Kokos worm

kokos worm

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. (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.

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, manicure 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). However, even style appears to mirror content.

kokos worm
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.
kokos worm

Gender Recognition on Dutch Tweets - pdf


In this paper, we start modestly, by attempting to creme 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 mask 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 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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kokos worm

ukoliko imate bilo kakvih pitanja u vezi tv rasporeda, ispunite donji upitnik. Lchf: Low Carb High Fat di t f r ein gesundes Leben: Schnell abnehmen, gesund schlank werden und bleiben mit wenig Kohlenhydraten und viel gesundem Fett. "50 Cent seeks 75 Million over headphones fiasco". #nutribychloe #nutrition #nutritionfacts #healthy #diet #food #fitness #foodie #lifestyle #love #minimalist #minimal #blogger #whitefeed #fitness #vegan #plantbased #vegetarian #vitamins #nutrients #plants #eatplants #goji #gojiberries #veggies #tabouli #salad #fresh #healthyrecipes #summerrecipes #lunch Electrolito de goji - una taza de gojis a remojar en 2 lts. "50 Cent Aims to keep Effen Vodka deal Secret". 'mijn bestaan was haar eenvoudig ontschoten. "50 Cent drops two new videos: 'don't Worry 'bout It' and 'hold.

"50 droge Cent says ad threatens his life, files lawsuit". "50 Cent and Rick ross beef resurfacing". " Aloe ervaringen vera ". 'll find advice from celebrity stylists who have been solving fashion conundrums for years. "50 Cent And Shaniqua tompkins Continue their feud On Social Media". #4, jan van de velde, geplaatst. "50 Cent reveals Upcoming Album and Financial Details in questioning".

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In unserer zeit und in der Nachfolge von Lutz und Atkins propagierte der deutsche Ern hrungswissenschaftler nikolai. Worm eine di t, die steinzeitdi t, welche. UGro coco pure air 50 Liter. Pure air ist ein 50-Liter-beutel ( 5) aus. Kokos mit grober Struktur.

Animaties plaatjes gifplaatjes en leuke grappige bewegende animatie funplaatjes, neem gerust eens een kijkje, veel plezier. Recepten met voorafje: voorafje, voorafje, avocadobavarois en garnalentartaar als amuse of voorafje. Abaca, namn p en fiber, varav man g r manilat. Filippinska namnet p manilla, en t gvirkesfiber fr n Filippinerna. Vzpoura poč tače 2 - pod vejte se na kr tk př běh, kterak anim tor vytvořil poč tačov ho d mona. Disse morgenboller er lavet p 30 minutter og derfor perfekte p morgenbordet. De indeholder mandelmel i stedet for mel og er derfor glutenfrie. Sve epizode i sezone serije bit ćeš moja. Sve epizode i sezone serije Anđeli.

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Allteftersom trossen slås färdig, rullar maskinen upp den i rullar. Tågvirke benämnes dels efter materialet, hampa, bommul, nylon osv., dels efter slagningen, 3- eller 4-slaget, tross- eller kabel-slaget, vänster- eller högerslaget, dels också efter dimensionen, 2-tum, 3-tum osv. Dimensionen räknas night på vanligt tågvirke efter omkretsen, så att en tretums tross har en diameter av ca. Inom flottan räknas omkretsen. På mycket klena linor mätes diametern. Tågvirkets styrka är främst beroende på materialet, men även på tillverkningsmetoden. Löst slaget tågvirke är starkare än hårt slaget, vilket senare dock tål slitning bättre, trosslaget är starkare än kabelslaget och klenare är relativt starkare än grövre emedan det är lättare att få lika belastning på fibrena i den förra.

kokos worm

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Manilla är starkare men dyrare än andra hårdfiber. Flera olika kvalitéer finns, och vid tillverkning blandas ofta olika fibrer med varandra så att vanligt tågvirke innehåller både manilla och sisal av olika kvalité. Hampans fibrer tar lätt röta och därför tjäras alltid allt tågvirke till sjöss. Tjärningen minskar styrkan genom att tjäran bränner, men den ökar hållfastheten genom att förhindra röta. Repslageri är ett mycket gammalt hantverk och tågvirke tillverkades förr i en lång repslagarbana, där repslagaren under gång baklänges spann fibrerna till garn, kabelgarn. Dessa hernia snoddes därpå samman till dukter, vilka sedan 3 och 3 eller 4 och 4 slogs samman till trossar. Undantagsvis fortsatte tvinningen en gång till, så att 3 eller 4 trossar, nu kallade kardeler, slogs samman till en kabel. Numera är repslageriet i hög grad industrialiserat och tillverkningen sker stegvis i automatiska maskiner från fibrer till kabelgarn, därefter till dukter vilka sedan slås samman till trossar.

Tågvirke (cordage gemensam benämning på spunna linor och trossar, tåg och rep av olika slag. Tågvirke tillverkas av många olika fiberämnen, vanligast från växtriket men även från djurriket, såsom silke och ull, samt av oorganiska ämnen såsom metalltrådar och nylon. Bland det viktigaste växtfibrerna skiljer man på mjukfibrer och hårdfibrer. De förra äro bastfiber, såsom hampa, lin, sunnhampa, jute och kinagräs (ramie). Till det senare, som äro stödjande fibrer i bladskaften, kärlfibrer, räknas främst manilla och sisal, av vilka det finns många olika arter, samt kokus och bomull. Dessutom används papper främst till bindgarn och skördegarn. Till vanligt tågvirke används mest hampa, manilla och sisal. Tågvirke av hårdfiber är tåligt mot vatten och utgör numera det mest använda america till sjöss.

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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 kosten 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.

Kokos worm
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