---
title: "Who cites Samhaa R. El-Beltagy — 37 papers of our library"
description: "37 papers of the Elamur Research library cite the works of Samhaa R. El-Beltagy, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/samhaa-r-el-beltagy/cited-by/"
---
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# Who cites Samhaa R. El-Beltagy

37 citations of their works from 37 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · [← Samhaa R. El-Beltagy](https://md.research.elamur.ai/free/en/authors/samhaa-r-el-beltagy/)

1. **[SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations*
2. [**A review of sentiment analysis research in Arabic language arXiv:2005.12240**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
3. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations*
4. **[Mazajak: An Online Arabic Sentiment Analyser](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Walid Magdy*2019 · 197 citations*
5. **[Arabic Offensive Language on Twitter: Analysis and Experiments](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.*2021 · 165 citations*
6. **[SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases](https://md.research.elamur.ai/free/en/papers/kiritchenko-2016-semeval-2016-task-7-determining/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh*2016 · 135 citations*
7. **[From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset](https://md.research.elamur.ai/free/en/papers/farha-2020-arabic-sentiment-analysis-sarcasm-detection/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations*
8. **[Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy*2021 · 112 citations*
9. **[Overview of OSACT4 Arabic Offensive Language Detection Shared Task](https://md.research.elamur.ai/free/en/papers/mubarak-2020-overview-osact4-arabic-offensive-language/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Hamdy Mubarak, Kareem Darwish, Walid Magdy, et al.*2020 · 109 citations*
10. **[NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/beltagy-2017-niletmrg-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Samhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman*2017 · 61 citations*
11. **[Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.*2021 · 41 citations*
12. **[Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets](https://md.research.elamur.ai/free/en/papers/mulki-2017-tw-star-semeval-2017-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2017 · 25 citations*
13. **[Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Fatemah Husain, Ozlem Uzuner*2021 · 19 citations*
14. **[Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons](https://md.research.elamur.ai/free/en/papers/hakami-2021-arabic-emoji-sentiment-lexicon-arab/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2021 · 18 citations*
15. **[Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/mulki-2019-syntax-ignorant-n-gram-embeddings/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2019 · 13 citations*
16. **[Modern Trends in Arabic Sentiment Analysis: A Survey](https://md.research.elamur.ai/free/en/papers/mulki-2017-modern-trends-arabic-sentiment-analysis/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Hala Mulki, Hatem Haddad, Ismail Babaoğlu*2017 · 12 citations*
17. **[NileTMRG at SemEval-2016 Task 7: Deriving Prior Polarities for Arabic Sentiment Terms](https://md.research.elamur.ai/free/en/papers/beltagy-2016-niletmrg-semeval-2016-task-7/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Samhaa R. El-Beltagy*2016 · 12 citations*
18. **[Using objective words in the reviews to improve the colloquial arabic sentiment analysis](https://md.research.elamur.ai/free/en/papers/al-harbi-2017-using-objective-words-reviews-improve/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**Omar Al-Harbi*2017 · 8 citations*
19. **[A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT](https://md.research.elamur.ai/free/en/papers/saadany-2022-semi-supervised-approach-better-translation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hadeel Saadany, Constantin Orăsan, Emad Mohamed, et al.*2022 · 7 citations*
20. **[Evaluating RAG Pipelines for Arabic Lexical Information Retrieval: A Comparative Study of Embedding and Generation Models](https://md.research.elamur.ai/free/en/papers/rasheed-2025-evaluating-rag-pipelines-arabic-lexical/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Raghad Al-Rasheed, Abdullah Al Muaddi, Hawra Aljasim, et al.*2025 · 6 citations*
21. **[Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.*2021 · 6 citations*
22. **[LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones](https://md.research.elamur.ai/free/en/papers/keleg-2025-llm-alignment-arabs-homogenous-culture/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Amr Keleg*2025 · 5 citations*
23. **[ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects](https://md.research.elamur.ai/free/en/papers/guellil-2021-one-one-model-one-algorithm/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Imane Guellil, Faical Azouaou, Fodil Benali, et al.*2021 · 5 citations*
24. [**Ensemble of pre-trained language models and data augmentation for hate speech detection from Arabic tweets arXiv:2407.02448**Kheir Eddine Daouadi, Yaakoub Boualleg, Kheir Eddine Haouaouchi*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/daouadi-2024-ensemble-pre-trained-language-models/)
25. **[Transformer Tafsir at QIAS 2025 Shared Task: Hybrid Retrieval-Augmented Generation for Islamic Knowledge Question Answering](https://md.research.elamur.ai/free/en/papers/ahmad-2025-transformer-tafsir-qias-2025-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abu Ahmad, Mohamad Ballout, Raia Abu Ahmad, et al.*2025 · 3 citations*
26. [**Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components arXiv:2506.06339**Jumana Alsubhi, Mohammad D. Alahmadi, Ahmed Alhusayni, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alsubhi-2025-optimizing-rag-pipelines-arabic-systematic/)
27. **[CUET_sstm at ArAIEval Shared Task: Unimodal (Text) Propagandistic Technique Detection Using Transformer-Based Model](https://md.research.elamur.ai/free/en/papers/labib-2024-cuet-sstm-araieval-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Momtazul Labib, Samia Rahman, Hasan Murad, et al.*2024 · 2 citations*
28. **[Mela at ArAIEval Shared Task: Propagandistic Techniques Detection in Arabic with a Multilingual Approach](https://md.research.elamur.ai/free/en/papers/riyadh-2024-mela-araieval-shared-task-propagandistic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md Abdur Razzaq Riyadh, Sara Nabhani*2024 · 2 citations*
29. **[GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-arabic-hate-speech-2022/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed, Ali Ashraf*2022 · 2 citations*
30. [**The Hrunting of AI: Where and How to Improve English Dialectal Fairness arXiv:2603.15187**Wei Li, Adrian de Wynter*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/li-2026-hrunting-ai-where-improve-english/)
31. **[Integrating Argumentation Features for Enhanced Propaganda Detection in Arabic Narratives on the Israeli War on Gaza](https://md.research.elamur.ai/free/en/papers/nabhani-2025-integrating-argumentation-features-enhanced-propaganda/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Sara Nabhani, Claudia Borg, Kurt Micallef, et al.*2025 · 1 citation*
32. [**Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning arXiv:2507.23661**Salam Thabet Doghmash, Motaz Saad*2025*](https://md.research.elamur.ai/free/en/papers/doghmash-2025-arabic-hate-speech-identification-masking/)

5 more citing papers of our library have no page here yet.

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