1 dataset found

  1. PAN14 Author Profiling

    • zenodo.org
    Updated Mar 19, 2020
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    Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Potthast; Martin Potthast; Martin Trenkmann; Benno Stein; Benno Stein; Ben Verhoeven; Walter Daelemans; Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Trenkmann; Ben Verhoeven; Walter Daelemans (2020). PAN14 Author Profiling [Dataset]. http://doi.org/10.5281/zenodo.3716008
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    Unique identifier
    https://doi.org/10.5281/zenodo.3716008
    Dataset updated
    Mar 19, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Potthast; Martin Potthast; Martin Trenkmann; Benno Stein; Benno Stein; Ben Verhoeven; Walter Daelemans; Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Trenkmann; Ben Verhoeven; Walter Daelemans
    Description

    We provide you with a training data set that consists of blog posts, Twitter tweets and social media texts written in both English and Spanish as well as hotel reviews written in English. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Potthast; Martin Potthast; Martin Trenkmann; Benno Stein; Benno Stein; Ben Verhoeven; Walter Daelemans; Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Trenkmann; Ben Verhoeven; Walter Daelemans (2020). PAN14 Author Profiling [Dataset]. http://doi.org/10.5281/zenodo.3716008
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PAN14 Author Profiling

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Unique identifier
https://doi.org/10.5281/zenodo.3716008
Dataset updated
Mar 19, 2020
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Potthast; Martin Potthast; Martin Trenkmann; Benno Stein; Benno Stein; Ben Verhoeven; Walter Daelemans; Francisco Rangel; Paolo Rosso; Irina Chugur; Martin Trenkmann; Ben Verhoeven; Walter Daelemans
Description

We provide you with a training data set that consists of blog posts, Twitter tweets and social media texts written in both English and Spanish as well as hotel reviews written in English. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.

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