SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 27 papers

TitleStatusHype
The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts—0
Bagging BERT Models for Robust Aggression IdentificationCode0
Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVMCode0
Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach—0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts—0
Merging Datasets for Aggressive Text Identification—0
Aggression Identification and Multi Lingual Word Embeddings—0
Aggressive Language Identification Using Word Embeddings and Sentiment FeaturesCode0
An Ensemble Approach for Aggression Identification in English and Hindi Text—0
Benchmarking Aggression Identification in Social Media—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.