Ahsan Adeel
Ahsan Adeel has 3 papers in our library, in 2018–2022, most of them on Semitic languages, Sentiment & emotion, Multilingual & cross-lingual NLP; often with Faical Azouaou, Imane Guellil, Akram Abdelhaq Moumna.
OpenAlex · ORCID · h-index 23 · 66 works · 1,824 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 18 times in our library · ⭐ Paper Stars ranking: #7766
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 1 workExperimental and Cognitive Psychology · 1 workLanguage and Linguistics · 1 workPsychology · 1 work
🧭 Topics 6Research subjects and languages the work is about.Semitic languages · 3 worksSentiment & emotion · 2 worksEnglish · 1 workFrench · 1 workMultilingual & cross-lingual NLP · 1 workBias, fairness & safety · 1 work
Works by year
2020s
2010s
Papers
- 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: - Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English (2021 · 12 citations)
The paper tackles automatic detection of hateful comments aimed at women in Arabic-speaking social media. Earlier work concentrated on English or on general hate speech. The authors gathered YouTube comments about women, written in MSA and Algerian dialect and mixing Arabic script, Arabizi (romanised Arabic), French… - Ara-Women-Hate: An Annotated Corpus Dedicated to Hate Speech Detection against Women in the Arabic Community (2022 · 4 citations)
The paper addresses the lack of Arabic resources for detecting online hate directed at women. Most earlier work on sexism and misogyny covers English, and the few Arabic hate speech studies mostly use Twitter. The authors build a new YouTube corpus, called Arabic_fr_en. They found videos about women by searching for…
Co-authors here
- Faical Azouaou ×3
- Imane Guellil ×3
- Akram Abdelhaq Moumna ×2
- Mohamed Boubred ×2
- Yousra Houichi ×2
- Ala-eddine Hachani
- Amir Hussain
- Fodil Benali
Venues
- Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2018
- Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference
Cited by
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