dc.creator | Giunti, Guido | es |
dc.creator | Claes, Maëlick | es |
dc.creator | Dorronzoro Zubiete, Enrique | es |
dc.creator | Rivera Romero, Octavio | es |
dc.creator | Gabarrón, Elia | es |
dc.date.accessioned | 2021-06-28T12:49:56Z | |
dc.date.available | 2021-06-28T12:49:56Z | |
dc.date.issued | 2021-05 | |
dc.identifier.citation | Giunti, G., Claes, M.,...,Gabarrón, E. (2021). Impact of COVID-19 on Multiple Sclerosis Topic Discussion on Twitter. En Public Health and Informatics (pp. 865-869). Amsterdam (The Netherlands): IOS Press. | |
dc.identifier.isbn | 978-1-64368-184-9 | es |
dc.identifier.isbn | 978-1-64368-185-6 | es |
dc.identifier.uri | https://hdl.handle.net/11441/114906 | |
dc.description.abstract | Multiple sclerosis (MS) is one of the world’s most common
neurologic disorders. Social media have been proposed as a way to maintain and
even increase social interaction for people with MS. The objective of this work is to
identify and compare the topics on Twitter during the first wave of COVID-19
pandemic. Methods: Data was collected using the Twitter API between 9/2/2019
and 13/5/2020. SentiStrength was used to analyze data with the day that the
pandemic was declared used as a turning point. Frequency-inverse document
frequency (tf-idf) was used for each unigram and calculated the gains in tf-idf value.
A comparative analysis of the relevance of words and categories among the datasets
was performed. Results: The original dataset contained over 610k tweets, our final
dataset had 147,963 tweets. After the 10th of march some categories gained
relevance in positive tweets (“Healthcare professional”, “Chronic conditions”,
“Condition burden”), while in negative tweets “Emotional aspects” became more
relevant and “COVID-19” emerged as a new topic. Conclusions: Our work provides
insight on how COVID-19 has changed the online discourse of people with MS. | es |
dc.format | application/pdf | es |
dc.format.extent | 5 p. | es |
dc.language.iso | eng | es |
dc.publisher | IOS Press | es |
dc.relation.ispartof | Public Health and Informatics | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Multiple Sclerosis | es |
dc.subject | COVID-19 | es |
dc.subject | Social Media | es |
dc.subject | Sentiment Analysis | es |
dc.title | Impact of COVID-19 on Multiple Sclerosis Topic Discussion on Twitter | es |
dc.type | info:eu-repo/semantics/bookPart | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | https://ebooks.iospress.nl/volume/public-health-and-informatics-proceedings-of-mie-2021 | es |
dc.identifier.doi | 10.3233/SHTI210302 | es |
dc.contributor.group | Universidad de Sevilla. TIC022: Tecnologías para la Asistencia, la Integración y la Salud | es |
dc.contributor.group | Universidad de Sevilla. TIC150: Tecnología Electrónica e Informática Industrial | es |
dc.publication.initialPage | 865 | es |
dc.publication.endPage | 869 | es |
dc.relation.publicationplace | Amsterdam (The Netherlands) | es |