Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/24422
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| Title: | Multi-Language Neural Network Model with Advance Preprocessor for Gender Classification over Social Media |
| Authors: | Raiyani, Kashyap
Gonçalves, Teresa
Quaresma, Paulo
Nogueira, Vítor |
| Issue Date: | 2018 |
| Publisher: | CLEF'2018 |
| Citation: | Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma, and Vı́tor Beires Nogueira. Multi-
language neural network model with advance preprocessor for gender classification over
social media: Notebook for pan at clef 2018. In Working Notes of CLEF 2018 - Conference
and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018. |
| Abstract: | This paper describes approaches for the Author Profiling Shared Task
at PAN 2018. The goal was to classify the gender of a Twitter user solely by their
tweets. Paper explores a simple and efficient Multi-Language model for gender
classification. The approach consists of tweet preprocessing, text representation
and classification model construction. The model achieved the best results on
the English language with an accuracy of 72.79%; for the Spanish and Arabic
languages the accuracy was 72.20% and 64.36%, respectively. |
| URI: | http://aclweb.org/anthology/W18-4404
http://hdl.handle.net/10174/24422 |
| Type: | lecture |
| Appears in Collections: | INF - Comunicações - Em Congressos Científicos Internacionais
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