Gender Recognition on Dutch Tweets - PDF - docplayer.nl

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Gender Recognition on Dutch Tweets - PDF - docplayer.nl
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,

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And actually checking the existence of a proposed url was computationally infeasible for the amount of text we intended to process. Attribution accuracy svm lp timbl log2(number of principal components) figure 1 recognition accuracy as a function of the number of principal components provided to the systems, using token unigrams. This is in accordance with the hypothesis just suggested for the token n-grams, as normalization too brings the character n-grams closer to token unigrams.

Het effect van de kanker nazorg wijzer op werkgerelateerde problematiek en kwaliteit. From this point on in the discussion, we will present female confidence as positive numbers and male as negative. Susan comics file 4 comics bk 2 the funny characters in comic books or animation films can put smiles on people s faces all over the world.

Addison woods, and ophir frieder (1994), discrimination of authorship using visualization, inf. Leg de stukken omgekeerd en door elkaar heen op tafel. Figure 5 percentages of use of tokens by female and male authors.

Ben je voor mij op de vlucht?, vraagt hij. Write a program that can determine some of dutch the language survival guide 4 0 0 w o r d s t o g e t s t a r t e d i n a n y l a n g u a g e by the foreign language collective verbs werkwoorden to be zijn i ik ben you jij bent hesheit hijzijhet dutch survival kit. We bespreken een aantal belangrijke take a look at my life week 5&6 maandag zou vandaag gaan werken, maar heb op het laatste moment afgezegd omdat het nogal glad was op de weg.

This text consists of document properties most word processors show some properties of the text in a document, such as the number of words or the number of letters in that document. Its accuracy degrades when using pca, although often not significantly. During our investigation into gender recognition, we have also experimented with the use of principal component analysis as a preprocessing step to classification.

Finally, mentioning other users is apparently more often done by men. For the normalized character 5-grams, svr is clearly better than timbl, with peaks (94. Strip knip de strip los langs de stippellijntjes. We checked gender manually for all selected users, mostly on the basis 3. We do also see more expressions of self, with ik ( i ) and first person verbs such as wil ( want ) and heb ( have ), but these are much less distinguishing.


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Terugkijken Viagra Buy Now Although the use of all unigrams for classification yields far better results than the use of the 100 most frequent function words, the latter are certainly not doing badly, For each feature type. Furthermore, the top 100 function words are doing quite well, with 84, There is much more variation in the topics, but most of it is clearly girl talk (of the type described in section 5. The exception also leads to more varied classification by the different systems, yielding a wide range of scores, From each user s tweets. Percentage of males using token figure 6 percentages of use of the 100 most frequent function words and punctuation by female and male authors. Table 5 most strongly misclassified females in svr on token unigrams, with scores for svr with various feature types. Females show more personal pronouns, such as the already mentioned ik ( i ), but also me ( me ) and jou ( you ), as well as the reduced possessive pronoun mn (mijn my ). These statistics are derived from the users profile information by way of some heuristics. We used the 100 most frequent, as measured on our tweet collection, of which the example tweet contains the words ik, dat, heeft, op, een, voor, and het. We represent this quality by the class separation value that we described in section 4.
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    Females show more personal pronouns, such as the already mentioned ik ( i ), but also me ( me ) and jou ( you ), as well as the reduced possessive pronoun mn (mijn my ). Apart from bier ( beer ), we see an enormous number of soccer-related words, with fifa at the most extreme, and then club names, scores, competitions, playing, winning, losing, etc. 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. It may also be useful to distinguish between different uses of twitter, such as professional communication and social chitchat, and build separate metadata estimators for these different uses. Onderwerpen scherpstelling - focusering sluitersnelheid en framerate sluitersnelheid en belichting driedimensionale arthrokinematische mobilisatie cursus klinische videofoto-analyse avond 3 scherpte classification of triangles a triangle is a geometrical shape that is formed when 3 non-collinear points are joined.

    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. Daelemans, walter, jakub zavrel, ko van der sloot, and antal van den bosch (2004), timbl tilburg memory-based learner, technical report ilk-0209, tilburg university. Ik zie het, een kopie van je paspoort, een kopie van je diploma voortgezet onderwijs (hoogst genoten opleiding), twee pasfoto s, naam op de achterkant vragenlijst in te vullen en op te sturen voor de meeloopochtend, kabk afdeling fotografie questionnaire to be filled in and send in before the introduction morning, kabk department of photography stuur karen j. In order to improve the robustness of the hyperparameter selection, the best three settings were chosen and used for classifying the current author in question. The most obvious male is author 430, with a resounding looking at his texts, we indeed see a prototypical (young) male twitter user the addressed topics mainly consist of soccer, gaming, school, and music (all of which we will see again below, when examining the most gender 11.

    Use firmware version a2 workshops woordkennis 1 a2 workshops woordkennis 1 a2 woordkennis 1 bestuderen hoe leer je 2000 woorden? Als je een nieuwe taal wilt spreken en schrijven, heb je vooral veel nieuwe woorden nodig. Give inside information about our commercial comparison website and our role in the dutch and spanish energy market aim of this presentation give inside information about our commercial comparison website and our role in the dutch and spanish energy market energieleveranciers. Lp and timbl are closely matched, although lp appears to be slightly better when combined with pca, but the next section will shed new light on this comparison. The second set of character n-grams is derived from the original tweets. Voorwoord susan schrijft elke dag in haar dagboek. Even the character 5-grams have ranks up to 40 for this top-5. The font size of the words indicates to which degree they differentiate between the gender when also taking into account the relative frequencies of occurrence. Again, we take the token unigrams as a starting point. Buiten begon de zon te schijnen, waardoor er schaduwen op de lichtblauwe muur ontstonden. However, as any collection that is harvested automatically, its usability is reduced by a lack of reliable metadata.

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