---
title: "Who cites AWATIF: A Multi-Genre Corpus — 33 citing papers"
description: "33 papers of the Elamur Research library cite «AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment…"
canonical: "https://research.elamur.ai/free/en/papers/mageed-2012-awatif-multi-genre-corpus-modern/cited-by/"
---
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# Who cites «AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · [← back to «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/)

1. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic arXiv:2101.01785 · ACL-2021 camera ready version**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/)
2. **[ASTD: Arabic Sentiment Tweets Dataset](https://md.research.elamur.ai/free/en/papers/nabil-2015-astd-arabic-sentiment-tweets-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mahmoud Nabil, Mohamed Aly, Amir Atiya*2015 · 470 citations*
3. [**A review of sentiment analysis research in Arabic language arXiv:2005.12240**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
4. **[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*
5. **[An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/refaee-2014-arabic-twitter-corpus-subjectivity-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Eshrag Refaee, Verena Rieser*2014 · 172 citations*
6. **[A computational approach to politeness with application to social factors](https://md.research.elamur.ai/free/en/papers/mizil-2013-computational-approach-politeness-application-social/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, et al.*2013 · 141 citations*
7. [**SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis**Muhammad Abdul-Mageed, Sandra Kuebler, Mona Diab*2012 · 115 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2012-samar-system-subjectivity-sentiment-analysis/)
8. **[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*
9. **[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*
10. **[LABR: A Large Scale Arabic Book Reviews Dataset](https://md.research.elamur.ai/free/en/papers/aly-2013-labr-large-scale-arabic-book/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohamed Aly, Amir Atiya*2013 · 66 citations*
11. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
12. **[No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/zhang-2019-no-army-no-navy-bert/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chiyu Zhang, Muhammad Abdul-Mageed*2019 · 51 citations*
13. [**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/)
14. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset arXiv:2011.00578**Basma Alharbi, Hind Alamro, Manal Alshehri, et al.*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)
15. **[Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialect](https://md.research.elamur.ai/free/en/papers/jbel-2023-sentiment-analysis-dataset-moroccan-dialect/) [Language Resources and Evaluation](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/)**Mouad Jbel, Mourad Jabrane, Imad Hafidi, et al.*2023 · 35 citations*
16. **[Arabizi sentiment analysis based on transliteration and automatic corpus annotation](https://md.research.elamur.ai/free/en/papers/guellil-2018-arabizi-sentiment-analysis-based-transliteration/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Imane Guellil, Ahsan Adeel, Faical Azouaou, et al.*2018 · 35 citations*
17. **[Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets](https://md.research.elamur.ai/free/en/papers/refaee-2015-benchmarking-machine-translated-sentiment-analysis/) [Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop](https://md.research.elamur.ai/free/en/venues/conference-of-the-north-american-chapter-of-the-association-for-computational/)**Eshrag Refaee, Verena Rieser*2015 · 31 citations*
18. **[Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds](https://md.research.elamur.ai/free/en/papers/refaee-2014-evaluating-distant-supervision-subjectivity-sentiment/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Eshrag Refaee, Verena Rieser*2014 · 27 citations*
19. **[A Leveled Reading Corpus of Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/khalil-2018-leveled-reading-corpus-modern-standard/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Muhamed Al Khalil, Hind Saddiki, Nizar Habash, et al.*2018 · 26 citations*
20. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations*
21. **[Using the Semantic-Syntactic Interface for Reliable Arabic Modality Annotation](https://md.research.elamur.ai/free/en/papers/sabbagh-2013-semantic-syntactic-interface-reliable-arabic/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Rania Al-Sabbagh, Jana Diesner, Roxana Girju*2013 · 16 citations*
22. [**SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis arXiv:1808.05079**Imane Guellil; Ahsan Adeel; Faical Azouaou;, Amir Hussain*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2018-sentialg-automated-corpus-annotation-algerian/)
23. [**A System for Extracting Sentiment from Large-Scale Arabic Social Data arXiv:1511.04661**Hao Wang, Vijay R. Bommireddipalli, Ayman Hanafy, et al.*2015 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-system-extracting-sentiment-large-scale/)
24. **[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*
25. **[Subjective Sentiment Analysis for Arabic Newswire Comments](https://md.research.elamur.ai/free/en/papers/bessou-2019-subjective-sentiment-analysis-arabic-newswire/) [Journal of Digital Information Management](https://md.research.elamur.ai/free/en/venues/journal-of-digital-information-management/)**Sadik Bessou, Rania Aberkane*2019 · 6 citations*
26. **[Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms](https://md.research.elamur.ai/free/en/papers/bayoudhi-2015-sentiment-classification-arabic-documents-experiments/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Amine Bayoudhi, Hatem Ghorbel, Lamia Hadrich Belguith*2015 · 6 citations*
27. **[Interactive Learning Approach for Arabic Target-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/balla-2021-interactive-learning-approach-arabic-target/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Husamelddin Balla, Marisa Llorens Salvador, Sarah Jane Delany*2021*

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

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