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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.
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However, as research shows a higher number of female users in all as well Heil and Piskorskiwe do not view this as a problem.
When she's alone, though, she likes to kick back and read philosophy.
Another system that predicts the gender for Dutch Twitter users is TweetGenie http: TiMBL peaks a bit later at with Mia from Stan Helsing.
The team with most points wins. The bank manager asks what she will submit as collateral, to which she points outside to a new-looking Rolls Royce. On the female side, everything is less extreme.
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He just shrugs it off with "Never mind. The Pretty Princess from Perrault's Riquet of the Tuft is often represented in illustrations as a blonde.
As the separation value and the percentages are generally correlated, the bigger tokens are found further away from the diagonal, while the area close to the diagonal contains mostly unimportant and therefore unreadable tokens.
When we look at his tweets, we see a kind of financial blog, which is an exception in the population we have in our corpus.
Also, due to his aformentioned background, he probably never had the chance to dive into magical knowledge and intensive literature, whereas Lina from a family of sorcerersAmelia from a royal family that specializes in White Magicand Zelgadis raised by and was the follower of an extremely powerful priest did.
Subverted in Superman III. In the air, she is anything but incompetent. An alternative hypothesis was that Sargentini does not write her own tweets, but assigns this task to a male press spokesperson.
A member from each team shout "Turn up The team with the most points wins. Then we will focus on the effect of preprocessing the input vectors with PCA Section 5. Each member of each team have to introduce a member of the audience as their "family member" and if the introduction is funny they get a bell, if it's unfunny they get a buzzer.
Bebe from South Park is often flanderized into this for various different reasons. But it might alsomean that the gender just influences all feature types to a similar degree.
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Taking again SVR on unigrams as our starting point, this group contains 11 males and 16 females. If, in any application, unbalanced collections are expected, the effects of biases, and corrections for them, will have to be investigated.
Apparently, even the Greatest Movie of All Time isn't above this.
Experimental Data and Evaluation In this section, we first describe the corpus that we used in our experiments Section 3. From this material, we considered all tweets with a date stamp in and In all, there were about 23 million users present.
We represent this quality by the class separation value that we described in Section 4. The aptly titled French comic Les Blondes is entirely devoted to Dumb Blonde jokes, with the main character Vanessa embodying this trope.
However, it does not manage to achieve good results with the principal components that were best for the other two systems.