Multi-emotion sentiment classification is a natural language processing (NLP) problem with valuable use cases on real-world data. We demonstrate that large-scale unsupervised language modeling combined with finetuning offers a practical solution to this task on difficult datasets, including those with label class imbalance and domain-specific context... (read more)
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Ranked #3 on
Emotion Classification
on SemEval 2018 Task 1E-c
(Macro-F1 metric)