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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

Showing 1120 of 27 papers

TitleStatusHype
IRIT at TRAC 20200
FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection0
Aggression Identification in Social Media: a Transfer Learning Based Approach0
Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVMCode0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts0
TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'180
Aggression Identification Using Deep Learning and Data AugmentationCode0
Fully Connected Neural Network with Advance Preprocessor to Identify Aggression over Facebook and Twitter0
IRIT at TRAC 20180
Benchmarking Aggression Identification in Social Media0
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