---
title: "Who cites Sherif M. Abdou — 24 papers of our library"
description: "24 papers of the Elamur Research library cite the works of Sherif M. Abdou, found in their bibliographies; the most cited first."
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---
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# Who cites Sherif M. Abdou

28 citations of their works from 24 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · [← Sherif M. Abdou](https://md.research.elamur.ai/free/en/authors/sherif-m-abdou/)

1. **[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*
2. [**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/)
3. **[A Combined CNN and LSTM Model for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alayba-2018-combined-cnn-lstm-model-arabic/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Abdulaziz M. Alayba; Vasile Palade; Matthew England;, Rahat Iqbal*2018 · 217 citations*
4. **[Deep Learning Models for Sentiment Analysis in Arabic](https://md.research.elamur.ai/free/en/papers/sallab-2015-deep-learning-models-sentiment-analysis/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Ahmad Al Sallab, Hazem Hajj, Gilbert Badaro, et al.*2015 · 162 citations*
5. **[Natural Language Processing for Dialectical Arabic: A Survey](https://md.research.elamur.ai/free/en/papers/shoufan-2015-natural-language-processing-dialectical-arabic/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Abdulhadi Shoufan, Sumaya Alameri*2015 · 142 citations*
6. [**A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine arXiv:1902.06242 · IJCSNS International Journal of Computer Science and Network Security, VOL.19 No.1, January 2019, 167-176**Omar Al-Harbi*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/al-harbi-2019-comparative-study-feature-selection-methods/)
7. [**Sentiment analysis for Arabic language: A brief survey of approaches and techniques arXiv:1809.02782**Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/alrefai-2018-sentiment-analysis-arabic-language-brief/)
8. **[A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message](https://md.research.elamur.ai/free/en/papers/elmadany-2015-survey-arabic-dialogues-understanding-spontaneous/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith*2015 · 10 citations*
9. **[Towards Understanding Egyptian Arabic Dialogues](https://md.research.elamur.ai/free/en/papers/elmadany-2015-towards-understanding-egyptian-arabic-dialogues/) [International Journal of Computer Applications](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-applications/)**Abdelrahim A Elmadany, Sherif M Abdou, Mervat Gheith*2015 · 10 citations*
10. **[Using objective words in the reviews to improve the colloquial arabic sentiment analysis](https://md.research.elamur.ai/free/en/papers/al-harbi-2017-using-objective-words-reviews-improve/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**Omar Al-Harbi*2017 · 8 citations*
11. **[Gulf Arabic Linguistic Resource Building for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/adouane-2016-gulf-arabic-linguistic-resource-building/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Wafia Adouane, Richard Johansson*2016 · 7 citations*
12. **[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*
13. **[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*
14. **[Breaking Bad: Norms for Valence, Arousal, and Dominance for over 10k English Multiword Expressions](https://md.research.elamur.ai/free/en/papers/mohammad-2025-breaking-bad-norms-valence-arousal/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Saif M. Mohammad*2025 · 4 citations*
15. **[AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss](https://md.research.elamur.ai/free/en/papers/daif-2020-aradic-arabic-document-classification-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi*2020 · 4 citations*
16. **[Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages](https://md.research.elamur.ai/free/en/papers/elmadany-2015-turn-segmentation-utterances-arabic-spontaneous/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith*2015 · 3 citations*
17. **[Des représentations continues de mots pour l'analyse d'opinions en arabe: une étude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)](https://md.research.elamur.ai/free/en/papers/barhoumi-2018-des-representations-continues-de-mots/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Amira Barhoumi, Nathalie Camelin, Yannick Estève*2018 · 2 citations*
18. **[From Trial by Fire to Sleep like a Baby: A Lexicon of Anxiety Associations for 20K English Multi-Word Expressions](https://md.research.elamur.ai/free/en/papers/mohammad-2026-trial-fire-sleep-like-baby/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif M. Mohammad*2026 · 1 citation*
19. [**From Trial by Fire To Sleep Like a Baby: A Lexicon of Anxiety Associations for 20k English Multiword Expressions arXiv:2602.18692 · LREC 2026**Saif M. Mohammad*2026*](https://md.research.elamur.ai/free/en/papers/mohammad-2026-trial-fire-sleep-like-baby-lexicon/)
20. [**Sentiment Analysis in Poems in Misurata Sub-dialect — A Sentiment Detection in an Arabic Sub-dialect arXiv:2109.07203**Azza Abugharsa*2021*](https://md.research.elamur.ai/free/en/papers/abugharsa-2021-sentiment-analysis-poems-misurata-sub/)
21. [**LEBANONUPRISING: a thorough study of Lebanese tweets arXiv:2009.14459**Reda Khalaf, Mireille Makary*2020*](https://md.research.elamur.ai/free/en/papers/khalaf-2020-lebanonuprising-thorough-study-lebanese-tweets/)
22. **[Plongements lexicaux spécifiques à la langue arabe : application à l'analyse d'opinions (Arabic-specific embedddings : application in Sentiment Analysis)](https://md.research.elamur.ai/free/en/papers/barhoumi-2019-plongements-lexicaux-specifiques-la-langue/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2019*

2 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/sherif-m-abdou/) — Sherif M. Abdou