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A naive application of our stance model predicts the outcome of the referendum as Remain.
Next, we compare the age-weighted poll results to our Twitter stance model results and compute the ratio (row 3).
Nevertheless, the stance model reflects well the mood of the UK-based Twitter users before the Brexit referendum.
By controlling the annotation and the classification processes, we are able to assess how difficult the task of annotation is, and what is the quality of the stance model.
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This difference may be related to dissimilarities in design between the two studies: ours using a fracture-gap single-stance model; theirs using anatomic reduction in a bilateral-stance model.
Open image in new window Fig. 4 Pelvis loaded into the MTS machine using the single-limb-stance model.
In addition, to maximize vertical shear and minimize compression across the posterior pelvic arch, a single-limb-stance model was used [32].
His erect stance, a model of efficiency and balance, was as much a trademark as his emotionless race-face, which won him his nickname.
First, we construct a stance classification model by machine learning methods, and are then able to predict the stance of about one million UK-based Twitter users.
We developed a specialized stance classification model that can classify any Brexit-related tweet as pro-Brexit (Leave), contra-Brexit (Remain), or Neutral.
They consented to the usage of their annotations for the construction of the stance classification models, and estimation of the self- and inter-annotator agreements.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com