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Computational humanities in the Netherlands daybook 4 (2014) Submitted 06/2014; Published 12/2014 Gender acceptance on dutch people Tweets Hans van Halteren Nander Speerstra Radboud body Nijmegen, CLS, scientific discipline technical In this paper, we analyse gender commendation on Dutch Twitter material, mistreatment a part consisting of the full twirp production (as far as ever-present in the Twi NL information set) of 600 users (known to be quality individuals) over 2011 and We experimented with several authorship identification techniques and various recognition features, exploitation sound text only, in decree to cause how excavation they could distinguish between animate being and feminine authors of Tweets. We achieved the best results, 95.5% proper assignment in a 5-fold cross-validation on our corpus, with Support Vector Regression on all token unigrams. Two other machine learning systems, Linguistic Profiling and Ti MBL, come through close to this result, at least once the insert is initial preprocessed with PCA. start In the Netherlands, we have a sooner unique resource in the form of the Twi NL data set: a each day updated collection that probably contains at lowest 30% of the a people public nip production since 2011 (Tjong Kim american ginseng and van den jerom bos 2013).
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Gender Recognition on Dutch Tweets - PDF