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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
Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVMCode0
Bagging BERT Models for Robust Aggression IdentificationCode0
Aggression Identification Using Deep Learning and Data AugmentationCode0
Controversy and Conformity: from Generalized to Personalized Aggressiveness DetectionCode0
Aggressive Language Identification Using Word Embeddings and Sentiment FeaturesCode0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts—0
An Ensemble Approach for Aggression Identification in English and Hindi Text—0
AI\_ML\_NIT\_Patna @ TRAC - 2: Deep Learning Approach for Multi-lingual Aggression Identification—0
Aggression Identification in Social Media: a Transfer Learning Based Approach—0
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