Juan Luís Domínguez Olmedo

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2021

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Identification of profession & occupation in Health-related Social Media using tweets in Spanish
Victoria Pachón | Jacinto Mata Vázquez | Juan Luís Domínguez Olmedo
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task

In this paper we present our approach and system description on Task 7a in ProfNer-ST: Identification of profession & occupation in Health related Social Media. Our main contribution is to show the effectiveness of using BETO-Spanish BERT as a model based on transformers pretrained with a Spanish Corpus for classification tasks. In our experiments we compared several architectures based on transformers with others based on classical machine learning algorithms. With this approach, we achieved an F1-score of 0.92 in the evaluation process.
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