🔗 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»

1. A review of sentiment analysis research in Arabic languagearXiv:2005.12240Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli2020 · 241 citations
2. ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine TweetsarXiv:1906.01830Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.2019 · 61 citations
3. An Open Dataset and Model for Language IdentificationAnnual Meeting of the Association for Computational Linguistics (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 EmbeddingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.2021 · 41 citations
5. Evaluating ChatGPT and Bard AI on Arabic Sentiment AnalysisArabic Natural Language Processing Conference (ArabicNLP)Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.2023 · 27 citations
6. Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment AnalysisArabic Natural Language Processing Workshop (WANLP)Chayma Fourati, Hatem Haddad, Abir Messaoudi, et al.2021 · 14 citations
7. Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic DialectsArabic Natural Language Processing Workshop (WANLP)Hala Mulki, Hatem Haddad, Mourad Gridach, et al.2019 · 13 citations
8. SentiALG: Automated Corpus Annotation for Algerian Sentiment AnalysisarXiv:1808.05079Imane Guellil; Ahsan Adeel; Faical Azouaou;, Amir Hussain2018 · 12 citations
9. A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future DirectionsFindings of the Association for Computational LinguisticsZhiqiang Shi, Ruchit Agrawal2025 · 9 citations
10. TArC: Tunisian Arabish Corpus, First complete releaseLanguage Resources and Evaluation Conference (LREC)Elisa Gugliotta, Marco Dinarelli2022 · 8 citations
11. TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish CorpusLanguage Resources and Evaluation Conference (LREC)Elisa Gugliotta, Marco Dinarelli2020 · 8 citations
12. Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment AnalysisInternational Conference on Natural Language Processing for the Digital HumanitiesMohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven2024 · 6 citations
13. Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case StudyWorkshop on Arabic Corpus LinguisticsKathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik2019 · 6 citations
14. ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialectsWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisImane Guellil, Faical Azouaou, Fodil Benali, et al.2021 · 5 citations
15. Are Dialects Better Prompters? A Case Study on Arabic Subjective Text ClassificationFindings of the Association for Computational LinguisticsLeila Moudjari, Farah Benamara2025 · 3 citations
16. ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect TaggingarXiv:2601.02209Omer Nacar, Serry Sibaee, Adel Ammar, et al.2026 · 1 citation
17. Towards a Unified Digital Resource for Tunisian ArabicConference on Language, Data and KnowledgeElisa Gugliotta, Michele Mallia, Livia Panascì2023 · 1 citation
18. Experiences from Creating a Benchmark for Sentiment Classification for Varieties of EnglisharXiv:2410.11216Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.2024
19. Homograph Attacks on Maghreb Sentiment AnalyzersarXiv:2402.03171Fatima Zahra Qachfar, Rakesh M. Verma2024
20. TArC. Un corpus d'arabish tunisienJEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elisa Gugliotta, Marco Dinarelli2020

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

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