---
title: "Who cites A Large Scale Arabic Sentiment — 51 citing papers"
description: "51 papers of the Elamur Research library cite «A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining», found in their…"
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---
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# Who cites «A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining»

51 papers of our library cite it (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · [← back to «A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining»](https://md.research.elamur.ai/free/en/papers/badaro-2014-large-scale-arabic-sentiment-lexicon/)

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. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,094 citations*
3. **[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*
4. [**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/)
5. **[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*
6. **[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*
7. **[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*
8. **[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*
9. **[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*
10. **[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*
11. **[Transformers for Tabular Data Representation: A Survey of Models and Applications](https://md.research.elamur.ai/free/en/papers/badaro-2023-transformers-tabular-data-representation-survey/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gilbert Badaro, Mohammed Saeed, Paolo Papotti*2023 · 104 citations*
12. **[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*
13. **[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*
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. **[EMA at SemEval-2018 Task 1: Emotion Mining for Arabic](https://md.research.elamur.ai/free/en/papers/badaro-2018-ema-semeval-2018-task-1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Gilbert Badaro, Obeida El Jundi, Alaa Khaddaj, et al.*2018 · 73 citations*
16. **[SLSA: A Sentiment Lexicon for Standard Arabic](https://md.research.elamur.ai/free/en/papers/eskander-2015-slsa-sentiment-lexicon-standard-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Eskander, Owen Rambow*2015 · 72 citations*
17. **[NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Samhaa R. El-Beltagy*2016 · 65 citations*
18. [**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/)
19. **[CAT: Credibility Analysis of Arabic Content on Twitter](https://md.research.elamur.ai/free/en/papers/ballouli-2017-cat-credibility-analysis-arabic-content/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Rim El Ballouli, Wassim El-Hajj, Ahmad Ghandour, et al.*2017 · 52 citations*
20. **[EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet](https://md.research.elamur.ai/free/en/papers/badaro-2018-emowordnet-automatic-expansion-emotion-lexicon/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gilbert Badaro, Hussein Jundi, Hazem Hajj, et al.*2018 · 43 citations*
21. **[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*
22. **[Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 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. **[Arabic Corpora for Credibility Analysis](https://md.research.elamur.ai/free/en/papers/zaatari-2016-arabic-corpora-credibility-analysis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ayman Al Zaatari, Rim El Ballouli, Shady ELbassouni, et al.*2016 · 33 citations*
25. **[A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets](https://md.research.elamur.ai/free/en/papers/badaro-2015-light-lexicon-based-mobile-application/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Gilbert Badaro, Ramy Baly, Rana Akel, et al.*2015 · 32 citations*
26. [**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/)
27. **[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*
28. **[Complementary Strategies for Low Resourced Morphological Modeling](https://md.research.elamur.ai/free/en/papers/erdmann-2018-complementary-strategies-low-resourced-morphological/) [Workshop on Computational Research in Phonetics, Phonology, and Morphology](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-research-in-phonetics-phonology-and-morphology/)**Alexander Erdmann, Nizar Habash*2018 · 18 citations*
29. **[SMARTies: Sentiment Models for Arabic Target entities](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Noura Farra, Kathy McKeown*2017 · 15 citations*
30. **[SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)](https://md.research.elamur.ai/free/en/papers/tobaili-2019-senzi-sentiment-analysis-lexicon-latinised/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Taha Tobaili, Miriam Fernandez, Harith Alani, et al.*2019 · 14 citations*
31. **[Emoji Sentiment Roles for Sentiment Analysis: A Case Study in Arabic Texts](https://md.research.elamur.ai/free/en/papers/hakami-2022-emoji-sentiment-roles-sentiment-analysis/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2022 · 12 citations*
32. [**SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis arXiv:1808.05079**Imane Guellil; Ahsan Adeel; Faical Azouaou;, Amir Hussain*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2018-sentialg-automated-corpus-annotation-algerian/)
33. **[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*
34. **[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*
35. [**Arabic Opinion Mining Using a Hybrid Recommender System Approach arXiv:2009.07397**Fouzi Harrag, Abdulmalik Salman Al-Salman, Alaa Alquahtani*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/harrag-2020-arabic-opinion-mining-using-hybrid/)
36. **[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*
37. **[Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study](https://md.research.elamur.ai/free/en/papers/kwaik-2019-can-modern-standard-arabic-approaches/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2019 · 6 citations*
38. [**Arabic Sentiment Analysis with Noisy Deep Explainable Model arXiv:2309.13731 · NLPIR 2023: 2023 7th International Conference on Natural Language Processing and Information Retrieval, Seoul, Republic of Korea, December 2023**Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/atabuzzaman-2023-arabic-sentiment-analysis-noisy-deep/)
39. **[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*
40. **[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*
41. **[A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL)](https://md.research.elamur.ai/free/en/papers/hakami-2022-context-free-arabic-emoji-sentiment/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2022 · 2 citations*
42. **[A Corpus-Based Investigation of Contemporary Arabic Dialects Using the SADA Corpus](https://md.research.elamur.ai/free/en/papers/alfattni-2026-corpus-based-investigation-contemporary-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ghada Alfattni*2026*
43. **[CasbAI at AraSentEval 2026: Robust Dialectal Arabic Sentiment Classification via Multi-Seed Ensembling and Data Augmentation.](https://md.research.elamur.ai/free/en/papers/abdelaziz-2026-casbai-arasenteval-2026-robust-dialectal/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Chaima Abdelaziz, KahinaHouda Saadaoui, Faiza BELBACHIR, et al.*2026*
44. **[University of Tripoli at AraSentEval: Fine-Tuning MARBERTv2 and CAMELBERT for Multi-Dialect Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/nwesri-2026-university-tripoli-arasenteval-fine-tuning/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdusalam F. Ahmad Nwesri, Amani Bahlul Sharif, Sarah Farag S. Hmeid*2026*
45. [**Multilevel sentiment analysis in arabic arXiv:2205.12328**Ahmed Nassar, Ebru Sezer*2022*](https://md.research.elamur.ai/free/en/papers/nassar-2022-multilevel-sentiment-analysis-arabic/)

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

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