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Then follow the results (Section 5 and Section 6 concludes the paper. 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 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).
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 omega 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 kerastase 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. 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.
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Pagina 1 van fitting 2, prijsvechter, anti niet goed geld terug, gratis retour. Veilig betalen, donateur van kika.6/10 - 661 beoordelingen, copyright 2018 voordelige. Alle bedrijven, bedrijven met de meeste klachten, alle bedrijven. Wij, en derden, plaatsen cookies om onze website te analyseren en optimaliseren, gepersonaliseerde content en advertenties te tonen. Wanneer je gebruik blijft maken van onze website, geef je toestemming voor het gebruik van deze cookies. Home hair weaves, pagina 1 van 2, prijsvechter. Niet goed geld terug, gratis retour, veilig betalen. 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.
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10 6, rinse the conditioner out. Remove the weave from the basin and hold it under running water for a couple of minutes. Rinse the weave completely out so that no conditioner remains. 11 7 Pat the weave with a towel and lay it out to dry. Turn the water off and lay a towel out on a flat surface. Lay the weave out on part of the towel and pat it dry with the part it isnt laying. Then, leave the weave on the towel until its completely dry to the touch. 12 Method 3 taking Care of your weave 1 Wash your weave at least once every 10 days.
Squirt a small amount of a mild, sulfate-free shampoo made for human hair into a basin and fill it up with warm water. Swish the shampoo around in the water. Then, submerge your weave in the basin and let it soak for 5-10 minutes. 8 4, rinse the shampoo out. Take your weave out of the basin and hold it underneath a sink faucet.
Run some warm water and rinse out all of the shampoo in the weave. Keep it under the running water until you cheap no longer see suds. 9 5, soak the weave in diluted conditioner for 30-60 minutes. Squirt some conditioner for human hair into a basin and fill it the rest of the way with warm water. Swish the conditioner around in the water and place your weave in the water. Let it soak for 30-60 minutes so that the hair gets soft and smooth.
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These microbes can also cause scalp problems and damage your hair. Method 2, washing a leave-out weave 1, brush shampoo the weave from tips to roots to detangle. Hold your leave-out weave by the track and use a soft paddle brush to gently brush any tangles out. To avoid ripping the hair out, make sure to start at the ends of the hair and work your way up towards the track. Drench the weave in warm water. Run some warm water from a sink faucet and hold your weave underneath the water. Saturate the weave entirely if its a sew-in weave, but avoid saturating the track if your weave is glue-in. 7 3, soak the weave in diluted shampoo for 5-10 minutes.
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5, sit under a hair dryer for 45 minutes. When you wash a leave-in weave, its very important to dry it completely before you leave your harry home or go to bed. Turn off the water, brush any remaining tangles out of your weave, and sit underneath a hair dryer. Set a timer for 45 minutes and let your weave dry before you move onto doing anything else. 5, if you dont have access to a hair dryer, use a blow dryer or air dry your weave. Its extremely important that your weave and your natural hair underneath dry completely. Otherwise, mold and mildew may start to develop, which will create a bad smell.
Squirt a small amount of conditioner made for human hair into your hand and apply it in a downward motion from the tracks to the tips of the hair. Let the conditioner sit on your weave for 15 minutes, and then turn the water back on and rinse it out thoroughly to avoid versandapotheke product buildup. Detangle your weave with a wide-tooth comb. Separate your weave into 2 equal-sized sections and bring one over your right shoulder and the other over your left shoulder. Turn the water back on and use a paddle brush to gently brush out any tangles in the weave. 4, avoid using a paddle brush under running water on your weave. Paddle brushes can collect water, which makes them more prone to mold and mildew.
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Method 1, washing a leave-in weave 1, saturate your weave with warm water. Run warm water over kamille your entire weave in a downward motion near where your tracks are until the weave is completely wet. You can do this by holding your head underneath the sink faucet but its probably easier just to get in the shower. 1 2, apply shampoo and rinse it out. Squirt a small amount of a hydrating, clarifying, sulfate-free shampoo into your hand and massage it gently into the length of the weave. Then, thoroughly rinse all of the shampoo out. 2, rub hair gently between your palm for stubborn dirt, if needed, but be careful not to scrub or bunch up the hair. 3, apply conditioner and let it sit for 15 minutes before rinsing. Turn off the water.