Cargando…
Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic
In this study, public opinion and emotions regarding different stages of the Covid-19 pandemic from the outbreak of the disease to the distribution of vaccines were analyzed to predict the popularity of tweets. More than 1.25 million English tweets were collected, posted from January 20, 2020, to Ma...
Autor principal: | Mahdikhani, Maryam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author. Published by Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677469/ http://dx.doi.org/10.1016/j.jjimei.2021.100053 |
Ejemplares similares
-
Public opinion monitoring through collective semantic analysis of tweets
por: Karamouzas, Dionysios, et al.
Publicado: (2022) -
The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement
Publicado: (2021) -
Sentiment and emotion trends in nurses' tweets about the COVID‐19 pandemic
por: Xavier, Teenu, et al.
Publicado: (2022) -
COVID-19 analytics: Towards the effect of vaccine brands through analyzing public sentiment of tweets
por: Shahriar, Khandaker Tayef, et al.
Publicado: (2022) -
Research on the Prediction of Popularity of News Dissemination Public Opinion Based on Data Mining
por: Tian, Jing, et al.
Publicado: (2022)