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This paper describes our NIHRIO system for SemEval-2018 Task 3 "Ironydetection in English tweets". We propose to use a simple neural networkarchitecture of Multilayer Perceptron with various types of input featuresincluding: lexical, syntactic, semantic and polarity features. Our systemachieves very high performance in both subtasks of binary and multi-class ironydetection in tweets. In particular, we rank third using the accuracy metric andfifth using the F1 metric. Our code is available athttps://github.com/NIHRIO/IronyDetectionInTwitter

NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter