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Sentiment Analysis in the Medical Domain

Abstract

With the raise of intelligent agents in healthcare with conversational user interface, medical sentiment analysis becomes integrated in these agents to analyse user statements regarding opinions and emotions. In contrast to the previously described text types, the texts of interest are user statements resulting from interaction with an intelligent agent, i.e. conversation data. Thus, to analyse an expressed opinion or emotion, the context of the conversation has to be considered. The relevant information can be spread across several conversation turns. Additionally, biomedical literature is subject of medical sentiment analysis. This data source is characterised by a more formal, scientific language. This chapter describes additional text sources that have already been used for medical sentiment analysis and their linguistic characteristics.

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    https://pubmed.ncbi.nlm.nih.gov.

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Denecke, K. (2023). Other Data Sources. In: Sentiment Analysis in the Medical Domain. Springer, Cham. https://doi.org/10.1007/978-3-031-30187-2_5

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  • DOI: https://doi.org/10.1007/978-3-031-30187-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30186-5

  • Online ISBN: 978-3-031-30187-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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