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An experimental study for the Cross Domain Author Profiling classification

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Academic year: 2017

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Table 1.  Vocabulary (number of words without repetition), number of terms (words), number of files and average number of terms for each collection
Table 2.  List of the cross domain experiments carried out.
Table 3.  Accuracy obtained in cross domain classifications / LibLINEAR” algorithms.only by gender with “Naïve Bayes
Figure 1.  Summary of the results obtained for the cross domain classification only by gender distinguished by representations and classifiers
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