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Sentiment Analysis in the Bio-Medical Domain

Part of the book series: Socio-Affective Computing ((SAC,volume 7))

Abstract

The best way to solve any problem is to reduce that problem to some problem whose solution is known. Similar approaches have been taken in the sentiment analysis as well. In this chapter, we discuss the importance of commonsense. This chapter will give an insight in the field of concept level sentiment analysis and Biomedical domain. It covers its importance in human life and how it has the power to influence the world of AI. The concept-level approach is the key to commonsense in AI. The following section introduces to different medical lexicons. Wordnet for Medical Events (WME) is the framework for medical concepts associated with real-world entities. Following medical lexicons, it discusses microtext analysis and levels of sentiment analysis. This chapter gives insights to Sentics. Sentics specifies the affective information associated with real-world entities, which holds the key for commonsense reasoning and decision-making.

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Notes

  1. 1.

    http://mitworld.mit.edu/video/484

  2. 2.

    http://alt.qcri.org/semeval2015/task6/

  3. 3.

    https://dev.twitter.com/overview/api

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Authors and Affiliations

  1. School of Computer Science & Engineering, Nanyang Technological University, Singapore, Singapore

    Ranjan Satapathy & Erik Cambria

  2. Division of Computing Science, University of Stirling, Stirling, UK

    Amir Hussain

Authors
  1. Ranjan Satapathy
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  2. Erik Cambria
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  3. Amir Hussain
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Satapathy, R., Cambria, E., Hussain, A. (2017). Literature Survey. In: Sentiment Analysis in the Bio-Medical Domain. Socio-Affective Computing, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-68468-0_2

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