# Detection and classification of social media-based extremist affiliations using sentiment analysis techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-and-classification-of-social-media-based-extremist-affiliations-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shakeel Ahmad,Muhammad Zubair Asghar,Fahad Alotaibi,Irfan‐Ullah Awan |
| Citations | 169 |
| DOI | 10.1186/s13673-019-0185-6 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://hcis-journal.springeropen.com/track/pdf/10.1186/s13673-019-0185-6 |
| OpenAlex ID | https://openalex.org/W2954278817 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Muhammad Zubair Asghar](https://scholariq.org/researchers/muhammad-zubair-asghar/)

## Paper primary topic

- [Hate Speech and Cyberbullying Detection](https://scholariq.org/topics/hate-speech-and-cyberbullying-detection/)

## Paper topics

- [Hate Speech and Cyberbullying Detection](https://scholariq.org/topics/hate-speech-and-cyberbullying-detection/)
- [Terrorism, Counterterrorism, and Political Violence](https://scholariq.org/topics/terrorism-counterterrorism-and-political-violence/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

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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.