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Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery

BACKGROUND: Sentiment analysis, which is also referred to as ‘opinion mining’ or ‘emotion AI’, processes natural language, analyzes text and employs computational linguistics, and biometrics to identify and analyze emotions and subjective information. Sentiment analysis is mostly applied in domains...

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Autores principales: Barbounaki, Stavroula G., Gourounti, Kleanthi, Sarantaki, Antigoni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AVICENA, d.o.o., Sarajevo 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563056/
https://www.ncbi.nlm.nih.gov/pubmed/34759782
http://dx.doi.org/10.5455/msm.2021.33.225-230
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author Barbounaki, Stavroula G.
Gourounti, Kleanthi
Sarantaki, Antigoni
author_facet Barbounaki, Stavroula G.
Gourounti, Kleanthi
Sarantaki, Antigoni
author_sort Barbounaki, Stavroula G.
collection PubMed
description BACKGROUND: Sentiment analysis, which is also referred to as ‘opinion mining’ or ‘emotion AI’, processes natural language, analyzes text and employs computational linguistics, and biometrics to identify and analyze emotions and subjective information. Sentiment analysis is mostly applied in domains such as marketing and customer service but also in clinical medicine. Clinical medicine- related sentiment analysis has advanced recently, as more and more researchers are performing studies with the help of this valuable technique, having noticed its ability to contribute in the field. OBJECTIVE: The aim of this review was to present important facts about sentimental analysis described in deposited articles in on-line databases and the relevant articles critically appraised and a narrative synthesis conducted. METHODS: A systematic search of four electronic databases (PubMed, APA PsycINFO, SCOPUS, ScienceDirect) was performed. This review considered only quantitative, primary studies in English language, without geographical limitations, published from 2006-2021 and relevant to the objective. Searching terms were ‘Sentiment analysis’ AND ‘Obstetrics’ OR ‘pregnancy’, OR ‘COVID’ OR ‘Perinatal distress’ OR ‘postpartum period’ OR ‘fetal’ OR ‘breast feeding’ OR ‘cervical’. RESULTS AND DISCUSSION: Relevant articles were critically appraised and a narrative synthesis was conducted. As a large number of studies, illustrates the use of sentiment analysis in the domain of clinical medicine, it is proved to be extremely helpful, assisting in the investigation of some highly important and even previously unexplored issues. CONCLUSION: Since pregnant women express their thoughts and feelings more openly than ever before, sentiment analysis is becoming an essential tool to monitor and understand that sentiment. Given the vast knowledge sentiment analysis has already offered, further studies employing this technique are expected in the future.
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spelling pubmed-85630562021-11-09 Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery Barbounaki, Stavroula G. Gourounti, Kleanthi Sarantaki, Antigoni Mater Sociomed Review BACKGROUND: Sentiment analysis, which is also referred to as ‘opinion mining’ or ‘emotion AI’, processes natural language, analyzes text and employs computational linguistics, and biometrics to identify and analyze emotions and subjective information. Sentiment analysis is mostly applied in domains such as marketing and customer service but also in clinical medicine. Clinical medicine- related sentiment analysis has advanced recently, as more and more researchers are performing studies with the help of this valuable technique, having noticed its ability to contribute in the field. OBJECTIVE: The aim of this review was to present important facts about sentimental analysis described in deposited articles in on-line databases and the relevant articles critically appraised and a narrative synthesis conducted. METHODS: A systematic search of four electronic databases (PubMed, APA PsycINFO, SCOPUS, ScienceDirect) was performed. This review considered only quantitative, primary studies in English language, without geographical limitations, published from 2006-2021 and relevant to the objective. Searching terms were ‘Sentiment analysis’ AND ‘Obstetrics’ OR ‘pregnancy’, OR ‘COVID’ OR ‘Perinatal distress’ OR ‘postpartum period’ OR ‘fetal’ OR ‘breast feeding’ OR ‘cervical’. RESULTS AND DISCUSSION: Relevant articles were critically appraised and a narrative synthesis was conducted. As a large number of studies, illustrates the use of sentiment analysis in the domain of clinical medicine, it is proved to be extremely helpful, assisting in the investigation of some highly important and even previously unexplored issues. CONCLUSION: Since pregnant women express their thoughts and feelings more openly than ever before, sentiment analysis is becoming an essential tool to monitor and understand that sentiment. Given the vast knowledge sentiment analysis has already offered, further studies employing this technique are expected in the future. AVICENA, d.o.o., Sarajevo 2021-09 /pmc/articles/PMC8563056/ /pubmed/34759782 http://dx.doi.org/10.5455/msm.2021.33.225-230 Text en © 2021 Stavroula G. Barbounaki, Kleanthi Gourounti, Antigoni Sarantaki https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Barbounaki, Stavroula G.
Gourounti, Kleanthi
Sarantaki, Antigoni
Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery
title Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery
title_full Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery
title_fullStr Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery
title_full_unstemmed Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery
title_short Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery
title_sort advances of sentiment analysis applications in obstetrics/gynecology and midwifery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563056/
https://www.ncbi.nlm.nih.gov/pubmed/34759782
http://dx.doi.org/10.5455/msm.2021.33.225-230
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