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Mahmoud Nabil

Mahmoud Nabil has 2 papers in our library, in 2014–2015, most of them on Sentiment & emotion, Semitic languages, Evaluation & benchmarks; often with Amir Atiya, Mohamed Aly.

2 papers in our library · 2014–2015

OpenAlex · ORCID · h-index 19 · 69 works · 1,565 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 94 times in our library · ⭐ Paper Stars ranking: #3798

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of AlabamaTuscaloosa · United States2025–2026 · 2 paperscurrent🎓North Carolina Agricultural and Technical State UniversityGreensboro · United States2019–2025 · 33 papers🎓Tennessee Technological UniversityCookeville · United States2018–2024 · 15 papers🎓University of North Carolina at GreensboroGreensboro · United States2022–2024 · 3 papers🎓Cairo UniversityGiza · Egypt2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksExperimental and Cognitive Psychology · 2 worksPsychology · 2 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksSentiment & emotion · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2010s

20151 paper20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ASTD: Arabic Sentiment Tweets Dataset (2015 · 470 citations)
    The paper addresses the shortage of standard, publicly available benchmarks for Arabic sentiment analysis on social media.
  2. LABR: A Large Scale Arabic Sentiment Analysis Benchmark (2014 · 41 citations)
    Arabic sentiment analysis has lacked large, open, comparable data. Earlier Arabic corpora held a few thousand examples at most, were mostly not released, and had no fixed train/test division. The authors built LABR by harvesting book reviews from Goodreads, cleaning them and keeping only purely Arabic texts. The…

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); 66 citing papers with a page here →.

Updated

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