--- title: "Who cites Subjectivity and Sentiment — 18 citing papers" description: "18 papers of the Elamur Research library cite «Subjectivity and Sentiment Annotation of Modern Standard Arabic Newswire», found in their…" canonical: "https://research.elamur.ai/free/en/papers/mageed-2011-subjectivity-sentiment-annotation-modern-standard/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mageed-2011-subjectivity-sentiment-annotation-modern-standard/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Subjectivity and Sentiment Annotation of Modern…](https://md.research.elamur.ai/free/en/papers/mageed-2011-subjectivity-sentiment-annotation-modern-standard/) / cited by # Who cites «Subjectivity and Sentiment Annotation of Modern Standard Arabic Newswire» 18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Subjectivity and Sentiment Annotation of Modern Standard Arabic Newswire»](https://md.research.elamur.ai/free/en/papers/mageed-2011-subjectivity-sentiment-annotation-modern-standard/) 1. **[SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations* 2. **[AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/mageed-2012-awatif-multi-genre-corpus-modern/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Muhammad Abdul-Mageed, Mona Diab*2012 · 196 citations* 3. **[Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs](https://md.research.elamur.ai/free/en/papers/mourad-2013-subjectivity-sentiment-analysis-modern-standard/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ahmed Mourad, Kareem Darwish*2013 · 188 citations* 4. **[Sentiment Analysis For Modern Standard Arabic And Colloquial](https://md.research.elamur.ai/free/en/papers/ibrahim-2015-sentiment-analysis-modern-standard-arabic/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith*2015 · 115 citations* 5. **[SANA: A Large Scale Multi-Genre, Multi-Dialect Lexicon for Arabic Subjectivity and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/mageed-2014-sana-large-scale-multi-genre/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Muhammad Abdul-Mageed, Mona Diab*2014 · 114 citations* 6. **[Identifying Opinion Subgroups in Arabic Online Discussions](https://md.research.elamur.ai/free/en/papers/jbara-2013-identifying-opinion-subgroups-arabic-online/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amjad Abu-Jbara, Ben King, Mona Diab, et al.*2013 · 77 citations* 7. [**LABR: A Large Scale Arabic Sentiment Analysis Benchmark arXiv:1411.6718**Mahmoud Nabil, Mohamed Aly, Amir Atiya*2014 · 41 citations*](https://md.research.elamur.ai/free/en/papers/nabil-2014-labr-large-scale-arabic-sentiment/) 8. **[Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/ibrahim-2015-idioms-proverbs-lexicon-modern-standard/) [International Journal of Computer Applications](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-applications/)**Hossam S. Ibrahim, Sherif M. Abdou, Mervat Gheith*2015 · 33 citations* 9. **[Annotating Targets of Opinions in Arabic using Crowdsourcing](https://md.research.elamur.ai/free/en/papers/farra-2015-annotating-targets-opinions-arabic-crowdsourcing/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Noura Farra, Kathy McKeown, Nizar Habash*2015 · 31 citations* 10. **[Exploring the Effects of Word Roots for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/oraby-2013-exploring-effects-word-roots-arabic/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Shereen Oraby, Yasser El-Sonbaty, Mohamad Abou El-Nasr*2013 · 30 citations* 11. **[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* 12. **[ThatiAR: Subjectivity Detection in Arabic News Sentences](https://md.research.elamur.ai/free/en/papers/suwaileh-2024-thatiar-subjectivity-detection-arabic-news/) [Proceedings of the International AAAI Conference on Web and Social Media](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-international-aaai-conference-on-web-and-social-media/)**Reem Suwaileh, Maram Hasanain, Fatema Hubail, et al.*2024 · 7 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. **[3arif: A Corpus of Modern Standard and Egyptian Arabic Tweets Annotated for Epistemic Modality Using Interactive Crowdsourcing](https://md.research.elamur.ai/free/en/papers/sabbagh-2014-3arif-corpus-modern-standard-egyptian/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Rania Al-Sabbagh, Roxana Girju, Jana Diesner*2014 · 3 citations* 4 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mageed-2011-subjectivity-sentiment-annotation-modern-standard/) — Subjectivity and Sentiment Annotation of Modern Standard Arabic Newswire