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Sentiment Analysis in the Bio-Medical DomainLiterature Survey

Sentiment Analysis in the Bio-Medical Domain: Literature Survey [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Sentiment Analysis in the Bio-Medical DomainLiterature Survey

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017
ISBN
978-3-319-68467-3
Pages
21 –38
DOI
10.1007/978-3-319-68468-0_2
Publisher site
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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.]

Published: Jan 24, 2018

Keywords: Sentic computing; Affective computing; Sentiment analysis; Biomedical text mining; Natural language processing; Medical lexicons; Commonsense

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