# Classification of Spam Content in Turkish Short Messages Using Transformer-Based Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/classification-of-spam-content-in-turkish-short-messages-using-transformer-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Buğra Kıvrak,Mehmet Arzu,Mahmut Kaya,Murat Aydoğan,Yunus Santur |
| Citations | 0 |
| DOI | 10.62520/fujece.1892277 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://dergipark.org.tr/en/download/article-file/5732579 |
| OpenAlex ID | https://openalex.org/W7166346756 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Mehmet Arzu](https://scholariq.org/researchers/mehmet-arzu/)

## Paper journal

- [Firat University Journal of Experimental and Computational Engineering](https://scholariq.org/journals/firat-university-journal-of-experimental-and-computational-engineering/)

## Paper primary topic

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

## Paper topics

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.