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Irony Detection in Arabic Tweets

This repository contains the code of RGCL's submission for IDAT 2019 Shared Task. The task aims at detecting irony in Arabic tweets. Given a tweet, systems have to classify it as either ironic or not ironic. As far as we know, this is the first shared task on irony for the Arabic language.

Model Precision Recall F1
Capsule 0.807 0.800 0.798
CNN 0.806 0.801 0.800
Pooled GRU 0.800 0.789 0.785
Attention LSTM 0.788 0.766 0.760
Attention LSTM GRU 0.783 0.768 0.762
Attention Capsule 0.776 0.768 0.764

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This repo is the work done for IDAT 2019 Shared Task — Shared Task on detecting irony in Arabic tweets by RGCL

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