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Sentiment Analysis Tools

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Sentiment Analysis in the Medical Domain
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Abstract

When we want to study sentiment distributions or opinions in medical texts or require sentiment scores for risk prediction, the simplest way is to use out-of-the box tools. Some of them are described in this chapter. We are focusing on tools that have been used and tested for medical sentiment analysis. There are clearly more tools available. However, it seems that at the time of writing this book no out-of-the box tool is available that has been specifically attuned to process clinical narratives or is focusing specifically on medical sentiment analysis.

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Notes

  1. 1.

    https://textblob.readthedocs.io/en/dev/.

  2. 2.

    https://github.com/clips/pattern.

  3. 3.

    http://sentistrength.wlv.ac.uk.

  4. 4.

    https://rapidminer.com.

  5. 5.

    https://semantria-docs.lexalytics.com/docs.

  6. 6.

    https://www.linguisticanalysistools.org/seance.html.

  7. 7.

    https://www.knime.com.

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Denecke, K. (2023). Sentiment Analysis Tools. In: Sentiment Analysis in the Medical Domain. Springer, Cham. https://doi.org/10.1007/978-3-031-30187-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-30187-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30186-5

  • Online ISBN: 978-3-031-30187-2

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