How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain

Objective The main goal of this study is to examine how people express their opinion in medical forums. We analyze the language used in order to determine the best way to tackle sentiment analysis in this domain. Methods We have applied supervised learning and lexicon-based sentiment analysis approa...

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Authors: Jiménez Zafra, Salud María, Martín Valdivia, María Teresa, Molina González, M. Dolores, Ureña López, L. Alfonso
Format: article
Status:Versión aceptada para publicación
Publication Date:2019
Country:España
Institution:Universidad de Jaén
Repository:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/7465
Online Access:https://doi.org/10.1016/j.artmed.2018.03.007
https://www.sciencedirect.com/science/article/pii/S0933365717305407
https://hdl.handle.net/10953/7465
Access Level:Open access
Keyword:Spanish corpus
Patient opinions
Medical domain
Sentiment analysis
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oai_identifier_str oai:ruja.ujaen.es:10953/7465
network_acronym_str ES
network_name_str España
repository_id_str
spelling How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domainJiménez Zafra, Salud MaríaMartín Valdivia, María TeresaMolina González, M. DoloresUreña López, L. AlfonsoSpanish corpusPatient opinionsMedical domainSentiment analysis004004.6004.8004.916181Objective The main goal of this study is to examine how people express their opinion in medical forums. We analyze the language used in order to determine the best way to tackle sentiment analysis in this domain. Methods We have applied supervised learning and lexicon-based sentiment analysis approaches over two different corpora extracted from social web. Specifically, we have focused on two aspects: drugs and doctors. We have selected two forums and we have collected corpora for each one: (i) DOS, a Spanish corpus of drug reviews and (ii) COPOS, a Spanish corpus of patients’ opinions about physicians. Results The classification results show that drug reviews are more difficult to classify than those about physicians. In order to understand the difference in the results, we have studied the linguistic features of both corpora. Conclusions Although opinions about physicians and drugs are written in most cases by non-professional users, reviews about physicians are characterized by the use of an informal language while reviews about drugs are characterized by a combination of informal language with specific terminology (e.g. adverse effects, drug names) with greater lexical diversity, making the task of sentiment analysis difficult.Elsevier202620262019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.artmed.2018.03.007https://www.sciencedirect.com/science/article/pii/S0933365717305407https://hdl.handle.net/10953/7465reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésArtificial Intelligence in MedicineAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/74652026-06-24T12:41:07Z
dc.title.none.fl_str_mv How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
title How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
spellingShingle How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
Jiménez Zafra, Salud María
Spanish corpus
Patient opinions
Medical domain
Sentiment analysis
004
004.6
004.8
004.91
61
81
title_short How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
title_full How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
title_fullStr How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
title_full_unstemmed How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
title_sort How do we talk about doctors and drugs? Sentiment Analysis in forums expressing opinions for medical domain
dc.creator.none.fl_str_mv Jiménez Zafra, Salud María
Martín Valdivia, María Teresa
Molina González, M. Dolores
Ureña López, L. Alfonso
author Jiménez Zafra, Salud María
author_facet Jiménez Zafra, Salud María
Martín Valdivia, María Teresa
Molina González, M. Dolores
Ureña López, L. Alfonso
author_role author
author2 Martín Valdivia, María Teresa
Molina González, M. Dolores
Ureña López, L. Alfonso
author2_role author
author
author
dc.subject.none.fl_str_mv Spanish corpus
Patient opinions
Medical domain
Sentiment analysis
004
004.6
004.8
004.91
61
81
topic Spanish corpus
Patient opinions
Medical domain
Sentiment analysis
004
004.6
004.8
004.91
61
81
description Objective The main goal of this study is to examine how people express their opinion in medical forums. We analyze the language used in order to determine the best way to tackle sentiment analysis in this domain. Methods We have applied supervised learning and lexicon-based sentiment analysis approaches over two different corpora extracted from social web. Specifically, we have focused on two aspects: drugs and doctors. We have selected two forums and we have collected corpora for each one: (i) DOS, a Spanish corpus of drug reviews and (ii) COPOS, a Spanish corpus of patients’ opinions about physicians. Results The classification results show that drug reviews are more difficult to classify than those about physicians. In order to understand the difference in the results, we have studied the linguistic features of both corpora. Conclusions Although opinions about physicians and drugs are written in most cases by non-professional users, reviews about physicians are characterized by the use of an informal language while reviews about drugs are characterized by a combination of informal language with specific terminology (e.g. adverse effects, drug names) with greater lexical diversity, making the task of sentiment analysis difficult.
publishDate 2019
dc.date.none.fl_str_mv 2019
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.artmed.2018.03.007
https://www.sciencedirect.com/science/article/pii/S0933365717305407
https://hdl.handle.net/10953/7465
url https://doi.org/10.1016/j.artmed.2018.03.007
https://www.sciencedirect.com/science/article/pii/S0933365717305407
https://hdl.handle.net/10953/7465
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Artificial Intelligence in Medicine
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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