Cargando…
Intelligent lead-based bidirectional long short term memory for COVID-19 sentiment analysis
Social media is an online platform with millions of users and is utilized to spread news, information, world events, discuss ideas, etc. During the COVID-19 pandemic, information and ideas are shared by users both officially and by citizens. Here, the detection of useful content from social media is...
Autores principales: | Kumari, Santoshi, Pushphavathi, T. P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734439/ https://www.ncbi.nlm.nih.gov/pubmed/36532863 http://dx.doi.org/10.1007/s13278-022-01005-4 |
Ejemplares similares
-
Efficient Long Short-Term Memory-Based Sentiment Analysis of E-Commerce Reviews
por: Gondhi, Naveen Kumar, et al.
Publicado: (2022) -
Protein remote homology detection based on bidirectional long short-term memory
por: Li, Shumin, et al.
Publicado: (2017) -
A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries
por: Aldhyani, Theyazn H. H., et al.
Publicado: (2021) -
Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
por: Cao, Pengfei, et al.
Publicado: (2019) -
Attention-based bidirectional-long short-term memory for abnormal human activity detection
por: Kumar, Manoj, et al.
Publicado: (2023)