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Found 5 papers, 1 papers with code
EmoMent: An Emotion Annotated Mental Health Corpus from two South Asian Countries
People often utilise online media (e. g., Facebook, Reddit) as a platform to express their psychological distress and seek support.
Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability
Our best performing ensemble model based on DistilBERT has achieved 0. 73 and 0. 74 of F1 score in the task of classifying hate speech (Task A) and aggressiveness and target (Task B) respectively.
AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media
This paper describes the systems our team (AdelaideCyC) has developed for SemEval Task 12 (OffensEval 2020) to detect offensive language in social media.
Enhancing the Identification of Cyberbullying through Participant Roles
Cyberbullying is a prevalent social problem that inflicts detrimental consequences to the health and safety of victims such as psychological distress, anti-social behaviour, and suicide.
Automatic Detection of Cross-Disciplinary Knowledge Associations
This will also introduce new areas of research that can be successfully linked with their research discipline.
