A reliable sentiment analysis for classification of tweets in social networks
Datos Bibliográficos
| ID | 4694501 |
|---|---|
| Autores | Masoud Aminimotlagh (Iran University of Science and Technology), Hadishahriar Shahhoseini (0000-0002-6042-0993, Iran University of Science and Technology, autor de correspondencia), Nina Fatehi (Wayne State University) |
| Año | 2022 |
| Volumen | 13 |
| Número | 1 |
| Páginas | 7-7 |
| Fecha de publicación | 2022-12-12 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Social Network Analysis and Mining (JOURNAL) |
| Identificadores de la revista | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-022-00998-2 |
| PMID | 36532862 |
| OpenAlex | W4311121340 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 26 |
Data mining · Data set · Decision tree · Machine learning · Naive Bayes classifier · Sentiment analysis · Support vector machine · Test set · Computer Science · Sentiment Analysis and Opinion Mining · Spam and Phishing Detection · Text and Document Classification Technologies · Artificial Intelligence
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Omlml
| Citas por año | 1,5 |
|---|---|
| Intervalo de citas | 2024 - 2025 (2) |
| Altamente citado | No |