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Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media

Pilar López Úbeda, Manuel Carlos Díaz Galiano, Maite Martin, L. Alfonso Urena Lopez
2019 Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task   unpublished

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Today social networks play an important role, where people can share information related to health. This information can be used for public health monitoring tasks through the use of Natural Language Processing (NLP) techniques. Social Media Mining for Health Applications (SMM4H) provides tasks such as those described in this document to help manage information in the health domain. This document shows the first participation of the SINAI group in SMM4H. We study approaches based on machine
more » ... ning and deep learning to extract adverse drug reaction mentions from highly informal texts in Twitter. The results obtained in the tasks are encouraging, we are close to the average of all participants and even above in some cases.
doi:10.18653/v1/w19-3216 fatcat:qinzyxkb2bay3an7tklt3ax72i
Citation

Pilar López Úbeda, Manuel Carlos Díaz Galiano, Maite Martin, L. Alfonso Urena Lopez. "Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media." Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task (2019)