Sentiment Analysis of Health Care: Review

Twitter is a microblogging service where users can send and read short messages of 140 characters called “tweets”. Many healthcare-related unstructured and free-text tweets are shared on Twitter, which is becoming a popular domain for medical research. Sentiment analysis is one of the data mining ty...

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Autores principales:	Aattouchi Issam, Elmendili Saida, Elmendili Fatna
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/24bbf0b181004463b35d9187afbdc1a5
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spelling	oai:doaj.org-article:24bbf0b181004463b35d9187afbdc1a52021-11-12T11:44:08ZSentiment Analysis of Health Care: Review2267-124210.1051/e3sconf/202131901064https://doaj.org/article/24bbf0b181004463b35d9187afbdc1a52021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01064.pdfhttps://doaj.org/toc/2267-1242Twitter is a microblogging service where users can send and read short messages of 140 characters called “tweets”. Many healthcare-related unstructured and free-text tweets are shared on Twitter, which is becoming a popular domain for medical research. Sentiment analysis is one of the data mining types that provides an estimate of the direction of personality sentiment analysis in natural language processing. By analyzing text, computational linguistics is used to infer and analyze mental knowledge of the web, social media, and related references. The data reviewed actually quantifies the attitudes or feelings of the global society towards specific goods, people, or thoughts and exposes the contextual duality of the knowledge. Sentiment analysis is used in various sectors such as health care. There is an incredible amount of healthcare information available online, such as social media, and websites focused on rating medical problems, that is not accessed in a methodical way. Sentiment analysis has many benefits, such as using medical information to achieve the best possible patient outcome and improve the quality of health care. This review paper focuses on the presented sentiment analysis methods that are used in the medical field.Aattouchi IssamElmendili SaidaElmendili FatnaEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 319, p 01064 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Aattouchi Issam Elmendili Saida Elmendili Fatna Sentiment Analysis of Health Care: Review
description	Twitter is a microblogging service where users can send and read short messages of 140 characters called “tweets”. Many healthcare-related unstructured and free-text tweets are shared on Twitter, which is becoming a popular domain for medical research. Sentiment analysis is one of the data mining types that provides an estimate of the direction of personality sentiment analysis in natural language processing. By analyzing text, computational linguistics is used to infer and analyze mental knowledge of the web, social media, and related references. The data reviewed actually quantifies the attitudes or feelings of the global society towards specific goods, people, or thoughts and exposes the contextual duality of the knowledge. Sentiment analysis is used in various sectors such as health care. There is an incredible amount of healthcare information available online, such as social media, and websites focused on rating medical problems, that is not accessed in a methodical way. Sentiment analysis has many benefits, such as using medical information to achieve the best possible patient outcome and improve the quality of health care. This review paper focuses on the presented sentiment analysis methods that are used in the medical field.
format	article
author	Aattouchi Issam Elmendili Saida Elmendili Fatna
author_facet	Aattouchi Issam Elmendili Saida Elmendili Fatna
author_sort	Aattouchi Issam
title	Sentiment Analysis of Health Care: Review
title_short	Sentiment Analysis of Health Care: Review
title_full	Sentiment Analysis of Health Care: Review
title_fullStr	Sentiment Analysis of Health Care: Review
title_full_unstemmed	Sentiment Analysis of Health Care: Review
title_sort	sentiment analysis of health care: review
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/24bbf0b181004463b35d9187afbdc1a5
work_keys_str_mv	AT aattouchiissam sentimentanalysisofhealthcarereview AT elmendilisaida sentimentanalysisofhealthcarereview AT elmendilifatna sentimentanalysisofhealthcarereview
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Sentiment Analysis of Health Care: Review

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