Papers by Hector Ceballos

2 papers
Detecting Sexism in Tweets: A Sentiment Analysis and Graph Neural Network Approach (2025.naacl-srw)

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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.
NLP Progress in Indigenous Latin American Languages (2024.naacl-long)

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Challenge: a new study examines the marginalization of indigenous languages in the face of rapid technological advancements.
Approach: They highlight the cultural richness of indigenous languages and the risk they face of being overlooked in the realm of natural language processing.
Outcome: The authors highlight the cultural richness of indigenous languages and their risk of being overlooked in the realm of natural language processing.

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