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Christof Schöch
@christof@fedihum.org  ·  activity timestamp 2 weeks ago

Awesome! Our new paper in #DHQ has 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 of keywords to a set of characteristics of each subgenre built from reading scholarly publications on the subgenres.

Bottom line: choosing a measure makes a huge difference!

Read the paper here: https://dhq.digitalhumanities.org/vol/19/3/000816/000816.html

@cnDuKeli

DHQ: Digital Humanities Quarterly: Expertise vs. statistics. A qualitative
evaluation of three keyness measures (logarithmic Zeta, Welch’s t-test, and
Log-likelihood ratio test) applied to subgenres of the French novel

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).
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).
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).
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