Browse State-of-the-Art › Aggression Identification
Aggression Identification
6 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Develop a classifier that could make a 3-way classification in-between ‘Overtly Aggressive’, ‘Covertly Aggressive’ and ‘Non-aggressive’ text data. For this, TRAC-2 dataset of 5,000 aggression-annotated data from social media each in Bangla (in both Roman and Bangla script), Hindi (in both Roman and Devanagari script) and English for training and validation is to be used.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
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Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (27 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 Aug 2021 1 repository listedThere is content such as hate speech, offensive, toxic or aggressive documents, which are perceived differently by their consumers.
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1 May 2020 1 repository listedIn this paper, we describe such an ensemble system and present our submission to the shared tasks on aggression identification 2020 (team name: Julian).
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1 May 2020 1 repository listedIn our study, we used English BERT (En-BERT), RoBERTa, DistilRoBERTa, and SVM based classifiers for English language.
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1 May 2020 1 repository listedIn recent times, the focus of the NLP community has increased towards offensive language, aggression, and hate-speech detection.
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1 Aug 2018 1 repository listedSeveral machine learning methods and different combinations of features were tried.
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1 Aug 2018 1 repository listedSocial media platforms allow users to share and discuss their opinions online.
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