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2-million feature vectors (1 million with positive labels and 1 million with negative labels) are generated from 2-million machine-labeled sentences, known as the complete set.
Yes, diagnoses can be inappropriate and negative labels.
Mr. Powers, 57, wrote to the committee that boys arrive at Bonnie Brae "with a long laundry list of negative labels," but that they "leave with pride and hope for the future".
Instead, she wrote: "The results point to the need to reconsider the negative labels that have often been associated with female communication styles, and to investigate [their use] as they relate to email and other forms of computer-mediated communication".
Alarmist reports, overlaid with vituperative headlines – "Kick out this scum" (Star), "Shut out this scum" (News of the World), "Britain tops asylum leagues" (Mail), accompanied by negative labels, such as "parasites", "cheats" and "scroungers" – dramatically changed public attitudes.
The amount of vectors with positive labels equals the amount of vectors with negative labels for every subset.
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Transgender felt like a negative label.
Being transgender felt like a negative label, accurate yet awkward.
"No product would be barred from the market; no product would be subject to negative labeling.
However, for someone who has a learning disability, it can feel like a negative label.
Such a "negative labelling" system could, in fact, be extended to everything we buy.
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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