🧑‍🔬 Amir Hussain

🏛️ Affiliations

🎓Edinburgh Napier UniversityEdinburgh · United Kingdom2018–2026 · 393 papersEmployment since 2018current🎓King Fahd University of Petroleum and MineralsDhahran · Saudi Arabia2026 · 13 papersEmployment since 2026 · Chair Professor of AI, SDAIA-KFUPM Joint Research Centre for AIcurrent🎓University of Electronic Science and Technology of ChinaChengdu · China2024–2026 · 3 paperscurrent🎓University of StirlingStirling · United Kingdom2000–2020 · 324 papersEmployment 2000–2018🎓Anhui UniversityHefei · China2014–2019 · 10 papers🎓Taibah UniversityMedina · Saudi Arabia2016–2024 · 6 papers🎓Loyola Marymount UniversityLos Angeles · United States2006–2019 · 4 papers🎓California State University, NorthridgeNorthridge · United States1998–2004 · 4 papers🎓University of DundeeDundee · United Kingdom1999–2002 · 4 papers🎓University of EdinburghEdinburgh · United Kingdom2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 53 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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Arabizi sentiment analysis based on transliteration and automatic corpus annotation (2018 · 35 citations)
   The paper tackles sentiment classification of Arabizi, Arabic (here mostly Algerian dialect) typed in Latin letters, digits and punctuation. Arabizi spelling varies wildly, and labelled data is scarce. The authors avoid manual labelling and parallel corpora with a pipeline of four steps:
2. SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis (2018 · 12 citations)
   Algerian dialect (DALG), a Maghrebi Arabic variety, lacks labelled data for sentiment analysis. Social media users also write it in two scripts: Arabic letters and Arabizi, a romanization that mixes Latin letters and digits. The authors avoid manual labelling by building both a sentiment lexicon and an annotated…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Advances in machine translation for sign language: approaches, limitations, and challenges ↗Neural Computing and Applications · no summary yetUzma Farooq et al.2021 · 114 citations
2. Arabizi sentiment analysis based on transliteration and automatic corpus annotationWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisImane Guellil, Ahsan Adeel, Faical Azouaou, et al.2018 · 35 citations
3. SentiALG: Automated Corpus Annotation for Algerian Sentiment AnalysisarXiv:1808.05079Imane Guellil; Ahsan Adeel; Faical Azouaou;, Amir Hussain2018 · 12 citations

🤝 Co-authors here

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

• Ahsan Adeel
• Ala-eddine Hachani
• Faical Azouaou
• Fodil Benali
• Imane Guellil

Venues

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

• Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2018
• Neural Computing and Applications

🔗 Cited by

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 31 October 2026

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