EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
Nikhil Chakravartula, Vijayasaradhi Indurthi · 2019
This paper describes our participation in the SemEval 2019 Task 3 -Contextual Emotion Detection in Text.This task aims to identify emotions, viz.happiness, anger, sadness in the context of a text conversation.Our system is a stacked Bidirectional LSTM, equipped with attention on top of word embeddings pretrained on a large collection of Twitter data.In this paper, apart from describing our official submission, we elucidate how different deep learning models respond to this task.