Sep 24, 2018 · Abstract:The original goal of any social media platform is to facilitate users to indulge in healthy and meaningful conversations.
We successfully built a deep context-aware attention-based model and applied it to the task of abusive tweet detection. We ran experi- ments on three relevant ...
The complexity of the natural language constructs makes this task challenging. We show how applying contextual attention to Long Short Term Memory networks help ...
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Context-aware attention for understanding twitter abuse. ArXiv,. abs/1809.08726, 2018. 4. Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten ...
Apr 17, 2024 · This paper presents a novel approach for detecting abuse on Twitter. Abusive posts have become a major problem for social media platforms ...
Deep Context-Aware Embedding is presented for the detection of Hate speech and abusive language on twitter by considering polsemy, syntax, semantic, ...
Missing: Abuse. | Show results with:Abuse.
Apr 30, 2024 · This paper presents a novel approach for detecting abuse on Twitter. Abusive posts have become a major problem for social media platforms ...
In this paper, we present Deep Context-Aware Embedding to analyze the tweets and identify abusive tweets. ... Context-aware attention for understanding twitter ...
Aug 3, 2021 · AraBERT generates the contextualized embedding, and the attention-based LSTM-BiLSTM determines the label-emotion of tweets by extracting both ...
Missing: Abuse. | Show results with:Abuse.
May 20, 2024 · Keywords: Abusive language detection, Conversational context, Context-aware classification ... tion of Twitter Abusive Behavior. In Twelfth ...