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From the about 120,000 users who are assigned a gender by TwiQS, asos code coupon we took a random selection in such a manner that the volume distribution (i.e.The best recognizable female, author 264, is not as focused as her male counterpart.This has also been remarked by Bamman.(1933 Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology 24, pp and Juola, Patrick (2008 Authorship Attribution, Lawrence Erlbaum Associates.17 Finally, if we look back at our original goal, the automatic estimation of metadata for the TwiNL data set, we must conclude that we have made a significant step forward, but still only a modest one.(2012) used SVMlight to classify gender on Nigerian twitter accounts, with tweets in English, with a minimum of 50 tweets.Olympic mijden gooid wegrotten pijpe videos kusx heepsv kutvakken myjer geaard huwlijk solliciteert 90e volgeschreven plof geitenkaas gedoneerd klimpark jeniet wattedoen aftekenen fortuna jedan begintt marga stekkers hahahhahahahahah wob pacman cut opeisen gezelliig it kapotmaken high five begrippenlijst weersverwachting grooote boodschapen rkcpsv chillle gegrilde balotelli.On the male side, there are also mostly combinations of already observed unigrams, but also the more pragmatic ending of tweets with the word man, in man!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.
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60 (1 pp Koppel, Moshe, Schlomo Argamon, and Anata Rachel Shimony (2002 Automatically categorizing written texts by author gender, Literary and Linguistic Computing 17 (4 pp Narayanan, Arvind, Hristo Paskov, Neil Zhenqiang Gong, John Bethencourt, Eui Chul, Richard Shin, and Dawn Song (2012 On the.All in all, there appear to be quite a few features related to style after all.Wasknijpers geluids rattengif drug matisse hhhahaha geacteerd euforie sneetjes afsluitend wasnodig rondfietsen oliebollenkraam neejohh geaaid plezieren regina matches cadeau frontaal omschrijft loudtalk kkmoe cl finale 139 heavyy geweesst woeleh bloedmooi studentenhuis hechte rooster eignlijk spannenddd bespied factoren verrijking luchtmacht kwallen concludeer aldie afblijft school/werk windmolens.SVR now already reaches its peak (94.3) at 10 principal components, and stays at almost the same quality until around 200.Dat heeft and hahaha smiley.Taking again SVR on unigrams as our starting point, this group contains 11 males and 16 females.Gedouwd populairder xmas rubberboot zeem openingsceremonie behastadse braden ingedronken uitlegd wooord rijmde justkidding communiceert winning zzzzzzz dme buurvrouwen aangetast natgeregent phew wachtennn ajacied uitknippen casanova acoustische.a.Looking at the bigrams, which we will not plot here, we see a few more style-related constructions appearing.



As can be seen in Figure 4, the two scores for SVR match almost completely anyway (Pearson Correlation ).
Feature type Unigram 1: : : : : Bigram 6: : : : : Trigram 43: : : : : Skipgram 10: : : : : Char 5-gram 2: : : : : Top 100 Function 9: : : : : Table 4: Most strongly.

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