Dataset Restricted Access
PAN17 Author Profiling
Rangel, Francisco;
Rosso, Paolo;
Potthast, Martin;
Stein, Benno
We provide you with a training data set that consists of Twitter tweets in English, Spanish, Portuguese and Arabic, labeled with gender and language variety.
More information about the task: Link
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Francisco Rangel, Paolo Rosso, Martin Potthast, and Benno Stein. Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomas Mandl, editors, CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers, 11-14 September, Dublin, Ireland, September 2017. CEUR-WS.org. ISSN 1613-0073.
| All versions | This version | |
|---|---|---|
| Views | 859 | 859 |
| Downloads | 159 | 159 |
| Data volume | 6.9 GB | 6.9 GB |
| Unique views | 592 | 592 |
| Unique downloads | 80 | 80 |
- Publication date:
- September 11, 2017
- DOI:
-
- Keyword(s):
- twitter tweets english spanish portuguese arabic author profiling pan 2017
- Published in:
- CLEF 2017 Labs and Workshops, Notebook Papers.
- Meeting:
- Conference title: PAN at Conference and Labs of the Evaluation Forum 2017 (PAN at CLEF 2017)
- Communities: