Cargando…
Public Attitudes During the Second Lockdown: Sentiment and Topic Analyses Using Tweets From Ontario, Canada
Objective: This study aimed to explore topics and sentiments using tweets from Ontario, Canada, during the second wave of the COVID-19 pandemic. Methods: Tweets were collected from December 5, 2020, to March 6, 2021, excluding non-individual accounts. Dates of vaccine-related events and policy chang...
Autores principales: | Tsao, Shu-Feng, MacLean, Alexander, Chen, Helen, Li, Lianghua, Yang, Yang, Butt, Zahid Ahmad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900133/ https://www.ncbi.nlm.nih.gov/pubmed/35264920 http://dx.doi.org/10.3389/ijph.2022.1604658 |
Ejemplares similares
-
Topic Modelling and Sentiment Analysis of Tweets Related to Freedom Convoy 2022 in Canada
por: Huang, Shih-Hsio, et al.
Publicado: (2022) -
The Painful Tweet: Text, Sentiment, and Community Structure Analyses of Tweets Pertaining to Pain
por: Tighe, Patrick J, et al.
Publicado: (2015) -
Making sense of tweets using sentiment analysis on closely related topics
por: Bhatnagar, Sarvesh, et al.
Publicado: (2021) -
Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis
por: Jang, Hyeju, et al.
Publicado: (2022) -
Evolution of COVID-19 tweets about Southeast Asian Countries: topic modelling and sentiment analyses
por: Mathayomchan, Boonyanit, et al.
Publicado: (2022)