---
title: "Mohamed Seghir Hadj Ameur — author profile and papers"
description: "Mohamed Seghir Hadj Ameur, National Higher School of Statistics and Applied Economy: 3 papers on Elamur Research (2019–2021), h-index 8 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/mohamed-seghir-hadj-ameur/"
---
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# Mohamed Seghir Hadj Ameur

Mohamed Seghir Hadj Ameur has 3 papers in our library, in 2019–2021, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/); often with [Hassina Aliane](https://md.research.elamur.ai/free/en/authors/hassina-aliane/).

3 papers in our library · 2019–2021

current affiliation [National Higher School of Statistics and Applied Economy](https://ror.org/00cepgz04), Algiers, Algeria; [National School of Artificial Intelligence](https://ror.org/02pe71j59), Algiers, Algeria

[OpenAlex](https://openalex.org/A5071470693) · [ORCID](https://orcid.org/0000-0003-0170-2306) · [**h-index 8**](https://openalex.org/authors/A5071470693) · [19 works](https://openalex.org/works?filter=author.id:A5071470693) · [261 citations](https://openalex.org/works?filter=author.id:A5071470693&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[3 works in our library](https://md.research.elamur.ai/free/en/authors/mohamed-seghir-hadj-ameur/#papers) · [7 citations in our library](https://md.research.elamur.ai/free/en/authors/mohamed-seghir-hadj-ameur/cited-by/) · [⭐ Paper Star rank #4570](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4570)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Mohamed+Seghir+Hadj+Ameur) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mohamed+Seghir+Hadj+Ameur) · [dblp](https://dblp.org/search?q=Mohamed+Seghir+Hadj+Ameur) · [ACL Anthology](https://aclanthology.org/search/?q=Mohamed+Seghir+Hadj+Ameur)

## Affiliations

- [National Higher School of Statistics and Applied Economy](https://ror.org/00cepgz04) · Algiers, Algeria —current · 2026 on 1 paper
- [National School of Artificial Intelligence](https://ror.org/02pe71j59) · Algiers, Algeria —current · 2026 on 1 paper
- [Centre de Recherche sur l'Information Scientifique et Technique](https://md.research.elamur.ai/free/en/labs/centre-de-recherche-sur-l-information-scientifique-et-technique/) · Algiers, Algeria —2020–2021 on 2 papers
- [University of Sciences and Technology Houari Boumediene](https://md.research.elamur.ai/free/en/universities/university-of-sciences-and-technology-houari-boumediene/) · Algiers, Algeria —2015–2020 on 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Topics

[Semitic languages 3](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion 2](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Named entity recognition 1](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/mohamed-seghir-hadj-ameur/year/2021/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/ameur-2019-anetac-arabic-named-entity-transliteration/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-mfh-arabic-covid-19/)** *(2021 · 16 citations)* The paper addresses the lack of rich Arabic resources for detecting COVID-19 misinformation. Most existing fake news corpora use only a binary real/fake label, which cannot handle opinion posts that are neither true nor false, and they ignore how urgently a post needs verification. The authors built AraCOVID19-MFH, a…
2. **[ANETAC: Arabic Named Entity Transliteration and Classification Dataset](https://md.research.elamur.ai/free/en/papers/ameur-2019-anetac-arabic-named-entity-transliteration/)** *(2019 · 7 citations)* Research on Arabic named entity transliteration has been held back by a lack of training data. The only freely available English-Arabic resource the authors found has fewer than 13k pairs. This paper releases ANETAC, a dataset of 79,924 English-Arabic named entity pairs. Each pair is labelled as Person, Location, or…
3. **[AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-ssd-arabic-covid-19/)** *(2021 · 4 citations)* COVID-19 posts on social media often carry sarcasm, and sarcasm makes automatic opinion mining harder because the literal wording hides the writer's real attitude.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Hassina Aliane](https://md.research.elamur.ai/free/en/authors/hassina-aliane/) ×2

## Cited by

Papers of our library cite their works 7 times (of the 140 884 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/mohamed-seghir-hadj-ameur/cited-by/).
