Papers by Djamila Romaissa Beddiar

1 papers
Data Expansion Using WordNet-based Semantic Expansion and Word Disambiguation for Cyberbullying Detection (2022.lrec-1)

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Challenge: Existing methods to identify cyberbullying from text are limited due to the complexity of the content and the lack of labeled large-scale corpus.
Approach: They propose a data augmentation-based approach that could enhance the automatic detection of cyberbullying in social media texts.
Outcome: The proposed approach overcomes limitations of social media posts with word sense disambiguation and synonymy relation . results show that the proposed approach improves on the existing classifiers with and without data augmentation.

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