In Anzovino et al. (2018) , tweets identified as misogynist are classified as discredit, stereotype and objectification, dominance, or derailing, sexual harassment, and threats of violence using features involving n-grams, part of speech (POS) tags and text embedding. ... ...
May 22, 2018 · Token n-grams allow to achieve competitive results, especially for the task of misogynistic language identification in Twitter where indeed ...
This paper presents an approach that is able to detect the two sides of patriarchal behavior, misogyny and sexism, analyzing three collections of English ...
Automatic Identification and Classification of Misogynistic Language on Twitter. Year: 2018. Aurthor: Anzovino, M., Fersini, E. and Rosso, P. Publisher ...
Mar 18, 2021 · Misogyny identification (Binary): tweets con- tents are classified into misogynistic and non- misogynistic. This requires merging the seven.
Automatic Identification and Classification of Misogynistic Language on Twitter. Authors: Maria Anzovino. Maria Anzovino. University of Milano-Bicocca, Milan ...
Automatic Identification and Classification of Misogynistic Language on Twitter ... identifying misogynist language on Twitter (and other online social spaces).
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What are some examples of misogynistic language?
We investigate the most predictive linguistic features to distinguish misogynistic content from not-misogynistic content. •. Relationships between misogyny and ...
Automatic Identification and Classification of Misogynistic Language on Twitter · The problem of identifying misogynist language on Twitter (and other online ...
For this purpose, the same machine learning approach is used to detect automat- ically misogynistic and sexist tweets against women in the English language.