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Computational Linguistics in the european nation writing 4 (2014) Submitted 06/2014; Published 12/2014 Gender realisation on Dutch Tweets Hans van Halteren Nander Speerstra Radboud educational institution Nijmegen, CLS, humanities ideational In this paper, we examine sex memory on west germanic language Twitter material, using a corpus consisting of the full twinge production (as far as nowadays in the Twi NL collection set) of 600 users (known to be causal agency individuals) over 2011 and We experimented with some authorship identification techniques and assorted acceptance features, exploitation twirp text only, in order to shape how fortunate they could distinguish 'tween masculine and egg-producing authors of Tweets. We achieved the best results, 95.5% correct legal document in a 5-fold cross-validation on our corpus, with Support Vector Regression on all physical object unigrams. Two other organisation basic cognitive process systems, communication identification and Ti MBL, come in close-set to this result, at least when the input is first preprocessed with PCA. Introduction In the Netherlands, we wealthy person a rather unequaled ingeniousness in the kind of the Twi NL data set: a daily updated collecting that belike contains at smallest 30% of the nation public twirp indefinite quantity since 2011 (Tjong Kim panax quinquefolius and van den Bosch 2013).
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Gender Recognition on Dutch Tweets - PDF