide range of values, from 0.1 to 10. Then evaluate accuracy for authorship attribution.

Result: For longer vectors, it pays off to use a value of less than 1!

Maciej on stage with slides next to him.
Maciej at the lectern with a slide behind him showing performance in a line plot, depending on two parameters: vector length and L value.
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JCLS

We're very proud to announce what will no doubt be a #highlight of #CCLS2024 (the third annual Conference on Computational Literary Studies):

Maciej Eder (Kraków) will give the evening keynote on: "Text Analysis Made Simple (Kind of), or Ten Years of #Stylo" (June 13, 2024, 5pm CEST).

Abstract and short bio here: jcls.io/site/ccls2024/keynote/

More information on the conference: jcls.io/site/ccls2024/

@EvelynGius @peertrilcke @fotis_jannidis

Screenshot of the website: CCLS2024 Keynote Maciej Eder: Text Analysis Made Simple (Kind of), or Ten Years of Stylo Vienna | June 13, 2024 Abstract The talk will revolve around software designed and developed specifically to perform text analysis tasks such as classification, clustering, and visualization. Special attention will be paid to the R library Stylo, which has been designed as a relatively simple, open source tool to conduct experiments in authorship attribution, but over the years evolved into fully-fledged set of functions tailored for different applications, including supervised and unsupervised classification, large-scale analyses following the ‘distant reading’ paradigm, sequential analysis of subsequent chunks of a text in question, and so forth. Apart from the original authorship attribution realm, the software can be used to address more general research questions, e.g. to trace genre, gender, chronology, intertextuality, and other stylometric ‘signals’. The talk will look back at the development of Stylo over the past ten years, including lessons learned for tool development, community engagement, teaching of text analysis methods, let alone tailoring the tool as new methodological inspirations and empirical investigations emerged in the fast developing field of stylometry.
Continued thread
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Christof Schöch

@tcdh – Apart from the pleasure of seeing literary studies, history and stylometry come together very nicely today, the discovery of the day (so far!) is Artjoms Sela's plugin for #stylo called "seetrees". github.com/perechen/seetrees/ – It allows you to see what words are associated with clusters in the dendrogram at different levels. Basically, it answers the question of *why* a cluster has been created, rather than just showing the cluster. A first test on #ELTeC-fra makes a lot of sense!

Screenshot showing multiple lists of words organized in columns of different colors, one for each cluster in the dendrogram (not shown).
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