Cristin-resultat-ID: 1816896
Sist endret: 3. desember 2020 13:58
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig artikkel
2020

Analysing Sentiment and Topics Related to Multiple Sclerosis on Twitter

Bidragsytere:
  • Guido Giunti
  • Mäelick Claes
  • Enrique Dorronzoro Zubiete
  • Octavio Rivera-Romero og
  • Elia Gabarron

Tidsskrift

Studies in Health Technology and Informatics
ISSN 0926-9630
e-ISSN 1879-8365
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2020
Volum: 270
Sider: 911 - 915

Importkilder

Scopus-ID: 2-s2.0-85086912014

Beskrivelse Beskrivelse

Tittel

Analysing Sentiment and Topics Related to Multiple Sclerosis on Twitter

Sammendrag

Background and objective: Social media could be valuable tools to support people with multiple sclerosis (MS). There is little evidence on the MS-related topics that are discussed on social media, and the sentiment linked to these topics. The objective of this work is to identify the MS-related main topics discussed on Twitter, and the sentiment linked to them. Methods: Tweets dealing with MS in the English language were extracted. Latent-Dirilecht Allocation (LDA) was used to identify the main topics discussed in these tweets. Iterative inductive process was used to group the tweets into recurrent topics. The sentiment analysis of these tweets was performed using SentiStrength. Results: LDA’ identified topics were grouped into 4 categories, tweets dealing with: related chronic conditions; condition burden; disease-modifying drugs; and awareness-raising. Tweets on condition burden and related chronic conditions were the most negative (p

Bidragsytere

Guido Giunti

  • Tilknyttet:
    Forfatter
    ved Oulun yliopisto

Mäelick Claes

  • Tilknyttet:
    Forfatter
    ved Oulun yliopisto

Enrique Dorronzoro Zubiete

  • Tilknyttet:
    Forfatter
    ved Universidad de Sevilla

Octavio Rivera-Romero

  • Tilknyttet:
    Forfatter
    ved Universidad de Sevilla
Aktiv cristin-person

Elia Dolores Gabarron Hortal

Bidragsyterens navn vises på dette resultatet som Elia Gabarron
  • Tilknyttet:
    Forfatter
    ved Nasjonalt senter for e-helseforskning ved Universitetssykehuset Nord-Norge HF
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