ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods

2018-06-01SEMEVAL 2018Unverified0· sign in to hype

Zhenghang Yin, Feixiang Wang, Man Lan, Wenting Wang

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Abstract

The paper describes our submissions to task 3 in SemEval-2018. There are two subtasks: Subtask A is a binary classification task to determine whether a tweet is ironic, and Subtask B is a fine-grained classification task including four classes. To address them, we explored supervised machine learning method alone and in combination with neural networks.

Tasks

BIG-bench Machine Learning Binary Classification Classification Feature Engineering General Classification

ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods

Abstract

Tasks

Reproductions