In this paper, we describe the system submitted for the SemEval 2018 Task 3 (Irony detection in English tweets) Subtask A by the team Binarizer. Irony detection is a key task for many natural language processing works. Our method treats ironical tweets to consist of smaller parts containing different emotions. We break down tweets into separate phrases using a dependency parser. We then embed those phrases using an LSTM-based neural network model which is pre-trained to predict emoticons for tweets. Finally, we train a fully-connected network to achieve classification.
@article{arxiv.1805.01112,
title = {Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection},
author = {Nishant Nikhil and Muktabh Mayank Srivastava},
journal= {arXiv preprint arXiv:1805.01112},
year = {2018}
}