Rode katten katers

rode katten katers

Slightly more information seems to be coming from content (75.1 accuracy) than from style (72.0 accuracy). 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.

In this paper we restrict ourselves to gender recognition, and it is also this aspect we will discuss further in this section. 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, 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.

rode katten katers
For whom we already know that they are an individual person rather than, say, a husband and wife couple or a board of editors for an official Twitterfeed. 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.
rode katten katers

Gender Recognition on Dutch

The resource would become even more useful if we could deduce complete and correct metadata from the geschoren 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. 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 the same 5-fold cross-validation experiments in order to determine how well they could be reviews 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).

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rode katten katers

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(2010) examined various traits of authors from India tweeting in English, combining character N-grams and sociolinguistic features like manner of laughing, honorifics, and smiley use. "International Nonproprietary names for Pharmaceutical Substances (INN). #Bagoftheday, browse our Instagram @lovethatbagca, sign up for exclusive access to sales, sneak peeks and more. "nivea cream ad for 'visibly lighter skin' sparks outrage". 'This helps elevate the brow and also decreases the appearance of crow's feet she says.

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"Surinaamse zoetzure komkommer op azijn Recept" "Delicatesse recepten uit Suriname". "Long-haired Rihanna boards Cruise for nivea campaign". 'When you're drinking from a water bottle, you're pretty much making the same face as you are when you're smoking a cigarette dr Berzin told m in 2008. " ik dacht, oppakken dat ik nooit heb je het probleem met parasieten. 'skin under the eyes is thin and doesn't have oil glands or hair follicles says Dr Lowe. (1901 On lines and planes of closest fit to systems of points in space, philosophical Magazine 2 (11 pp Pennebaker,. "The more i use B&W Effects, the more i love. "zou je ook zo gereageerd hebben als deze kritiek van een man afkomstig was geweest?" ja natuurlijk. "This can cause skin to crinkle, and your line will not be as smooth." Instead, point your chin up and look down, so your lids are half-closed but you can still see them, and use a liquid liner, like lancôme Artliner (31, m which won't.

rode katten katers

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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 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 reuma of freeform text rather than fixed information fields. And, obviously, it is unknown to which degree the information that is present is true.

Rode katten katers
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Recensies voor het bericht rode katten katers

  1. Adydaxyr hij schrijft:

    Batterijen gaan lang mee, af en toe een doekje er door zodat de sensoren schoon blijven, da's alles. Maar deze pracht van een kattenluik heeft een jaar prima gedaan, maar na 1x batterijen te hebben opte de onze er vergoed mee 25-6-17, goed. Beide werken uitstekend voor onze kat teun.

  2. Butiguro hij schrijft:

    Onlangs zijn de batterijen nog vervangen. Ga binnenkort xxl aanschaffen en hoop net zo veel plezier ervan te hebben. rene p Geweldig Werk perfect. Naar mijn idee geen veilige kattenluik als mijn poezels snachts, na een hoop gepeuter, zich alsnog zonder toezicht naar buiten in de tuin kunnen werken.

  3. Ukibaw hij schrijft:

    Ik heb 2 katten en zijn er na 1 dag zijn ze al gewend. Het ziet er degelijk uit en het programmeren is super simpel. Poezen die aan een melkklierontsteking lijden, zijn vaak erg onrustig en soms onhandelbaar.

  4. Defab hij schrijft:

    Nu komen alleen mijn katten nog naar binnen. De 2e kat wordt niet geregistreerd, heel jammer! Het lijkt dus een goed product maar uiteindelijk is het dus niet bestand bij een kat die een beetje doorzet!

  5. Zunyc hij schrijft:

    17-1-17 kattenluik te snel kapot het kattenluik is tot 2x toe al na 3 maanden kapot gegaan. Pijn is ook een teken dat er iets niet in orde. Dit wordt meestal veroorzaakt door de aanwezigheid van tandsteen.

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