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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.

3 papers in our library · 2018–2022

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

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

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.

 Works by year

2020s

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. 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…
  3. 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

8 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 18 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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