Cargando…
Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic
PURPOSE: The purpose of this study was to develop an automated process to analyze multimedia content on Twitter during the COVID-19 outbreak and classify content for radiological significance using deep learning (DL). MATERIALS AND METHODS: Using Twitter search features, all tweets containing keywor...
Autores principales: | Khurana, Shikhar, Chopra, Rohan, Khurana, Bharti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811945/ https://www.ncbi.nlm.nih.gov/pubmed/33459907 http://dx.doi.org/10.1007/s10140-020-01885-z |
Ejemplares similares
-
Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
por: Gabarron, Elia, et al.
Publicado: (2022) -
Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL’s Official Twitter Timeline and Social Media Content About JUUL
por: Valdez, Danny, et al.
Publicado: (2021) -
Understanding the Consumption of Antimicrobial Resistance–Related Content on Social Media: Twitter Analysis
por: Kim, Hyunuk, et al.
Publicado: (2023) -
Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes
por: Ricard, Benjamin Joseph, et al.
Publicado: (2021) -
Social media content analysis on twitter to explore public perceptions regarding pathological social withdrawal (hikikomori)
por: Pereira-Sanchez, V., et al.
Publicado: (2021)