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It can be observed from the results presented in Table 3 that, as opposed to the Twitter data, application of the normalisation function with the lexicon-based method caused decrease in the accuracy from 67.5 to 51.4%%.
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We explained step by step how the sentiment normalisation function had been developed.
The normalisation procedure was performed using R statistical software [ 81].
Through the application of a normalisation function the sentiment of a message is represented as a value from a range of −100 to 100.
end{aligned} In each case the functions and variables used satisfy the following requirements [26]: (a< t< b) in (mathbb{R}); (alphain 0,1)); (B alpha)) is a normalisation function satisfying (B>0) and (B 0)=B(1)=1); and (f:[a,b]rightarrowmathbb{R}) is an (L^{1}) function or, in the case of the ABC derivative, a differentiable function with (f'in L^{1}).
The lowess subarray normalization which uses a local weighted smoother to generate an intensity-dependent normalisation function was applied to each hybridization.
It can be noticed that the accuracy increased when the sentiment normalisation had been applied, indicating that the normalization function expresses more accurately the intensity of the sentiment of messages in comparison to the sum function.
Links between the normalisation of cortical organisation and pain reduction and/or improved physical function have been demonstrated in the treatment of other musculoskeletal conditions [ 39, 42, 43].
The normalisation of such attacks is intolerable".
Another will look at the normalisation of ties between North Korea and America.
In the normalisation process, two different linear normalisation and vector normalisation techniques are used.
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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