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    PAN15 Author Profiling

    • data.niaid.nih.gov
    Updated Apr 9, 2020
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Celli, Fabio (2020). PAN15 Author Profiling [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_3745944

PAN15 Author Profiling

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Dataset updated
Apr 9, 2020
Dataset provided by
Stein, Benno
Rangel, Francisco
Rosso, Paolo
Potthast, Martin
Celli, Fabio
Daelemans, Walter
Description

We provide a data set that consists of Twitter tweets in English, Spanish, Italian and Dutch. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-xx. With regard to personality traits, for each trait we will provide scores (between -0.5 and 0.5).

More information about the task: Link

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