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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.Source: WNUT 2016 [Elektronski vir] : proceedings of the Workshop (Str. 4-12)Type of material - conference contributionPublish date - 2016Language - englishCOBISS.SI-ID - 62996322
Author
Ljubešić, Nikola, 1979- |
Fišer, Darja, 1978-
Topics
računalniško posredovana komunikacija |
Twitter |
tviti |
korpusno jezikoslovje |
družbena omrežja |
avtomatska identifikacija latentnih značilnosti uporabnikov |
computer-mediated communication |
Twitter |
tweets |
coprus linguistics |
corpora |
automatic identification of latent user attributes
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Database name | Field | Year |
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Ljubešić, Nikola, 1979- | 36871 |
Fišer, Darja, 1978- | 26294 |
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