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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 11–20 of 27 papers

TitleStatusHype
Benchmarking Aggression Identification in Social Media—0
Bias, Threat and Aggression Identification Using Machine Learning Techniques on Multilingual Comments—0
ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Task at ICON-2021—0
Aggression Identification and Multi Lingual Word Embeddings—0
Evaluating Aggression Identification in Social Media—0
Filtering Aggression from the Multilingual Social Media Feed—0
FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection—0
Fully Connected Neural Network with Advance Preprocessor to Identify Aggression over Facebook and Twitter—0
IRIT at TRAC 2018—0
IRIT at TRAC 2020—0
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