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

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Showing 21–27 of 27 papers

TitleStatusHype
Aggressive Language Identification Using Word Embeddings and Sentiment FeaturesCode0
Filtering Aggression from the Multilingual Social Media Feed—0
Merging Datasets for Aggressive Text Identification—0
An Ensemble Approach for Aggression Identification in English and Hindi Text—0
Aggression Identification and Multi Lingual Word Embeddings—0
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification—0
LSTMs with Attention for Aggression Detection—0
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