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Sentiment Analysis in the Medical Domain

  • Book
  • © 2023

Overview

Authors:
  1. Kerstin Denecke

    1. Bern University of Applied Sciences, Bern, Switzerland

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  • The book allows readers to dive into the research topic of medical sentiment analysis
  • No such comprehensive overview on this topic is yet available
  • Strength, weaknesses, opportunities and threats of medical sentiment analysis are described

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xv
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  2. Landscape of Medical Sentiment

    1. Front Matter

      Pages 1-1
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    2. What is Special about Medical Sentiment Analysis?

      • Kerstin Denecke
      Pages 3-9

    3. Use Cases of Medical Sentiment Analysis

      • Kerstin Denecke
      Pages 11-21

  3. Resources and Challenges

    1. Front Matter

      Pages 23-23
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    2. Medical Social Media and Its Characteristics

      • Kerstin Denecke
      Pages 25-30

    3. Clinical Narratives and Their Characteristics

      • Kerstin Denecke
      Pages 31-33

    4. Other Data Sources

      • Kerstin Denecke
      Pages 35-36

    5. Datasets for Medical Sentiment Analysis

      • Kerstin Denecke
      Pages 37-42

    6. Lexical Resources for Medical Sentiment Analysis

      • Kerstin Denecke
      Pages 43-49

  4. Solutions

    1. Front Matter

      Pages 51-51
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    2. Levels and Tasks of Sentiment Analysis

      • Kerstin Denecke
      Pages 53-58

    3. Document Pre-processing

      • Kerstin Denecke
      Pages 59-65

    4. Lexicon-Based Medical Sentiment Analysis

      • Kerstin Denecke
      Pages 67-69

    5. Machine Learning-Based Sentiment Analysis Approaches

      • Kerstin Denecke
      Pages 71-78

    6. Sentiment Analysis Tools

      • Kerstin Denecke
      Pages 79-82

    7. Case Studies

      • Kerstin Denecke
      Pages 83-92

  5. Future

    1. Front Matter

      Pages 93-93
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    2. Medical Sentiment Analysis: Quo Vadis?

      • Kerstin Denecke
      Pages 95-100

    3. Open Challenges Related to Language

      • Kerstin Denecke
      Pages 101-107
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Keywords

About this book

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers numerous application areas in the domain of medicine, but also research challenges. The book provides a comprehensive introduction to the topic. The primary purpose is to provide the necessary background on medical sentiment analysis, ranging from a description of the notions of medical sentiment to use cases that have been considered already and application areas of relevance.  Medical sentiment analysis uses natural language processing (NLP), text analysis and machine learning to realise the process of extracting and classifying statements regarding expressed opinion and sentiment. The book offers a comprehensive overview on existingmethods of sentiment analysis applied to healthcare resources or health-related documents. It concludes with open research avenues providing researchers indications which topics still have to be developed in more depth.

Authors and Affiliations

  • Bern University of Applied Sciences, Bern, Switzerland

    Kerstin Denecke

About the author

Dr. Kerstin Denecke is an expert in the field of medical informatics. She works as a professor and researcher at the Bern University of Applied Sciences, Switzerland. Her major research interests include artificial intelligence and (clinical) natural language processing in general and more specifically, information extraction, sentiment analysis and conversational agents. Her work concentrates on use cases in the healthcare domain. She completed a doctoral degree at the Technical University of Braunschweig, Germany. She is leading several projects in the field of natural language processing and artificial intelligence and co-chairs the working group on participatory health informatics and social media or the International Medical Informatics Association.

Bibliographic Information

  • Book Title: Sentiment Analysis in the Medical Domain

  • Authors: Kerstin Denecke

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

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-30186-5Published: 25 May 2023

  • Softcover ISBN: 978-3-031-30189-6Due: 25 June 2023

  • eBook ISBN: 978-3-031-30187-2Published: 24 May 2023

  • Edition Number: 1

  • Number of Pages: XV, 151

  • Number of Illustrations: 2 b/w illustrations, 14 illustrations in colour

  • Topics: Health Informatics, Data Mining and Knowledge Discovery

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