Gender Recognition on Dutch Tweets - PDF Gender Recognition on Dutch Tweets - PDF

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With one exception author is recognized as male when using trigramsall feature types agree on the misclassification.

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TiMBL peaks a bit later at with Entrepreneur Grace Fodor agrees. This corpus has been used extensively since.

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We aimed for users. Confidence scores for gender assignment with regard to the female and male profiles built by SVR on the basis of token unigrams. 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.

LP keeps its peak at 10, but now even lower than for the token n-grams Another interesting group of authors is formed by the misclassified ones.

An interesting observation is that there is a clear class of misclassified users who have Dating 60 plussers majority of opposite gender users in their social network.

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Most of them rely on the tokenization described above. In this section, we will attempt to get closer to the answer to this question.

However, his Twitter network contains mostly female friends. Here the grid search investigated: While plus women feel very confident in their abilities and opinions, 48 per cent of those surveyed said they felt less confident about their appearance than they had a decade ago, citing pressure to stay looking young — and 83 per cent felt this affected their self-image.

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The most obvious male is authorwith a resounding Looking at his texts, we indeed see a prototypical young male Twitter user: From each user s tweets, we removed all retweets, as these did not contain original text by the author. We used the most frequent, as measured on our tweet collection, of which the example tweet contains the words ik, dat, heeft, op, een, voor, and het.

The only hyperparameters we varied in the grid search are the metric Numerical and Cosine distance and the weighting no weighting, information gain, gain ratio, chi-square, shared variance, and standard deviation.

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Rather than using fixed hyperparameters, we let the control shell choose them automatically in a grid search procedure, based on development data.

Below, in Section 5.

For each test author, we determined the optimal hyperparameter settings with regard to the classification of all other authors in the same part of the corpus, in effect using these as development material. Taking again SVR on unigrams as our starting point, this group contains 11 males and 16 females.

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Normalized 3-gram About 36K features. We then measured for which percentage of the authors in the corpus this score was in agreement with the actual gender.

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For the character n-grams, our first observation is that the normalized versions are always better than the original versions. We get involved, stay curious, mentor others, and Allkpop baekhyun dating passionate, compassionate, creative, confident, collaborative, global-minded risk takers.