🔗 Who cites «Mazajak: An Online Arabic Sentiment Analyser»

54 papers of our library cite it (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Mazajak: An Online Arabic Sentiment Analyser»

1. AraBERT: Transformer-based Model for Arabic Language UnderstandingarXiv:2003.00104Wissam Antoun, Fady Baly, Hazem Hajj2020 · 1,302 citations
2. The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language ModelsarXiv:2103.06678Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.2021 · 365 citations
3. CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language ProcessingLanguage Resources and Evaluation Conference (LREC)Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.2020 · 289 citations
4. Arabic Offensive Language on Twitter: Analysis and ExperimentsArabic Natural Language Processing Workshop (WANLP)Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.2021 · 165 citations
5. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm DatasetWorkshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLINGIbrahim Abu Farha, Walid Magdy2020 · 132 citations
6. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in ArabicArabic Natural Language Processing Workshop (WANLP)Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy2021 · 112 citations
7. Arabic Dialect Identification in the WildarXiv:2005.06557Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al.2020 · 47 citations
8. Leveraging Offensive Language for Sarcasm and Sentiment Detection in ArabicArabic Natural Language Processing Workshop (WANLP)Fatemah Husain, Ozlem Uzuner2021 · 19 citations
9. Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment AnalysisArabic Natural Language Processing Workshop (WANLP)Abdullah I. Alharbi, Mark Lee2021 · 14 citations
10. Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based FeaturesArabic Natural Language Processing Workshop (WANLP)Kamel Gaanoun, Imade Benelallam2021 · 10 citations
11. The IDC System for Sentiment Classification and Sarcasm Detection in ArabicArabic Natural Language Processing Workshop (WANLP)Abraham Israeli, Yotam Nahum, Shai Fine, et al.2021 · 10 citations
12. TArC: Tunisian Arabish Corpus, First complete releaseLanguage Resources and Evaluation Conference (LREC)Elisa Gugliotta, Marco Dinarelli2022 · 8 citations
13. Metaphorical Expressions in Automatic Arabic Sentiment AnalysisLanguage Resources and Evaluation Conference (LREC)Israa Alsiyat, Scott Piao2020 · 8 citations
14. Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment IdentificationArabic Natural Language Processing Workshop (WANLP)Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.2021 · 6 citations
15. SinaTools: Open Source Toolkit for Arabic Natural Language ProcessingProcedia Computer ScienceTymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia2024 · 5 citations
16. Arabic Sentiment Analysis with Noisy Deep Explainable ModelarXiv:2309.13731 · NLPIR 2023: 2023 7th International Conference on Natural Language Processing and Information Retrieval, Seoul, Republic of Korea, December 2023Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, et al.2023 · 5 citations
17. ArSarcasMoji Dataset: The Emoji Sentiment Roles in Arabic Ironic ContextsArabic Natural Language Processing Conference (ArabicNLP)Shatha Ali A. Hakami, Robert Hendley, Phillip Smith2023 · 3 citations
18. SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language DetectionarXiv:2007.13974Fatemah Husain; Jooyeon Lee; Samuel Henry;, Ozlem Uzuner2020 · 1 citation

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

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