Published on 10 September 2018

PAN18 Author Profiling

Rangel, Francisco;Montes-y-Gómez, Manuel;Potthast, Martin;Stein, Benno

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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Metrics

Dataset Index

1.7

FAIR Score

69%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.5281/zenodo.3746005

Publisher

Zenodo

Assigned Domain

Subfield

Information Systems

Field

Computer Science

Domain

Physical Sciences

Confidence Score

36%

Source

Scholar Data Model

Keywords

twittertweetsenglisharabicspanishpan2018

Normalization Factors

13.46

CTw

1.00

MTw

1.00