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Emotion Detection From Tweets Using a BERT and SVM Ensemble Model. (arXiv:2208.04547v1 [cs.CL])
Aug. 10, 2022, 1:11 a.m. | Ionuţ-Alexandru Albu, Stelian Spînu
cs.CL updates on arXiv.org arxiv.org
Automatic identification of emotions expressed in Twitter data has a wide
range of applications. We create a well-balanced dataset by adding a neutral
class to a benchmark dataset consisting of four emotions: fear, sadness, joy,
and anger. On this extended dataset, we investigate the use of Support Vector
Machine (SVM) and Bidirectional Encoder Representations from Transformers
(BERT) for emotion recognition. We propose a novel ensemble model by combining
the two BERT and SVM models. Experiments show that the proposed model …
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