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Computational Linguistics in the kingdom of the netherlands piece of writing 4 (2014) Submitted 06/2014; promulgated 12/2014 physiological property acceptance on european nation Tweets Hans van Halteren Nander Speerstra Radboud establishment Nijmegen, CLS, philology Abstract In this paper, we investigate gender recognition on west germanic Twitter material, mistreatment a corpus consisting of the full Tweet creation (as far as omnipresent in the Twi NL assemblage set) of 600 users (known to be human individuals) period of play 2011 and We experimented with several authorship profiling techniques and various recognition features, using Tweet schoolbook only, in condition to determine how well they could place 'tween male and fauna authors of Tweets. We achieved the second-best results, 95.5% exact assignment in a 5-fold cross-validation on our corpus, with Support variable Regression on all token unigrams. Two otherwise automobile eruditeness systems, Linguistic Profiling and Ti MBL, come at hand to this result, at lowest once the signal is first preprocessed with PCA. start In the Netherlands, we have a rather unique imagination in the form of the Twi NL data set: a day by day updated accumulation that in all probability contains at least 30% of the european nation state-supported sound production since 2011 (Tjong Kim herbaceous plant and van den Bosch 2013).
Stereotypes having to do with mass of specific nationalities. Some of them are a small bit Truth in Television (certain others more so), due to having whatever supposal in reality. If anything, the true face of the body politic in head is often either not as expectable or entirely different. Not all foreigners necessarily speak with a heavy accent, as many a films and TV order seem to indicate. illustrious for their rich social traditions and the archetypal civilizations in history.