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Repository for our submission to the SemEval EmoContext Competition

Jupyter Notebook 85.09% Python 14.91%

sentiment-classification keras-tensorflow semeval-2019 emocontext

nelec's Introduction

NELEC at EmoContext : A Shared Task on Contextual Emotion Detection in Text

Our submission (NELEC) to the 3rd SemEval-2019 task : EmoContext. Pre-print (arXiv) available here

Notebook includes:

Regex-based replacement for slangs/typos
Basic data processing to increase vocabulary coverage
Recurrent model with LSTM and GRU bidirectional cells (skip connections), attention and cyclic-LR
emoji2vec for handling emojis in data

NELEC Source Code

The source code for NELEC is implemented in a proprietary internal Microsoft tool, and thus cannot be open-sourced. Contact either of the authors to know more.

Coming Soon

Implementation of NELEC in Python

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