--- title: "Who cites Sentiment Analysis of Tunisian — 28 citing papers" description: "28 papers of the Elamur Research library cite «Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments», found in their…" canonical: "https://research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sentiment Analysis of Tunisian Dialects…](https://md.research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/) / cited by # Who cites «Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments» 28 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments»](https://md.research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/) 1. [**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/) 2. [**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/) 3. **[An Open Dataset and Model for Language Identification](https://md.research.elamur.ai/free/en/papers/burchell-2023-open-dataset-model-language-identification/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Laurie Burchell, Alexandra Birch, Nikolay Bogoychev, et al.*2023 · 60 citations* 4. **[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* 5. **[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* 6. **[Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/fourati-2021-introducing-large-tunisian-arabizi-dialectal/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chayma Fourati, Hatem Haddad, Abir Messaoudi, et al.*2021 · 14 citations* 7. **[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* 8. [**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/) 9. **[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* 10. **[TArC: Tunisian Arabish Corpus, First complete release](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations* 11. **[TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-tarc-incrementally-semi-automatically-collecting/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elisa Gugliotta, Marco Dinarelli*2020 · 8 citations* 12. **[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* 13. **[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* 14. **[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* 15. **[Are Dialects Better Prompters? A Case Study on Arabic Subjective Text Classification](https://md.research.elamur.ai/free/en/papers/moudjari-2025-are-dialects-better-prompters-case/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Leila Moudjari, Farah Benamara*2025 · 3 citations* 16. [**ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect Tagging arXiv:2601.02209**Omer Nacar, Serry Sibaee, Adel Ammar, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nacar-2026-arcade-city-scale-corpus-fine/) 17. **[Towards a Unified Digital Resource for Tunisian Arabic](https://md.research.elamur.ai/free/en/papers/gugliotta-2023-unified-digital-resource-tunisian-arabic/) [Conference on Language, Data and Knowledge](https://md.research.elamur.ai/free/en/venues/ldk/)**Elisa Gugliotta, Michele Mallia, Livia Panascì*2023 · 1 citation* 18. [**Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English arXiv:2410.11216**Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.*2024*](https://md.research.elamur.ai/free/en/papers/srirag-2024-experiences-creating-benchmark-sentiment-classification/) 19. [**Homograph Attacks on Maghreb Sentiment Analyzers arXiv:2402.03171**Fatima Zahra Qachfar, Rakesh M. Verma*2024*](https://md.research.elamur.ai/free/en/papers/qachfar-2024-homograph-attacks-maghreb-sentiment-analyzers/) 20. **[TArC. Un corpus d'arabish tunisien](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-tarc-un-corpus-d-arabish/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Elisa Gugliotta, Marco Dinarelli*2020* 8 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/) — Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments