Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment

Dong Nguyen, Dolf Trieschnigg, A. Seza Doğruöz, Rilana Gravel, Mariët Theune, Theo Meder, Franciska de Jong


Anthology ID:
C14-1184
Volume:
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
Month:
August
Year:
2014
Address:
Dublin, Ireland
Editors:
Junichi Tsujii, Jan Hajic
Venue:
COLING
SIG:
Publisher:
Dublin City University and Association for Computational Linguistics
Note:
Pages:
1950–1961
Language:
URL:
https://aclanthology.org/C14-1184
DOI:
Bibkey:
Cite (ACL):
Dong Nguyen, Dolf Trieschnigg, A. Seza Doğruöz, Rilana Gravel, Mariët Theune, Theo Meder, and Franciska de Jong. 2014. Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 1950–1961, Dublin, Ireland. Dublin City University and Association for Computational Linguistics.
Cite (Informal):
Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment (Nguyen et al., COLING 2014)
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PDF:
https://aclanthology.org/C14-1184.pdf