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Sentiment Analysis of Healthcare Big Data: A Fundamental Study

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Computationally Intelligent Systems and their Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 950))

Abstract

Healthcare sentiment research is structured to determine patients’ diagnoses of healthcare-related concerns. It requires the views of patients into consideration to devise strategies and improvements that may resolve their concerns directly. Sentiment analysis is seen to considerable success for commercial goods and is applied to other fields of use. Sentiment research included in numerous methods, including evaluations of goods and services. In health care too, there are vast volumes of knowledge regarding health care that can be accessed electronically, such as personal journals, social media, and on the medical condition rating pages. Analyzes of emotions provide a range of advantages, such as the strongest outcome to enhance standards of treatment through diagnostic knowledge. In the aspect of a healthcare study, the health facilities and therapies are not only prescribed but are often distinguished by their strong characteristics. Machine learning methods are used in evaluating and ultimately producing an effective and correct judgment to millions of analysis papers. The techniques under surveillance are extremely effective, but cannot be applied to unknown places, while unattended techniques are poor. More analysis is required to increase the precision of the unattended strategies so in this time of the knowledge flood they are more realistic. This presents a fundamental thesis that actually gives a short analysis of the sector, the research context and relevant problems/challenges and also dealt with the various challenges in the field with possible solutions to identified problems.

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Author information

Authors and Affiliations

  1. Noida International University, Noida, India

    Saroj Kushwah & Bharti Kalra

  2. Department of Computer Science, Indira Gandhi National Tribal University-RCM, Imphal, India

    Sanjoy Das

Authors
  1. Saroj Kushwah
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  2. Bharti Kalra
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  3. Sanjoy Das
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Corresponding author

Correspondence to Saroj Kushwah .

Editor information

Editors and Affiliations

  1. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Department of Information Engineering and Mathematics, University of Siena, Siena, Italy

    Monica Bianchini

  4. Department of Computer Science and Engineering, Indira Gandhi National Tribal University, Imphal, India

    Sanjoy Das

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Kushwah, S., Kalra, B., Das, S. (2021). Sentiment Analysis of Healthcare Big Data: A Fundamental Study. In: Bansal, J.C., Paprzycki, M., Bianchini, M., Das, S. (eds) Computationally Intelligent Systems and their Applications. Studies in Computational Intelligence, vol 950. Springer, Singapore. https://doi.org/10.1007/978-981-16-0407-2_5

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