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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2016
License: CC BY
Data sources: ZENODO
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TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling

Authors: Verhoeven, Ben; Daelemans, Walter; Plank, Barbara;

TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling

Abstract

TwiSty is a corpus developed for research in author profiling. It contains personality (MBTI) and gender annotations for a total of 18,168 authors spanning six languages. We distribute the Twitter ids of these authors as well as the ids of their available tweets at the time of corpus development. The tweets have undergone language identification and can be found in a Confirmed (as belonging to the language in which the author is situated) and Other category.

Country
Belgium
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Keywords

Twitter, Multilingual, TwiSty, Gender, Linguistics, Author profiling, Personality

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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