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...
Gorde:
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Chapter |
| Hizkuntza: | Inglês |
| Argitaratua: |
Accademia University Press
2020
|
| Sarrera elektronikoa: | https://doi.org/10.4000/books.aaccademia.6819 https://hdl.handle.net/20.500.13089/1di2 https://books.openedition.org/aaccademia/6819 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|