An ensemble transformer-based model for Arabic sentiment analysis
Bibliographic Data
| ID | 4619767 |
|---|---|
| Authors | Omar Mohamed (0000-0003-1302-7301, Helwan University), Aly M Kassem (University of Windsor, corresponding author), Ali Ashraf (0009-0005-9508-0078, Helwan University), Salma Jamal (Nile University), Ensaf Hussein Mohamed (0000-0002-1615-0236, Helwan University) |
| Year | 2022 |
| Volume | 13 |
| Issue | 1 |
| Publication date | 2022-12-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-022-01009-0 |
| OpenAlex | W4312205190 |
| Language | EN |
| Citations received | 1 |
| References cited | 55 |
Arabic · Deep learning · Encoder · Generative grammar · Language model · Linguistics · Machine learning · Natural language processing · SemEval · Sentiment analysis · Transformer · Computer Science · Natural Language Processing Techniques · Sentiment Analysis and Opinion Mining · Topic Modeling · Artificial Intelligence
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |