---
title: "Who cites A Comprehensive Survey of — 6 citing papers"
description: "6 papers of the Elamur Research library cite «A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges…"
canonical: "https://research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/cited-by/"
---
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# Who cites «A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions»](https://md.research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/)

1. **[Sentiment Analysis on Arabic Dialects: A Multi-Dialect Benchmark](https://md.research.elamur.ai/free/en/papers/nwesri-2025-sentiment-analysis-arabic-dialects-multi/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Abdusalam F. Ahmad Nwesri, Nabila Almabrouk S. Shinbir, Amani Bahlul Sharif*2025 · 4 citations*
2. [**Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges arXiv:2508.12227**Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/haouhat-2025-arabic-multimodal-machine-learning-datasets/)
3. **[TTLab at AraSentEval: SARF( صرف) Sentiment Analysis via Root-based Fusion for Multi-Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/abusaleh-2026-ttlab-arasenteval-sarf-sentiment-analysis/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Abusaleh, Bhuvanesh Verma, Alexander Mehler*2026*
4. [**Why Current XAI Is Not Enough for Arabic NLP: A Critical Survey of the Explainability Gap arXiv:2608.26144**Salima Lamsiyah, Ruslan Mitkov*2026*](https://md.research.elamur.ai/free/en/papers/lamsiyah-2026-why-current-xai-enough-arabic/)

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/) — A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions
