Abstract
Data is necessary for training sentiment classifiers as well as for testing and comparing sentiment algorithms. The datasets that have been used for medical sentiment analysis are described in this chapter. We separate datasets made up of clinical records from those made up of information from social media. Most of the currently accessible corpora are in English. Although available clinical datasets such as MIMIC-II or i2B2 datasets were not initially designed for medical sentiment analysis, researchers have used them for this purpose and manually added sentiment annotations. Data privacy concerns are one factor for the limited availability of clinical datasets. This chapter first summarises challenges of creating datasets for medical sentiment analysis. Second, it describes available datasets that have been used already by researchers in medical sentiment analysis.
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Denecke, K. (2023). Datasets for Medical Sentiment Analysis. In: Sentiment Analysis in the Medical Domain. Springer, Cham. https://doi.org/10.1007/978-3-031-30187-2_6
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DOI: https://doi.org/10.1007/978-3-031-30187-2_6
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