Sentiment Analysis of Healthcare Big Data: A Fundamental Study

Kushwah, Saroj; Kalra, Bharti; Das, Sanjoy

doi:10.1007/978-981-16-0407-2_5

Cited by 2 publications

(2 citation statements)

References 43 publications

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“…Machine learning not only influences the social media market but, simultaneously, it is highly capable of tracking the so-called unpredictable real-time matrices of growth, needs, results, and features. Machine learning is one of the most powerful tools to control the human mind s transition through machine interpretation [1,2]. Individuals as well as sets of individuals using social media platforms are targeted by business media, multistoried companies, product sellers, and influencers.…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques

et al. 2023

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Competitive intelligence in social media analytics has significantly influenced behavioral finance worldwide in recent years; it is continuously emerging with a high growth rate of unpredicted variables per week. Several surveys in this large field have proved how social media involvement has made a trackless network using machine learning techniques through web applications and Android modes using interoperability. This article proposes an improved social media sentiment analytics technique to predict the individual state of mind of social media users and the ability of users to resist profound effects. The proposed estimation function tracks the counts of the aversion and satisfaction levels of each inter- and intra-linked expression. It tracks down more than one ontologically linked activity from different social media platforms with a high average success rate of 99.71%. The accuracy of the proposed solution is 97% satisfactory, which could be effectively considered in various industrial solutions such as emo-robot building, patient analysis and activity tracking, elderly care, and so on.

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Section: Introductionmentioning

confidence: 99%

Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques

et al. 2023

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“…In healthcare, for example, sentiment analysis classifies patient comments and quantifies the performance of the employees. This sentiment analysis extends to medical sentiment analysis to provide professionals with an automated support system, determine patients ‘concerns, or analyze patients’ emotions (Kushwah et al 2021 ). Birjali et al ( 2021 ) performed a comprehensive survey on sentiment analysis, which discussed traditional and recent approaches, challenges, and future trends.…”

Section: Introductionmentioning

confidence: 99%

Sentiment analysis tracking of COVID-19 vaccine through tweets

Sarirete

2022

J Ambient Intell Human Comput

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Recent studies on the COVID-19 pandemic indicated an increase in the level of anxiety, stress, and depression among people of all ages. The World Health Organization (WHO) recently warned that even with the approval of vaccines by the Food and Drug Administration (FDA), population immunity is highly unlikely to be achieved this year. This paper aims to analyze people's sentiments during the pandemic by combining sentiment analysis and natural language processing algorithms to classify texts and extract the polarity, emotion, or consensus on COVID-19 vaccines based on tweets. The method used is based on the collection of tweets under the hashtag #COVIDVaccine while the nltk toolkit parses the texts, and the tf-idf algorithm generates the keywords. Both n-gram keywords and hashtags mentioned in the tweets are collected and counted. The results indicate that the sentiments are divided into positive and negative emotions, with the negative ones dominating.

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Sentiment Analysis of Healthcare Big Data: A Fundamental Study

Cited by 2 publications

References 43 publications

Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques

Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques

Sentiment analysis tracking of COVID-19 vaccine through tweets

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