---
title: "Who cites Mahmoud Nabil — 91 papers of our library"
description: "91 papers of the Elamur Research library cite the works of Mahmoud Nabil, found in their bibliographies; the most cited first."
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---
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# Who cites Mahmoud Nabil

94 citations of their works from 91 papers of our library (of the 149,439 whose bibliographies we read) · 71 with a page here, the most cited first · [← Mahmoud Nabil](https://md.research.elamur.ai/free/en/authors/mahmoud-nabil/)

1. [**AraBERT: Transformer-based Model for Arabic Language Understanding arXiv:2003.00104**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,304 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/)
2. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic arXiv:2101.01785 · ACL-2021 camera ready version**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/)
3. **[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*
4. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models arXiv:2103.06678**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
5. **[CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 290 citations*
6. [**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/)
7. **[A Combined CNN and LSTM Model for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alayba-2018-combined-cnn-lstm-model-arabic/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Abdulaziz M. Alayba; Vasile Palade; Matthew England;, Rahat Iqbal*2018 · 217 citations*
8. **[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*
9. **[Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments](https://md.research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salima Medhaffar, Fethi Bougares, Yannick Estève, et al.*2017 · 179 citations*
10. **[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*
11. **[Deep Learning Models for Sentiment Analysis in Arabic](https://md.research.elamur.ai/free/en/papers/sallab-2015-deep-learning-models-sentiment-analysis/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Ahmad Al Sallab, Hazem Hajj, Gilbert Badaro, et al.*2015 · 162 citations*
12. **[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*
13. **[hULMonA: The Universal Language Model in Arabic](https://md.research.elamur.ai/free/en/papers/eljundi-2019-hulmona-universal-language-model-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Obeida ElJundi, Wissam Antoun, Nour El Droubi, et al.*2019 · 89 citations*
14. **[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*
15. **[A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models](https://md.research.elamur.ai/free/en/papers/baly-2017-characterization-study-arabic-twitter-data/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ramy Baly, Gilbert Badaro, Georges El-Khoury, et al.*2017 · 67 citations*
16. [**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/)
17. **[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*
18. **[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*
19. [**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/)
20. **[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*
21. **[Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification](https://md.research.elamur.ai/free/en/papers/refai-2022-data-augmentation-using-transformers-similarity/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Dania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman*2022 · 35 citations*
22. **[Arabizi sentiment analysis based on transliteration and automatic corpus annotation](https://md.research.elamur.ai/free/en/papers/guellil-2018-arabizi-sentiment-analysis-based-transliteration/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Imane Guellil, Ahsan Adeel, Faical Azouaou, et al.*2018 · 35 citations*
23. **[OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model](https://md.research.elamur.ai/free/en/papers/baly-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.*2017 · 33 citations*
24. [**Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach arXiv:1805.08533**Nora Al-Twairesh, Hend Al-Khalifa, AbdulMalik Alsalman, et al.*2018 · 30 citations*](https://md.research.elamur.ai/free/en/papers/al-twairesh-2018-sentiment-analysis-arabic-tweets-feature/)
25. **[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*
26. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations*
27. **[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*
28. **[AraDepSu: Detecting Depression and Suicidal Ideation in Arabic Tweets Using Transformers](https://md.research.elamur.ai/free/en/papers/hassib-2022-aradepsu-detecting-depression-suicidal-ideation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mariam Hassib, Nancy Hossam, Jolie Sameh, et al.*2022 · 24 citations*
29. [**Sentiment analysis for Arabic language: A brief survey of approaches and techniques arXiv:1809.02782**Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/alrefai-2018-sentiment-analysis-arabic-language-brief/)
30. **[Arabizi Language Models for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/baert-2020-arabizi-language-models-sentiment-analysis/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Gaétan Baert, Souhir Gahbiche, Guillaume Gadek, et al.*2020 · 21 citations*
31. **[AHaSIS: Shared Task on Sentiment Analysis for Arabic Dialects](https://md.research.elamur.ai/free/en/papers/alharbi-2025-ahasis-shared-task-sentiment-analysis/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Maram I. Alharbi, Salmane Chafik, Saad Ezzini, et al.*2025 · 15 citations*
32. **[Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic](https://md.research.elamur.ai/free/en/papers/lichouri-2021-preprocessing-solutions-detection-sarcasm-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohamed Lichouri, Mourad Abbas, Besma Benaziz, et al.*2021 · 13 citations*
33. **[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*
34. **[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*
35. **[MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs](https://md.research.elamur.ai/free/en/papers/alyafeai-2025-mole-metadata-extraction-validation-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem*2025 · 10 citations*
36. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
37. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiqiang Shi, Ruchit Agrawal*2025 · 9 citations*
38. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations*
39. **[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*
40. [**Ensemble Language Models for Multilingual Sentiment Analysis arXiv:2403.06060**Md Arid Hasan*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2024-ensemble-language-models-multilingual-sentiment/)
41. **[Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-inter/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Keleg, Walid Magdy, Sharon Goldwater*2024 · 6 citations*
42. **[Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks](https://md.research.elamur.ai/free/en/papers/yusuf-2022-arabic-dialect-identification-few-labeled/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Mahmoud Yusuf, Marwan Torki, Nagwa El-Makky*2022 · 6 citations*
43. **[Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/mulki-2019-empirical-evaluation-leveraging-named-entities/) [The International Arab Journal of Information Technology](https://md.research.elamur.ai/free/en/venues/the-international-arab-journal-of-information-technology/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2019 · 6 citations*
44. **[Subjective Sentiment Analysis for Arabic Newswire Comments](https://md.research.elamur.ai/free/en/papers/bessou-2019-subjective-sentiment-analysis-arabic-newswire/) [Journal of Digital Information Management](https://md.research.elamur.ai/free/en/venues/journal-of-digital-information-management/)**Sadik Bessou, Rania Aberkane*2019 · 6 citations*
45. **[Arabic Compact Language Modelling for Resource Limited Devices](https://md.research.elamur.ai/free/en/papers/alyafeai-2021-arabic-compact-language-modelling-resource/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Zaid Alyafeai, Irfan Ahmad*2021 · 5 citations*
46. **[DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/song-2021-deepblueai-wanlp-eacl2021-task-2/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Bingyan Song, Chunguang Pan, Shengguang Wang, et al.*2021 · 5 citations*
47. **[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*
48. **[WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT](https://md.research.elamur.ai/free/en/papers/salam-2021-wanlp-2021-shared-task-irony/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem Abdel-Salam*2021 · 5 citations*
49. **[Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations*
50. **[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*
51. [**AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset arXiv:2110.01948**Mohamed Seghir Hadj Ameur, Hassina Aliane*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-ssd-arabic-covid-19/)
52. **[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*
53. **[CLTL at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Transformer Models](https://md.research.elamur.ai/free/en/papers/wang-2024-cltl-araieval-shared-task-multimodal/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yeshan Wang, Ilia Markov*2024 · 3 citations*
54. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/) [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*2022 · 2 citations*
55. **[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*
56. **[Audience Engagement with Arabic Women's Social Empowerment and Wellbeing: A Decadal Corpus](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-audience-engagement-arabic-women-s/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wajdi Zaghouani, Mabrouka Bessghaier, Md. Rafiul Biswas, et al.*2026 · 1 citation*
57. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
58. **[Love Me, Love Me Not: Human-Directed Sentiment Analysis in Arabic](https://md.research.elamur.ai/free/en/papers/israeli-2022-love-me-love-me-not/) [International Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short Papers](https://md.research.elamur.ai/free/en/venues/nsurl/)**Abraham Israeli, Aviv Naaman, Yotam Nahum, et al.*2022 · 1 citation*
59. **[Hidden Sentiments: The Impact of Low-level Adversarial Perturbations on Arabic Sentiment Analysis Services](https://md.research.elamur.ai/free/en/papers/abdelkader-2026-hidden-sentiments-impact-low-level/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Hefny Abdelkader, Abdelrahman Hamada*2026*
60. **[JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-jobarabi-arabic-corpus-analysis-job/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wajdi Zaghouani, Shimaa Amer Ibrahim, Mabrouka Bessghaier, et al.*2026*
61. **[Nakba Discourse 2025: A Bilingual Social Media Dataset for Collective Trauma Analysis](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-nakba-discourse-2025-bilingual-social/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Wajdi Zaghouani, Mabrouka Bessghaier, Kais Attia*2026*
62. **[When Bigger Isn't Better: Evaluating LLMs for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/ibrahim-2026-when-bigger-isn-t-better/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Mohamed Ibrahim, Abdullah Makki, Youssef Barakat, et al.*2026*
63. [**Computational Linguistics Meets Libyan Dialect: A Study on Dialect Identification arXiv:2512.04257 · International Journal of Intelligent Systems and Applications, Volume 17, Number 6, December 2025, Page 118**Mansour Essgaer, Khamis Massud, Rabia Al Mamlook, et al.*2025*](https://md.research.elamur.ai/free/en/papers/essgaer-2025-computational-linguistics-meets-libyan-dialect/)
64. **[Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation](https://md.research.elamur.ai/free/en/papers/bellaouar-2025-dhati-fine-tuned-large-language/) [Language Resources and Evaluation](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/)**Slimane Bellaouar, Attia Nehar, Soumia Souffi, et al.*2025*
65. [**Fine-Grained Arabic Offensive Language Classification with Taxonomy, Sentiment, and Emotions Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models**Natalia Vanetik, Marina Litvak, Chaya Liebeskind*2025*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-fine-grained-arabic-offensive-language/)
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67. [**Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets arXiv:2405.11282**Amr Keleg, Walid Magdy, Sharon Goldwater*2024*](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-interannotator/)
68. [**A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets arXiv:2201.12664**Mustafa Mhamed, Richard Sutcliffe, Xia Sun, et al.*2022*](https://md.research.elamur.ai/free/en/papers/mhamed-2022-deep-cnn-architecture-novel-pooling/)
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70. [**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/)
71. **[Plongements lexicaux spécifiques à la langue arabe : application à l'analyse d'opinions (Arabic-specific embedddings : application in Sentiment Analysis)](https://md.research.elamur.ai/free/en/papers/barhoumi-2019-plongements-lexicaux-specifiques-la-langue/) [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, Chafik Aloulou, et al.*2019*

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