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  • Private or Corporate? Predicting user types on Twitter [Elektronski vir]
    Ljubešić, Nikola, 1979- ; Fišer, Darja, 1978-
    In this paper we present a series of experiments on discriminating between private and corporate accounts on Twitter. We define features based on Twitter metadata, morphosyntactic tags and surface ... forms, showing that the simple bag-of-words model achieves single best results that can, however, be improved by building a weighted soft ensemble of classifiers based on each feature type. Investigating the time and language dependence of each feature type delivers quite unexpecting results showing that features based on metadata are neither time- nor language-insensitive as the way the two user groups use the social network varies heavily through time and space.
    Type of material - conference contribution
    Publish date - 2016
    Language - english
    COBISS.SI-ID - 62996322