Cargando…
Sentiment Analysis on COVID-19 Twitter Data Streams Using Deep Belief Neural Networks
Social media is Internet-based by design, allowing people to share content quickly via electronic means. People can openly express their thoughts on social media sites such as Twitter, which can then be shared with other people. During the recent COVID-19 outbreak, public opinion analytics provided...
Autores principales: | Srikanth, Jatla, Damodaram, Avula, Teekaraman, Yuvaraja, Kuppusamy, Ramya, Thelkar, Amruth Ramesh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077450/ https://www.ncbi.nlm.nih.gov/pubmed/35535182 http://dx.doi.org/10.1155/2022/8898100 |
Ejemplares similares
-
Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection
por: Krishnaraj, N., et al.
Publicado: (2022) -
Implementation of a Heart Disease Risk Prediction Model Using Machine Learning
por: Karthick, K., et al.
Publicado: (2022) -
Cybercrime: Identification and Prediction Using Machine Learning Techniques
por: Veena, K., et al.
Publicado: (2022) -
Retracted: Sentiment Analysis on COVID-19 Twitter Data Streams Using Deep Belief Neural Networks
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
A Deep Learning Approach for Recognizing the Cursive Tamil Characters in Palm Leaf Manuscripts
por: Devi S, Gayathri, et al.
Publicado: (2022)