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Aggression Identification

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.

Papers

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Showing 1–10 of 27 papers

TitleStatusHype
Aggression and Misogyny Detection using BERT: A Multi-Task ApproachCode1
ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Task at ICON-2021—0
AI\_ML\_NIT\_Patna @ TRAC - 2: Deep Learning Approach for Multi-lingual Aggression Identification—0
Benchmarking Aggression Identification in Social Media—0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts—0
Aggression Identification and Multi Lingual Word Embeddings—0
Bias, Threat and Aggression Identification Using Machine Learning Techniques on Multilingual Comments—0
An Ensemble Approach for Aggression Identification in English and Hindi Text—0
Aggression Identification in Social Media: a Transfer Learning Based Approach—0
Evaluating Aggression Identification in Social Media—0
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