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A Survey on Sentiment Analysis in Health Care: New Opportunities and Challenges

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Soft Computing for Security Applications (ICSCS 2023)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1449))

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Abstract

Twitter is increasingly being used as a venue for medical research because of the large number of unstructured and free-text tweets sent there on healthcare-related topics. In natural language processing, sentiment analysis is one sort of data mining that may be used to assess the direction of a person's personality. Computational linguistics is used to the analysis of text to infer and assess conceptual understanding of the internet, social media, and related topics. Healthcare information is also widely available online in the form of personal blogs, social media, and websites that rate medical conditions, but this data was not compiled in a systematic fashion. A few of the numerous advantages of sentiment analysis include better healthcare outcomes and more efficient medical practice. In this paper, we explore possible new opportunities for those researchers who want to do work in the domain of sentiment analysis in the medical field and. We explore many recent and existing papers and find out the strength and research gaps of these papers in terms of methodologies, datasets used, and different machine learning and deep learning models. These tabular forms give new direction for research in this domain.

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Authors and Affiliations

  1. Department of Computer Engineering and Application, GLA University, Mathura, Uttar Pradesh, India

    Anuj Kumar & Shashi Shekhar

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  1. Anuj Kumar
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  2. Shashi Shekhar
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Correspondence to Anuj Kumar .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Polydisciplinary Faculty of Khouribga, Department of Computer Science, University Sultan Moulay Slimane, Beni Mellal, Morocco

    Youssouf EL Allioui

  3. Department of Information Systems and Operations Management, University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

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Kumar, A., Shekhar, S. (2023). A Survey on Sentiment Analysis in Health Care: New Opportunities and Challenges. In: Ranganathan, G., EL Allioui, Y., Piramuthu, S. (eds) Soft Computing for Security Applications. ICSCS 2023. Advances in Intelligent Systems and Computing, vol 1449. Springer, Singapore. https://doi.org/10.1007/978-981-99-3608-3_43

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