Cargando…
Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets
BACKGROUND: Publicly available fitness tweets may provide useful and in-depth insights into the real-time sentiment of a person’s physical activity and provide motivation to others through online influence. OBJECTIVE: The goal of this experimental approach using the fitness Twitter dataset is two-fo...
Autores principales: | Vickey, Theodore, Breslin, John G |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686415/ https://www.ncbi.nlm.nih.gov/pubmed/29089294 http://dx.doi.org/10.2196/publichealth.8507 |
Ejemplares similares
-
The Painful Tweet: Text, Sentiment, and Community Structure Analyses of Tweets Pertaining to Pain
por: Tighe, Patrick J, et al.
Publicado: (2015) -
RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian
por: Smetanin, Sergey
Publicado: (2022) -
A BERT Framework to Sentiment Analysis of Tweets
por: Bello, Abayomi, et al.
Publicado: (2023) -
Sentimental study of CAA by location-based tweets
por: Vashisht, Geetika, et al.
Publicado: (2021) -
Data on sentiments and emotions of olympic-themed tweets
por: Vertalka, Joshua J., et al.
Publicado: (2019)