1 dataset found
PAN18 Author Profiling
- zenodo.org
Updated Apr 9, 2020
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EmailClick to copy linkLink copiedCiteFrancisco 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.3746006Unique identifierhttps://doi.org/10.5281/zenodo.3746006Dataset updatedApr 9, 2020AuthorsFrancisco Rangel; Manuel Montes-y-Gómez; Martin Potthast; Martin Potthast; Benno Stein; Benno Stein; Francisco Rangel; Manuel Montes-y-GómezDescriptionWe 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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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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https://doi.org/10.5281/zenodo.3746006Dataset updated
Apr 9, 2020Authors
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