Deep learning approaches for Arabic sentiment analysis
Bibliographic Data
| ID | 4653382 |
|---|---|
| Authors | Ammar Mohammed (0000-0002-9390-5399, Cairo University), Rania Kora (0000-0001-5882-8984, Cairo University, corresponding author) |
| Year | 2019 |
| Volume | 9 |
| Issue | 1 |
| Pages | 52 |
| Publication date | 2019-12-01 |
| Peer Reviewed | Yes |
| 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/s13278-019-0596-4 |
| OpenAlex | W2971875451 |
| Language | EN |
| Citations received | 6 |
| References cited | 35 |
Arabic · Deep learning · Embedding · Linguistics · Natural language processing · Sentiment analysis · Social media · Word embedding · World Wide Web · Advanced Text Analysis Techniques · Computer Science · Sentiment Analysis and Opinion Mining · Topic Modeling · Artificial Intelligence
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ArAutoSenti
| Unique citing works | 6 |
|---|---|
| Citations per year | 1 |
| Citation span | 2020 - 2024 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |