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If you love this content, and love that it's free for everyone, please consider a donation to support our work. From this material, we considered all tweets with a date stamp in and In all, there were about 23 million users present. From each user s tweets, we removed all retweets, as these did not contain original text by the author.

LP keeps its peak at 10, but now even lower than for the token n-grams We did a quick spot check with authora girl who plays soccer and is therefore also misclassified often; here, the PCA version agrees with and misclassified even stronger than the original unigrams versus. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

These percentages are presented below in Section Profiling Strategies In this section, we describe the strategies that we investigated for the gender recognition task.

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Feel free to Share our converstation within our own social networks and challenge them to part of the conversation. Attribution — You must give appropriate creditprovide a link to the license, and indicate if changes were made. The information contained in this article is provided in good faith and reflects the personal views of the author.

Another system that predicts the gender for Dutch Twitter users is TweetGenie http: Finally, we included feature types based on character n-grams following kjell et al. 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.

The age is reconfirmed by the endearingly high presence of mama and papa.

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Top Function 4: And, obviously, it is unknown to which degree the information that is present is true. We represent this quality by the class separation value that we described in Section 4.

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In scores, too, we see far more variation. URLs and addresses are not completely covered.


Please use the comment section below to share your ideas, suggestions and feedback. In this case, it would seem that the systems are thrown off by the political texts. In this way, we derived a classification score for each author without the system having any direct or indirect access to the actual gender of the author.

For each setting and author, the systems report both a selected class and a floating point score, which can be used as a confidence score. In this paper we restrict ourselves to gender recognition, and it is also this aspect we will discuss further in this section.

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Accuracy Percentages for various Feature Types and Techniques. No warranties are given. Alvast bedankt voor je reactie en geniet van deze mooie dag. Even the character 5-grams have ranks up to 40 for this top As the input features are numerical, we used IB1 with k equal to 5 so that we can derive a confidence value.

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This content is freely available under simple legal terms because of Creative Commons, a non-profit that survives on donations. An interesting observation is that there High end dating service dallas a clear class of misclassified users who have a majority of opposite gender users in their social network.

A group which is very active in studying gender recognition among other traits on the basis of text is that around Moshe Koppel.

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Before being Mooie mensen dating site in comparisons, all feature counts were normalized to counts per words, and then transformed to Z-scores with regard to the average and standard deviation within each feature.

After this, we examine the classification of individual authors Section 5. Then, we used a set of feature types based on token n-grams, with which we already had previous experience Van Bael and van Halteren