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However, even style appears to mirror content. We see the women focusing on personal matters, leading to important content words like love and boyfriend, and important style words like i and other personal pronouns. The men, on the other hand, seem to be more interested in computers, leading to important content words like software and game, and correspondingly more determiners and prepositions. One gets the impression that gender recognition is more sociological than linguistic, showing what women and men were blogging about back in A later study (Goswami. 2009) managed to increase the gender recognition quality.2, using sentence length, 35 non-dictionary words, and 52 slang words. The authors do not report the set of slang words, but the non-dictionary words appear to be more related to style than to content, showing that purely linguistic behaviour can contribute information for gender recognition as well. Gender recognition has also already been applied to Tweets.

A group which is very active in studying gender recognition (among other traits) on the basis of text is that around Moshe koppel. In (Koppel. 2002) they report gender recognition on formal written texts taken from the British National Corpus (and also give a good overview of previous work reaching about 80 correct attributions using function words and parts of speech. Later, in 2004, the group collected a blog Authorship Corpus (BAC; (Schler. 2006 containing about 700,000 posts to m (in total about 140 million words) by almost 20,000 bloggers. For each blogger, metadata is present, including the blogger s self-provided gender, hamilelikte age, industry and astrological sign. This corpus has been used extensively since. The creators themselves used it for various classification tasks, including gender recognition (Koppel. They report an overall accuracy.1. Slightly more information seems to be coming from content (75.1 accuracy) than from style (72.0 accuracy).

C 2014 van Halteren and Speerstra. Gender Recognition Gender recognition is a subtask in the general field of authorship recognition and profiling, which has reached maturity in the last decades(for an overview, see. (Juola 2008) and (Koppel. Currently the field is getting an impulse for further development now that vast data sets of user generated data is becoming available. (2012) show that authorship recognition is also possible (to some degree) if the number of candidate authors is as high as 100,000 (as compared to the usually less than ten in traditional studies). Even so, there are circumstances where outright recognition is not an option, but where one must be content with profiling,. The identification of author traits like gender, age and geographical background. In this paper we restrict ourselves to gender recognition, and it is also this aspect we will discuss further in this section.

Gender Recognition on Dutch


For our experiment, we selected 600 authors for whom we were able to determine with a high degree of certainty a) that they were human individuals and b) what gender they were. We then experimented with several author profiling techniques, namely support Vector Regression (as provided by libsvm; (Chang and Lin 2011 linguistic Profiling (LP; (van Halteren 2004 and timbl (Daelemans. 2004 with and without preprocessing the input vectors with Principal Component Analysis (PCA; (Pearson 1901 (Hotelling 1933). We also varied the recognition features provided to the techniques, using both character and token n-grams. For all techniques and features, we ran vitamine the same 5-fold cross-validation experiments in order to determine how well they could be used to distinguish between male and female authors of tweets. In the following sections, we first present some previous work on gender recognition (Section 2). Then we describe our experimental data and the evaluation method (Section 3 after which we proceed to describe the various author profiling strategies that we investigated (Section 4).

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"Harvest and trade for Chinese wolfberry in Ningxia". "Dus ik woon samen met drie bewonderaars hier in huis." Verbaasd keek ik op, want ik meende tante zachtjes te horen grinniken. "En die fantastische vrouwelijke dijen, die zo lekker zacht aanvoelen aan de binnenkant." Mijn vingertoppen onder tante's jurk schoven al hoger en hoger. "From Perret to kampfe: Origins of the safety razor". 'zur Hochbauprojektion, bitte.' Er starrte sie im Rückspiegel. "Geeft niets hoor Johan, die gaat gewoon de was." zei tante. "En dan die lieve zachte krulhaartjes." nu kroelde ik door de haartjes die onder haar onderbroek vandaan kwamen en ik zag tante's buik sneller op en neer gaan. "Jongens, nog een rondje om de geesten te scherpen." heropende Fred het beraad na een minuut stilte. "Ik wil het ook zien Johan" en terwijl tante zich oprichtte pakte ze mijn schokkende en spuitende pik stevig vast.

"Dit kan ik uren zo vol houden Johan, lekker vrijen, even pauze om af te koelen, en dan weer verder." bekende. "Als ik jou zo hoor, ben je aardig onder de indruk gekomen van tante. "Johan, ik vond het ook heel fijn vannacht, en ik heb er dan ook absoluut geen spijt van. "Ancestry and Pathology in King Tutankhamun's Family" The journal vitale of the American Medical Association.640-641 "Archaeologist believes hidden passageway in tomb of Tutankhamun leads to resting place of Nefertiti" Archived at the wayback machine. "Ik heb jou eerder zo dom zien glimlachen" zei hij. "Johan, oohhh Johan, je hebt het weer gedaan.

"Goji (Lycium barbarum filler and. "Het is alleen de vraag wat Fred van dit plan vindt." vervolgde ik echter bedachtzaam. 'Klik' voorzichtig legde ik ook de hoorn neer. "Johan, doe mijn broekje eens uit." zuchtte tante. " Lycium barbarum ". "Fairground family first to gamble on gojis".

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"Birgit, hou onmiddellijk op!" Tante was het duidelijk niet eens met deze kijk op de zaak, maar zelf moest ik birgit diep in mijn hart eigenlijk wel gelijk geven. "Ik ben blij dat je het zo opneemt Johan, en als het goed blijft gaan hoeft het misschien met dit weekend niet afgelopen te zijn." antwoordde ze na onze zoen. "Echte dikke tieten dus, he? 'mon petit prince zo noem ik hem soms.*In '97 verergerde de pijn zodanig dat ik onder de scanner moest. "Draai je eens om alsjeblieft." Zonder dat mijn mond haar heerlijke ziltige vlees verliet, draaide ik me snel om zodat mijn stijve lul nu boven tante's gezicht hing. 'overview of Amenhotep iii and His reign and raymond Johnson, 'monuments and Monumental Art under Amenhotep iii' in 'Amenhotep iii: Perspectives on his reign' 1998, ed: david o'connor eric Cline, university of Michigan Press Rosalie david, handbook to life in Ancient Egypt, facts on File.

"Ik sluit me helemaal aan bij de vorige sprekers, en zou graag de knapste hospita van Nederland ten dans vragen." antwoordde. "But in the court of public opinion, any sort of social driven campaign that challenges consumer perception of safety is a risk." Analysts expect that Ulta will likely enact more strict vendor requirements for packaging and take other measures to address the issue. "Dus je vindt mijn buik niet te dik?" "nee hoor, lekker rond en zacht, daar houd ik juist van." antwoordde. "Ik denk dat we naar een oplossing moeten zoeken tante" zei. "E" Yamana (Tierra del fuego léxuwakipa, the rusty brown spectacled ibis, felt offended by the people, so she let it snow so much that ice came to cover the entire earth. "En dat moet jij nodig zeggen. "Ik snap trouwens niet dat jij nog niet zo'n ding in huis hebt, ik kan het je van harte aanraden. "Johan, ik ben helemaal niet eerlijk geweest." Tante deed een stap naar voren en ik kon zien dat ze gehuild had: haar gezicht was opgezet en haar ogen waren rood. "Ancestry and Pathology in King Tutankhamun's Family" The journal of the American Medical Association.644 Allen (2006.5 Erik hornung, rolf Krauss and david Warburton (editors handbook of Ancient Egyptian Chronology (Handbook of Oriental Studies Brill: 2006,.207 493 "A Frail King Tut died From.

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"Ankhesenamun - queen of Tutankhamun and daughter of Akhenaten". "If I'm right, this is simply part of the entrance to the tomb of Nefertiti. "Ik dacht dan aan uw lieve gezichtje, hoe ik u zou kussen." zei ik, en voegde daad bij woord. "Ik beval je echt he, johan?" vroeg ze met een lief glimlachje, over haar kopje kijkend. "Drie jonge stiertjes die stiekem smachten naar een oude koe zoals ik,." ze lachte nu voluit. "It could be nefertiti, it could be kia (Tutankhamun's alleged mother it could be other members of the family of Tutankhamun. "Dank je johan, waarom nemen we er geen likeurtje bij?" Terwijl ik de likeur uit de kast pakte, ging tante voor seizoen de open haard op het kleed zitten. "Cardiff's Cocorico patisserie have narrowly lost out in the final of bake off: dior Creme de la Creme". "Akhenaten and Rib Hadda from Byblos".

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"After all, akhenaten did call himself the son of the sole god: 'Thine only son that came forth from thy body'." 76 James Henry Breasted likened him to jesus, 77 Arthur weigall saw him as a failed precursor of Christ and Thomas Mann saw him. "Familial epilepsy in the pharaohs of ancient Egypt's 18th Dynasty". "En aan dat lieve bolle buikje van u, hoe ik daar lekker zacht tegenaan zou liggen." ging ik verder. "Comparison of Alexandrite laser and Electrolysis for hair Removal". "Best hair salon in Bucharest, well trained hairstylists, great products and amazing spot.". 'Schwer, hm?' 'leichenteile sagte Franziska. "Ga maar iets naar beneden en laat je maar weer zakken" vervolgde. #4 and more fun.

"Birgit, het zijn lieve jongens en ik wil niet dat je zo over ze praat. "Johan, rustig maar, ontspan." even later hadden we ons geile spel weer hervat, maar iedere keer als ik mijn lul nu in de verste stand tussen tante's borsten zat, voelde ik haar tong plagerig over mijn poepgaatje gaan. "Classification for Kingdom Plantae down to genus Lycium L". "Ja premier ja, hoor wie het zegt" zei fred, terwijl hij weer ging zitten. "En weet je wat ze voor mijn verjaardag gekocht hebben? "Goji taunts North American farmers". "Johan, ik wil je ook proeven" kreunde tante. #5 get brač pass.

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1 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 hyaluronzuur corpus consisting. We achieved the best results,.5 correct 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 timbl, 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 Twinl 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. 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. The resource would become even more useful if we could deduce complete and correct metadata from the various available information sources, such as the provided metadata, user relations, profile photos, and the text of the tweets. In this paper, we start modestly, by attempting to derive just the gender of the authors 1 automatically, purely on the basis of the content of their tweets, using author profiling techniques.

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