Cargando…
Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model
Several problems remain, despite the evident advantages of sentiment analysis of public opinion represented on Twitter and Facebook. On complicated training data, hybrid approaches may reduce sentiment mistakes. This research assesses the dependability of numerous hybrid approaches on a variety of d...
Autores principales: | Ali Al-Abyadh, Mohammed Hasan, Iesa, Mohamed A. M., Hafeez Abdel Azeem, Hani Abdel, Singh, Devesh Pratap, Kumar, Pardeep, Abdulamir, Mohamed, Jalali, Asadullah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313995/ https://www.ncbi.nlm.nih.gov/pubmed/35898769 http://dx.doi.org/10.1155/2022/6595799 |
Ejemplares similares
-
Academic Achievement: Influences of University Students’ Self-Management and Perceived Self-Efficacy
por: Al-Abyadh, Mohammed Hasan Ali, et al.
Publicado: (2022) -
Exploring the sentiment of entrepreneurs on Twitter
por: Waters, James, et al.
Publicado: (2021) -
In the mood: the dynamics of collective sentiments on Twitter
por: Charlton, Nathaniel, et al.
Publicado: (2016) -
A model for the Twitter sentiment curve
por: Aletti, Giacomo, et al.
Publicado: (2021) -
Twitter Sentiment Geographical Index Dataset
por: Chai, Yuchen, et al.
Publicado: (2023)