Papers by Diana P. Madera-Espíndola
Detecting Sexism in Tweets: A Sentiment Analysis and Graph Neural Network Approach (2025.naacl-srw)
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Diana P. Madera-Espíndola, Zoe Caballero-Domínguez, Valeria J. Ramírez-Macías, Sabur Butt, Hector Ceballos
| Challenge: | a new tool to detect sexism on social media platforms is being developed to identify such behavior . sexist ideologies such as sextism and gender-based violence can be spread through social media . |
| Approach: | They propose to use BERT and GraphSAGE to analyze tweets for sexism detection . they also use sentiment analysis and natural language processing techniques to classify tweets . |
| Outcome: | The proposed tool analyzes tweets for sexism detection and classifies them into five categories. |