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    Authorship identification using random projections

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    The paper describes the results of experiments in applying the Random Projection (RP) method for authorship identification of online texts. We propose using RP for feature dimensionality reduction to low-dimensional feature subspace combined with probability density function (PDF) estimation for identification of the features of each author. In our experiments, we use the dataset of Internet comments posted on a web news site in Lithuanian language, and we have achieved 92% accuracy of author identificationKauno technologijos universitetasTaikomosios informatikos katedraVytauto Didžiojo universiteta
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