MDD @ AMI: Vanilla Classifiers for Misogyny Identification
In this report1, we present a set of vanilla classifiers that we used to identify misogynous and aggressive texts in Italian social media. Our analysis shows that simple classifiers with little feature engineering have a strong tendency to overfit and yield a strong bias on the test set. Additionall...
Guardado en:
| Autores principales: | , |
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| Formato: | Chapter |
| Lenguaje: | Inglês |
| Publicado: |
Accademia University Press
2020
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| Acceso en línea: | https://doi.org/10.4000/books.aaccademia.6819 https://hdl.handle.net/20.500.13089/1di2 https://books.openedition.org/aaccademia/6819 |
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