#keyness
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dimsie.bsky.social
The only things stopping us from full-on lunacy all the time:
- general low-keyness and secularism
- Māori
- bolshy women
September 23, 2025 at 7:49 AM
markmcglashan.com
Free symposium: 30 Years of Keyness

Talks from:
· Mike Scott
· @tonymcenery.bsky.social
· @michamahlberg.bsky.social & @andreaswagnr.bsky.social
· @issyclarke.bsky.social
· @markmcglashan.com

📅 22/06/2026, 10:00 (UTC+0)
🌍 @sotauol.bsky.social
➡️ Register: www.ticketsource.com/school-of-th...
www.ticketsource.com
May 21, 2026 at 10:08 AM
journolinguist.bsky.social
30 Years of Keyness – in honour of Mike Scott - June 22 from 10 (GMT), free event online and in person. Don't miss this opportunity to learn about keyness from the best experts and to celebrate the wonderful Mike Scott www.ticketsource.com/school-of-th...
www.ticketsource.com
May 22, 2026 at 11:27 AM
markmcglashan.com
A Brucie Bonus (Scotty Supplement?) for those travelling home from @corporadiscourse.bsky.social

Here's the full live stream of '30 Years of Keyness – in honour of Mike Scott' held at @livunienglish.bsky.social earlier this week

▶️ drive.google.com/file/d/1PivK...

Please enjoy & share! #CADS2026
June 25, 2026 at 6:08 PM
andreaswagnr.bsky.social
First stop: Liverpool for the 30 Years of Keyness event in honour of Mike Scott, who gave a brilliant talk on how Keyness in Corpus Linguistics came to be. A big thanks to @markmcglashan.com for organising it!@michamahlberg.bsky.social and I presented on water keywords using #Wordsmith & #FlexiConc.
June 26, 2026 at 11:33 AM
diemerstefan.bsky.social
Sampling the welcome breeze before the afternoon session @cl2025.co.uk Spoilt for choice with seven parallel talks - for me it’s the Methods panel, with talks on children’s storybooks, keyness, and corpus semiotics 📚🎓 #cl2025
June 30, 2025 at 2:11 PM
jcls-io.bsky.social
New article in #JCLS 4(1)! 🎉
Havrylash & @christofs.bsky.social introduce a method for evaluating measures of #distinctiveness ( #keyness ) using synthetically generated, fully controlled text data.
#CLS #TextAnalysis #Evaluation #NLP #NLG #LiteraryComputing #CCLS25
jcls.io/issue/118/in...
Journal of Computational Literary Studies | Issue: Issue: 1(4) (2025)
jcls.io
November 21, 2025 at 3:24 PM
tompynchon.bsky.social
rocket, zone, white, shit, light, sky, wind

doi.org/10.16995/orb...
A Phenomenology of the Present: Toward a Digital Understanding of <i>Gravity’s Rainbow</i>
This essay presents the results produced by the application of three corpus analysis tools to Thomas Pynchon’s Gravity’s Rainbow: word frequency/keyness analysis, social network analysis, and topic mo...
doi.org
November 5, 2025 at 8:29 PM
heyyylala.bsky.social
Oh good the soul crushing anxiety is back. Cool. That was a fun 2 hours of low keyness.
August 31, 2026 at 9:02 PM
jtauber.com
This is how I roll…
Both the UK and US editions of The Collected Poems of J.R.R. Tolkien with Stefan Gries’ new book Frequency, Dispersion, Association, and Keyness sandwiched in between.
September 20, 2024 at 2:47 AM
fortextlab.bsky.social
At #DH2026, we’ll discuss community engagement in digital publishing, why sustainability matters in web development, and present our study "Timing-Based Signals of Plot Keyness in Audiobooks", which explores narrative patterns through timing data. (2/3)
March 10, 2026 at 12:51 PM
andreaswagnr.bsky.social
Join us at the 30 Years of Keyness event in Liverpool! @michamahlberg.bsky.social and I will talk about „Water keywords and digital environmental humanities“ connecting #DigitalHumanities, #Environment and #CorpusLinguistics, one of the themes of Prof. Mahlberg‘s @textandlanguagelab.bsky.social
May 21, 2026 at 3:53 PM
fortextlab.bsky.social
And last but not least. Our third talk asks whether audiobook timing can signal narrative importance. The study links plot keyness to pauses and reading speed, finding that longer pauses show a weak but significant relation to key moments, while tempo is less reliable. (4/4)
July 24, 2026 at 8:19 AM
xmorpheus.bsky.social
Yes please everybody- if you sing loud enough, we might be able to stop wincing at the teeth grindingly off keyness of this performance #totp
May 30, 2025 at 6:32 PM
christof.fedihum.org.ap.brid.gy
Proud and excited to say that the @tcdh will be present at #dh2025 @dh2025 with no less than nine contributions!

Topics and issues include #collaboration, #wikidata, #fair, #multilingualism, #stylometry, #frenchnovel, #keyness, #time, #linkedopendata, #poetry […]

[Original post on fedihum.org]
Screenshot of the news page at the TCDH: "DH2025 in Lissabon: TCDH contributions at the DH2025", with the conference logo in dark blue and turqoise colors, and a short descriptive phrase.
May 16, 2025 at 8:23 AM
ijcl.bsky.social
And William Platt offers a critical summary of Gries (2024) ‘Frequency, dispersion, association, and keyness: Revising and tupleizing corpus-linguistic measures’ (John Benjamins) doi.org/10.1075/ijcl...
Review of Gries (2024): Frequency, Dispersion, Association, and Keyness: Revising and tupleizing corpus-linguistic measures | John Benjamins
Welcome to e-content platform of John Benjamins Publishing Company. Here you can find all of our electronic books and journals, for purchase and download or subscriber access.
doi.org
July 7, 2025 at 9:56 AM
bwodotbc.bsky.social
Ooh! Love the low keyness of this on a Monday morning! What a great pick.
February 3, 2025 at 7:20 AM
christof.fedihum.org.ap.brid.gy
🚀 Wie cool ist das denn, wir fahren nach Wien zur #dhd2026! @DHdKonferenz

Unser Vortrag "Keyness Measures und BERTopic kombiniert: Eine Distinktivitätsanalyse von Subgenres des französischen Romans" aus dem Beyond Words-Projekt am @tcdh wurde angenommen.

Meine Mitautori:innen @cnDuKeli und […]
Original post on fedihum.org
fedihum.org
November 13, 2025 at 8:06 AM
vaclavbrezina.bsky.social
Today at 12pm (UK time) we’re discussing Gries (2024), Frequency, Dispersion, Association, and Keyness, at the
@corpussocialsci.bsky.social Open Research Group 📚

Link: forms.office.com/e/YT5md2fjka

Join us and let us know what you think! 💬✨ #CorpusLinguistics
March 4, 2026 at 11:33 AM
mobrock.bsky.social
I know. The off-keyness was . . .
June 6, 2025 at 10:15 PM
stefanmueller.bsky.social
New preprint with the fantastic team at @snsf-ch.bsky.social and @ucddublin.bsky.social.

Important findings:
– Quality of training data more important than quantity
– Separate binary classifiers performed best
– Fine-tuned transformers outperformed few-shot LLMs

📄 arxiv.org/abs/2411.16662
1/3
Peer review in grant evaluation informs funding decisions, but the contents of peer review reports are rarely analyzed. In this work, we develop a thoroughly tested pipeline to analyze the texts of grant peer review reports using methods from applied Natural Language Processing (NLP) and machine learning. We start by developing twelve categories reflecting content of grant peer review reports that are of interest to research funders. This is followed by multiple human annotators’ iterative annotation of these categories in a novel text corpus of grant peer review reports submitted to the Swiss National Science Foundation. After validating the human annotation, we use the annotated texts to fine-tune pre-trained transformer models to classify these categories at scale, while conducting several robustness and validation checks. Our results show that many categories can be reliably identified by human annotators and machine learning approaches. However, the choice of text classification approach considerably influences the classification performance. We also find a high correspondence between out-of-sample classification performance and human annotators’ perceived difficulty in identifying categories. Our results and publicly available fine-tuned transformer models will allow researchers and research funders and anybody interested in peer review to examine and report on the contents of these reports in a structured manner. Ultimately, we hope our approach can contribute to ensuring the quality and trustworthiness of grant peer review. Results from keyness analysis Comparison of different classification approaches The value of additional training data
November 26, 2024 at 10:17 AM
christof.fedihum.org.ap.brid.gy
Macht es nicht wie ich, verpasst nicht unseren Vortrag zu BERTopics und Keyness!

Heute in der Session "Automatisierung und KI" ab 9:00 (aber unseren Vortrag erwischt ihr auch noch, wenn ihr um 10 Uhr kommt!) im Hörsaal 5.

@cnDuKeli und Julia Röttgermann […]

[Original post on fedihum.org]
Abstract: Der vorliegende Beitrag stellt einen hybriden Analyseansatz vor, der word-embedding-gestützte Topic-Modeling-Verfahren mit Distinktivitätsmaßen kombiniert, um Textgruppen zu vergleichen. Wir haben ein Topic-Modell für eine Sammlung von 600 französischen Romanen trainiert, distinktive Topics für jedes Subgenre ermittelt und diese Topics dann mit manuell erstellten textuellen Gattungsprofilen verglichen, um die Leistung verschiedener Distinktivitätsmaße bei der Identifizierung von distinktiven Topics zu evaluieren.
February 27, 2026 at 7:33 AM
steadytiger.bsky.social
I couldn't help comparing it unfavourably to Marathon Man, but as it went on I started to admire it's dogged low-keyness and refusal to please the crowd. And that ending is terrific. Ambigous, the story unfinished, but not at all a cop-out, just a real sense of being left out in the cold
December 7, 2025 at 6:53 AM
christof.fedihum.org.ap.brid.gy
Awesome! Our new paper in #dhq has just been published!

It discusses three measures of #keyness (or #distinctiveness) when applied to #subgenres of the #French #novel.

The twist is that we perform a #qualitative #evaluation of the measures by relating each list […]

[Original post on fedihum.org]
A 3-by-4 heatmap in tones of yellow, green and blue, showing matches for three measures (zeta, welch, LLR) and four subgenres (blanche, policier, scifi, sentimental). Best score in yellow is for zeta and sentimental (a perfect 50 out of 50), whereas the worst score is for LLR and policier (with just 21 matches).
November 4, 2025 at 7:02 AM
lsa2025uo.bsky.social
✨Course & Instructor Spotlight ✨
Today’s feature: Stefan Th. Gries (UC Santa Barbara & JLU Griessen)

📚 Leading "Foundations of Predictive Modeling with R" & "Statistical Measures in Corpus Linguistics: Frequency, Dispersion, Association, and Keyness"

📅 Registration: bit.ly/3CSbbHC
February 17, 2025 at 9:27 PM