Two other machine learning systems, Linguistic Profiling and Ti MBL, come close to this result, at least when the input is first preprocessed with PCA. Introduction In the Netherlands, we have a rather unique resource in the form of the Twi NL data set: a daily updated collection that probably contains at least 30% of the Dutch public tweet production since 2011 (Tjong Kim Sang and van den Bosch 2013).However, as any collection that is harvested automatically, its usability is reduced by a lack of reliable metadata.Computational Linguistics in the Netherlands Journal 4 (2014) Submitted 06/2014; Published 12/2014 Gender Recognition on Dutch Tweets Hans van Halteren Nander Speerstra Radboud University Nijmegen, CLS, Linguistics Abstract In this paper, we investigate gender recognition on Dutch Twitter material, using a corpus consisting of the full Tweet production (as far as present in the Twi NL data set) of 600 users (known to be human individuals) over 2011 and We experimented with several authorship profiling techniques and various recognition features, using Tweet text only, in order to determine how well they could distinguish between male and female authors of Tweets.We achieved the best results, 95.5% correct assignment in a 5-fold cross-validation on our corpus, with Support Vector Regression on all token unigrams.Turns out that Cali doesnÃ¢Â€Â™t really want to study either.Today is your lucky day and its time for Cali to put you to the test. Virtual Reality Gaming is exciting but not nearly as much as your friend's slutty sister.
You know it will piss Mike off if you fuck his sister but she is simply relentless. It's not your fault if his sister fucks you, right? It's time to head over to your friend's costume party.In this case, the Twitter profiles of the authors are available, but these consist of freeform text rather than fixed information fields.And, obviously, it is unknown to which degree the information that is present is true.When you finally paint her face with cum, you're not sure if you feel better about putting in the best performance of your life, or the taste of sweet sweet vengeance. You're 18 now and technically you don't need a babysitter, but Natasha has been looking after you and your siblings for a couple of years now so your parents trust her more than you.You've always had a thing for her, as well as a sneaking suspicion that she feels the same.