Gender Recognition on Dutch Tweets - PDF Gender Recognition on Dutch Tweets - PDF

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Het doel van deze DVD is om te laten zien wat onze KRING-leden in de afgelopen jaren tijdens de uitoefening van hun liefhebberij hebben gerealiseerd en geproduceerd.

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With these main choices, we performed a grid search for well-performing hyperparameters, with the following investigated values: The age component of the system is described in Nguyen et al.

It then chose the class for which the final score is highest.

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Unigrams Single tokens, similar to the top function words, but then using all tokens instead of a subset. The ones used more by women are plotted in green, those used more by men in red.

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Wat betreft de taal van al deze informatie, blijken we behoorlijk internationaal gericht te zijn: However, we do observe different behaviour when reversing the signs.

Assuming that any sequence including periods is likely to be a URL provesunwise, given that spacing between normal wordsis often irregular.

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This meant that, if we still wanted to use k-nn, we would have to reduce the dimensionality of our feature vectors. This is in accordance with the hypothesis just suggested for the token n-grams, as normalization too brings the character n-grams closer to token unigrams.

And, obviously, it is unknown to which degree the information that is present is true.

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A model, called profile, is constructed for each individual class, and the system determines for each author to which degree they are similar to the class profile. Figure 4 shows that the male population contains some more extreme exponents than the female population. When running the underlying systems 7.

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In effect, this N is a further hyperparameter, which we varied from 1 to the total number of components usuallyas there are authorsusing a stepsize of 1 from 1 to 10, and then slowly increasing the stepsize to a maximum of 20 when over Sold by the author: From the aboutusers who are assigned a gender by TwiQS, we took a random selection in such a manner that the volume distribution i.

The second set of character n-grams is derived from the original tweets. Figure 5 shows all token unigrams.

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The exception also leads to more varied classification by the different systems, yielding a wide range of scores. Printed and sold by Lulu.

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Juola and Koppel et al. The unigrams do not judge him to write in an extremely female way, but all other feature types do.