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Again, we take the token unigrams as a starting point. Racial identity also held a lot of debate inafter Rachel Dolezal, a white woman presenting herself as a black woman, said she identified as biracial or transracial.
And LP just mirrors its behaviour with 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.
For only one feature type, character trigrams, LP with PCA manages to reach a higher accuracy than SVR, but the difference is not statistically significant.
It was a year of real awakening to complicity in various sectors of society, from politics to pop culture. We first describe the features we used Section 4.
In this section, we will attempt to get closer to the answer to this question. The age is reconfirmed by the endearingly high presence of mama and papa.
This meant that, if we still wanted to use k-nn, we would have to reduce the dimensionality of our feature vectors. There is much more variation in the topics, but most of it is clearly girl talk of the type described in Section 5.
Below, in Section 5. The national debate can arguably be summarized by the question: Only time will tell if the latest wave of change Americans voted for in the midterm elections will result in a negative or positive outcome. The control shell then weighted each score by multiplying it by the class separation value on the development data for the settings in question, and derived the final score by averaging.
Original 5-gram About K features. From the aboutusers who are assigned a gender by TwiQS, we took a random selection in such a manner that the volume distribution i.
Normalized 1-gram About features.
In this paper we restrict ourselves to gender recognition, and it is also this aspect we will discuss further in this section. For the other feature types, we see some variation, but most scores are found near the top of the lists.
Here's an excerpt from our Word of the Year announcement in When using all user tweets, they reached an accuracy of
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