--- title: "Who cites NileULex: A Phrase and Word — 13 citing papers" description: "13 papers of the Elamur Research library cite «NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard…" canonical: "https://research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [NileULex: A Phrase and Word Level Sentiment…](https://md.research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/) / cited by # Who cites «NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic» 13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic»](https://md.research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/) 1. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations* 2. **[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* 3. **[SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases](https://md.research.elamur.ai/free/en/papers/kiritchenko-2016-semeval-2016-task-7-determining/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh*2016 · 135 citations* 4. **[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 with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations* 5. **[NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/beltagy-2017-niletmrg-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Samhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman*2017 · 61 citations* 6. **[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* 7. **[Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets](https://md.research.elamur.ai/free/en/papers/mulki-2017-tw-star-semeval-2017-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2017 · 25 citations* 8. **[NileTMRG at SemEval-2016 Task 7: Deriving Prior Polarities for Arabic Sentiment Terms](https://md.research.elamur.ai/free/en/papers/beltagy-2016-niletmrg-semeval-2016-task-7/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Samhaa R. El-Beltagy*2016 · 12 citations* 9. **[A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT](https://md.research.elamur.ai/free/en/papers/saadany-2022-semi-supervised-approach-better-translation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hadeel Saadany, Constantin Orăsan, Emad Mohamed, et al.*2022 · 7 citations* 10. **[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* 11. **[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* 2 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/) — NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic