--- title: "Who cites Mazajak: An Online Arabic Sentiment Analyser" description: "54 papers of the Elamur Research library cite «Mazajak: An Online Arabic Sentiment Analyser», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Mazajak: An Online Arabic Sentiment Analyser](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) 1. [**AraBERT: Transformer-based Model for Arabic Language Understanding arXiv:2003.00104**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,302 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/) 2. [**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/) 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 · 289 citations* 4. **[Arabic Offensive Language on Twitter: Analysis and Experiments](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.*2021 · 165 citations* 5. **[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 (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING](https://md.research.elamur.ai/free/en/venues/osact/)**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations* 6. **[Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy*2021 · 112 citations* 7. [**Arabic Dialect Identification in the Wild arXiv:2005.06557**Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2020-arabic-dialect-identification-wild/) 8. **[Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Fatemah Husain, Ozlem Uzuner*2021 · 19 citations* 9. **[Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alharbi-2021-multi-task-learning-combination-contextualised/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abdullah I. Alharbi, Mark Lee*2021 · 14 citations* 10. **[Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features](https://md.research.elamur.ai/free/en/papers/gaanoun-2021-sarcasm-sentiment-detection-arabic-language/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Kamel Gaanoun, Imade Benelallam*2021 · 10 citations* 11. **[The IDC System for Sentiment Classification and Sarcasm Detection in Arabic](https://md.research.elamur.ai/free/en/papers/israeli-2021-idc-system-sentiment-classification-sarcasm/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Abraham Israeli, Yotam Nahum, Shai Fine, et al.*2021 · 10 citations* 12. **[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* 13. **[Metaphorical Expressions in Automatic Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alsiyat-2020-metaphorical-expressions-automatic-arabic-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Israa Alsiyat, Scott Piao*2020 · 8 citations* 14. **[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* 15. **[SinaTools: Open Source Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/hammouda-2024-sinatools-open-source-toolkit-arabic/) [Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/)**Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia*2024 · 5 citations* 16. [**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/) 17. **[ArSarcasMoji Dataset: The Emoji Sentiment Roles in Arabic Ironic Contexts](https://md.research.elamur.ai/free/en/papers/hakami-2023-arsarcasmoji-dataset-emoji-sentiment-roles/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2023 · 3 citations* 18. [**SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection arXiv:2007.13974**Fatemah Husain; Jooyeon Lee; Samuel Henry;, Ozlem Uzuner*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/husain-2020-salamnet-semeval-2020-task12-deep/) 36 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) — Mazajak: An Online Arabic Sentiment Analyser