This paper presents system description of our submission to the SemEval-2018 task-1: Affect in tweets for the English language. We combine three different features generated using deep learning models and traditional methods in support vector machines to create a unified ensemble system. A robust representation of a tweet is learned using a multi-attention based architecture which uses a mixture of different pre-trained embeddings. In addition, analysis of different features is also presented. Our system ranked 2 nd , 5 th , and 7 th in different subtasks among 75 teams.
In REF they combined three different features generated using deep learning models and traditional methods in support vector machines (SVMs) to create an unified ensemble system.
TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture
SemEval@NAACL-HLT
Computer Science