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...
Збережено в:
| Автори: | , |
|---|---|
| Формат: | Chapter |
| Мова: | Inglês |
| Опубліковано: |
Accademia University Press
2020
|
| Онлайн доступ: | https://doi.org/10.4000/books.aaccademia.6819 https://hdl.handle.net/20.500.13089/1di2 https://books.openedition.org/aaccademia/6819 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
