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Amir Atiya

Amir Atiya has 4 papers in our library, in 2013–2015, most of them on Semitic languages, Sentiment & emotion, Evaluation & benchmarks; often with Mohamed Aly, Mahmoud Nabil.

4 papers in our library · 2013–2015

OpenAlex · ORCID · Wikidata · h-index 43 · 224 works · 14,051 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 153 times in our library · ⭐ Paper Stars ranking: #3471

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

🎓Cairo UniversityGiza · Egypt1993–2025 · 116 papersEmployment since 1993current🎓California Institute of TechnologyPasadena · United States1985–2014 · 38 papersEducation 1985–1991 · Ph D, Electrical Engineering🎓Texas A&M UniversityCollege Station · United States1991–2002 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksExperimental and Cognitive Psychology · 3 worksPsychology · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksEducation · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 4 worksSentiment & emotion · 2 worksGrammatical error correction & learner language · 1 workEvaluation & benchmarks · 1 work

 Works by year

2010s

20151 paper20142 papers20131 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 Book Reviews Dataset (2013 · 66 citations)
    Arabic sentiment analysis has had very few corpora, and the existing ones are small. The authors address this with LABR, which they describe as the largest Arabic sentiment dataset at the time of publication. They crawled more than 220,000 reviews from Goodreads in March 2013, taken from books on the "Best Arabic…
  3. 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…
  4. Arabic Spelling Correction using Supervised Learning (2014 · 23 citations)
    The paper presents a system for automatic Arabic spelling correction, built for the QALB 2014 shared task on Arabic error correction.

 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 153 times (of the 149,439 papers whose bibliographies we read); 87 citing papers with a page here →.

Updated

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