---
title: "Who cites Eshrag Refaee — 43 papers of our library"
description: "43 papers of the Elamur Research library cite the works of Eshrag Refaee, found in their bibliographies; the most cited first."
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---
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# Who cites Eshrag Refaee

48 citations of their works from 43 papers of our library (of the 149,439 whose bibliographies we read) · 38 with a page here, the most cited first · [← Eshrag Refaee](https://md.research.elamur.ai/free/en/authors/eshrag-refaee/)

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. **[ASTD: Arabic Sentiment Tweets Dataset](https://md.research.elamur.ai/free/en/papers/nabil-2015-astd-arabic-sentiment-tweets-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mahmoud Nabil, Mohamed Aly, Amir Atiya*2015 · 470 citations*
3. [**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/)
4. **[Sentiment after Translation: A Case-Study on Arabic Social Media Posts](https://md.research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mohammad Salameh, Saif Mohammad, Svetlana Kiritchenko*2015 · 189 citations*
5. **[Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Abdelghani Dahou, Shengwu Xiong, Junwei Zhou, et al.*2016 · 177 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. **[NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.*2022 · 127 citations*
9. **[Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic](https://md.research.elamur.ai/free/en/papers/alam-2022-overview-wanlp-2022-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, et al.*2022 · 119 citations*
10. **[Sentiment Analysis For Modern Standard Arabic And Colloquial](https://md.research.elamur.ai/free/en/papers/ibrahim-2015-sentiment-analysis-modern-standard-arabic/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith*2015 · 115 citations*
11. **[Sentiment Lexicons for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif Mohammad, Mohammad Salameh, Svetlana Kiritchenko*2016 · 83 citations*
12. **[AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons](https://md.research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nora Al-Twairesh, Hend Al-Khalifa, Abdulmalik Al-Salman*2016 · 77 citations*
13. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
14. **[Enabling Deep Learning of Emotion With First-Person Seed Expressions](https://md.research.elamur.ai/free/en/papers/alhuzali-2018-enabling-deep-learning-emotion-first/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle Ungar*2018 · 41 citations*
15. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset arXiv:2011.00578**Basma Alharbi, Hind Alamro, Manal Alshehri, et al.*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)
16. **[An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training](https://md.research.elamur.ai/free/en/papers/kwaik-2020-arabic-tweets-sentiment-analysis-dataset/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik, et al.*2020 · 38 citations*
17. **[Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/ibrahim-2015-idioms-proverbs-lexicon-modern-standard/) [International Journal of Computer Applications](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-applications/)**Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith*2015 · 33 citations*
18. **[iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases](https://md.research.elamur.ai/free/en/papers/refaee-2016-ilab-edinburgh-semeval-2016-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Eshrag Refaee, Verena Rieser*2016 · 32 citations*
19. **[Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets](https://md.research.elamur.ai/free/en/papers/refaee-2015-benchmarking-machine-translated-sentiment-analysis/) [Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop](https://md.research.elamur.ai/free/en/venues/conference-of-the-north-american-chapter-of-the-association-for-computational/)**Eshrag Refaee, Verena Rieser*2015 · 31 citations*
20. **[Evaluating ChatGPT and Bard AI on Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/thubaity-2023-evaluating-chatgpt-bard-ai-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.*2023 · 27 citations*
21. **[Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds](https://md.research.elamur.ai/free/en/papers/refaee-2014-evaluating-distant-supervision-subjectivity-sentiment/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Eshrag Refaee, Verena Rieser*2014 · 27 citations*
22. **[POS Tagging for Arabic Tweets](https://md.research.elamur.ai/free/en/papers/albogamy-2015-pos-tagging-arabic-tweets/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Fahad Albogamy, Allan Ramsay*2015 · 26 citations*
23. **[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*
24. [**A System for Extracting Sentiment from Large-Scale Arabic Social Data arXiv:1511.04661**Hao Wang, Vijay R. Bommireddipalli, Ayman Hanafy, et al.*2015 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-system-extracting-sentiment-large-scale/)
25. **[Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping](https://md.research.elamur.ai/free/en/papers/albogamy-2016-fast-robust-pos-tagger-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fahad Albogamy, Allan Ramsay*2016 · 11 citations*
26. **[Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic](https://md.research.elamur.ai/free/en/papers/belbachir-2023-foul-semeval-2023-task-12/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Faiza Belbachir*2023 · 8 citations*
27. **[Metaphorical Expressions in Automatic Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alsiyat-2020-metaphorical-expressions-automatic-arabic-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Israa Alsiyat, Scott Piao*2020 · 8 citations*
28. **[ThatiAR: Subjectivity Detection in Arabic News Sentences](https://md.research.elamur.ai/free/en/papers/suwaileh-2024-thatiar-subjectivity-detection-arabic-news/) [Proceedings of the International AAAI Conference on Web and Social Media](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-international-aaai-conference-on-web-and-social-media/)**Reem Suwaileh, Maram Hasanain, Fatema Hubail, et al.*2024 · 7 citations*
29. **[Towards POS Tagging for Arabic Tweets](https://md.research.elamur.ai/free/en/papers/albogamy-2015-pos-tagging-arabic-tweets-w15-4325/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Fahad Albogamy, Allan Ramasy*2015 · 7 citations*
30. **[Revisiting Common Assumptions about Arabic Dialects in NLP](https://md.research.elamur.ai/free/en/papers/keleg-2025-revisiting-common-assumptions-about-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Sharon Goldwater, Walid Magdy*2025 · 6 citations*
31. **[Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/hannani-2024-assessing-performance-chatgpt-4-fine/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Mohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven*2024 · 6 citations*
32. **[Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets](https://md.research.elamur.ai/free/en/papers/meisheri-2017-textmining-emoint-2017-deep-learning/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Hardik Meisheri, Rupsa Saha, Priyanka Sinha, et al.*2017 · 5 citations*
33. **[Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network](https://md.research.elamur.ai/free/en/papers/fang-2024-advancing-arabic-sentiment-analysis-arsen/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Yang Fang, Cheng Xu, Shuhao Guan, et al.*2024 · 4 citations*
34. **[SentiArabic: A Sentiment Analyzer for Standard Arabic](https://md.research.elamur.ai/free/en/papers/eskander-2018-sentiarabic-sentiment-analyzer-standard-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ramy Eskander*2018 · 4 citations*
35. **[MODOS at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Weighted SAM, CLIP and ArabianGPT](https://md.research.elamur.ai/free/en/papers/haouhat-2024-modos-araieval-shared-task-multimodal/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdelhamid Haouhat, Hadda Cherroun, Slimane Bellaouar, et al.*2024 · 3 citations*
36. **[ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/nagoudi-2018-arb-sen-semeval-2018-task1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**El Moatez Billah Nagoudi*2018 · 3 citations*
37. **[Des représentations continues de mots pour l'analyse d'opinions en arabe: une étude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)](https://md.research.elamur.ai/free/en/papers/barhoumi-2018-des-representations-continues-de-mots/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Amira Barhoumi, Nathalie Camelin, Yannick Estève*2018 · 2 citations*
38. [**Sentiment Analysis in Poems in Misurata Sub-dialect — A Sentiment Detection in an Arabic Sub-dialect arXiv:2109.07203**Azza Abugharsa*2021*](https://md.research.elamur.ai/free/en/papers/abugharsa-2021-sentiment-analysis-poems-misurata-sub/)

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

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