Cited by 59Sentiment Analysis and Opinion MiningExplainable Artificial Intelligence (XAI)Emotion and Mood Recognition

Explainable Sentiment Analysis with Applications in Medicine

Zucco, Chiara, Liang, Huizhi, Fatta, Giuseppe Di, Cannataro, Mario·2018·2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Abstract

Sentiment Analysis can help to extract knowledge related to opinions and emotions from user generated text information. It can be applied in medical field for patients monitoring purposes. With the availability of large datasets, deep learning algorithms have become a state of the art also for sentiment analysis. However, deep models have the drawback of not being non human-interpretable, raising various problems related to model's interpretability. Very few work have been proposed to build models that explain their decision making process and actions. In this work, we review the current sentiment analysis approaches and existing explainable systems. Moreover, we present a critical review of explainable sentiment analysis models and discussed the insight of applying explainable sentiment analysis in the medical field.

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Crossref · 10.1109/bibm.2018.8621359

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Authors
Zucco, C., Liang, H., Fatta, G. D., & Cannataro, M.
Affiliations
  • Magna Graecia University (IT)
  • University of Reading (GB)
Venue
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Publisher
IEEE
Published
2018-12
Pages
1740-1747
OpenAlex
W2912771644
Cited by
59
References
75
Citations by year
2026: 1 · 2025: 7 · 2024: 9 · 2023: 16 · 2022: 7 · 2021: 13 · 2020: 5 · 2019: 1
FWCI
1.89
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (publishedVersion)
  • Open Research (University of Surrey) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
sentiment analysis, model interpretability, explainable AI, medical applications, patient monitoring, user-generated text, deep learning models, clinical text mining

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