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  1. PAN18 Author Profiling

    • zenodo.org
    • data.niaid.nih.gov
    Updated Apr 9, 2020

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Francisco Rangel; Manuel Montes-y-Gómez; Martin Potthast; Martin Potthast; Benno Stein; Benno Stein; Francisco Rangel; Manuel Montes-y-Gómez (2020). PAN18 Author Profiling [Dataset]. http://doi.org/10.5281/zenodo.3746006
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PAN18 Author Profiling

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2 scholarly articles cite this dataset (View in Google Scholar)
Unique identifier
https://doi.org/10.5281/zenodo.3746006
Dataset updated
Apr 9, 2020
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Francisco Rangel; Manuel Montes-y-Gómez; Martin Potthast; Martin Potthast; Benno Stein; Benno Stein; Francisco Rangel; Manuel Montes-y-Gómez
Description

We provide you with a training data set that consists of Twitter users labeled with gender. For each author, a total of 100 tweets and 10 images are provided. Authors are grouped by the language of their tweets: English, Arabic and Spanish.

More information about the task: Link

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