---
title: "Basma Alharbi — author profile and papers"
description: "Basma Alharbi, University of Jeddah: 3 papers on Elamur Research (2020–2024), h-index 10 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/basma-alharbi/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/basma-alharbi/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Basma Alharbi

# Basma Alharbi

3 papers on this site · 2020–2024

current affiliation [University of Jeddah](https://ror.org/015ya8798), Jeddah, Saudi Arabia

Basma Alharbi has 3 papers on this site, in 2020–2024, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Hind Alamro](https://md.research.elamur.ai/free/en/authors/hind-alamro/), [Inji Ibrahim Jaber](https://md.research.elamur.ai/free/en/authors/inji-ibrahim-jaber/), [Manal Alshehri](https://md.research.elamur.ai/free/en/authors/manal-alshehri/).

[OpenAlex](https://openalex.org/A5040031136) · [ORCID](https://orcid.org/0000-0001-5399-2320) · [**h-index 10**](https://openalex.org/authors/A5040031136) · [30 works](https://openalex.org/works?filter=author.id:A5040031136) · [501 citations](https://openalex.org/works?filter=author.id:A5040031136&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[3 works on this site](https://md.research.elamur.ai/free/en/authors/basma-alharbi/#papers) · [18 citations in our library](https://md.research.elamur.ai/free/en/authors/basma-alharbi/cited-by/) · [⭐ Paper Star rank #4411](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4411)

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=Basma+Alharbi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Basma+Alharbi) · [dblp](https://dblp.org/search?q=Basma+Alharbi) · [ACL Anthology](https://aclanthology.org/search/?q=Basma+Alharbi)

## Affiliations

- [University of Jeddah](https://ror.org/015ya8798) · Jeddah, Saudi Arabia —current · 2019–2026 on 21 papers
- [King Abdullah University of Science and Technology](https://md.research.elamur.ai/free/en/universities/king-abdullah-university-of-science-and-technology/) · Jeddah, Saudi Arabia —2014–2017 on 5 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

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

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/alghamdi-2024-aratar-corpus-support-fine-grained/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/alamro-2021-overview-arabic-sentiment-analysis-2021/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)** *(2020 · 39 citations)* Arabic sentiment analysis has lagged behind English and Chinese. One commonly cited reason is the shortage of large, carefully labelled benchmarks. Existing Twitter corpora are either big but labelled automatically from emojis (TEAD, ASTAD) or hand-labelled but small. The authors built ASAD, a three-class…
2. **[Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST](https://md.research.elamur.ai/free/en/papers/alamro-2021-overview-arabic-sentiment-analysis-2021/)** *(2021 · 5 citations)* This paper reports on a Kaggle-hosted shared task run by KAUST. Participants had to sort Arabic tweets into positive, negative or neutral. The data came from ASAD, a corpus of 100K sentiment-labelled tweets from 2012–2020. It covers Khaleeji, Hijazi, Egyptian and Modern Standard Arabic and was annotated by the…
3. **[AraTar: A Corpus to Support the Fine-grained Detection of Hate Speech Targets in the Arabic Language](https://md.research.elamur.ai/free/en/papers/alghamdi-2024-aratar-corpus-support-fine-grained/)** *(2024 · 2 citations)* Most Arabic hate speech resources only separate hateful from non-hateful text, or assign a single hate type per message.

## Co-authors here

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

- [Hind Alamro](https://md.research.elamur.ai/free/en/authors/hind-alamro/) ×2
- [Inji Ibrahim Jaber](https://md.research.elamur.ai/free/en/authors/inji-ibrahim-jaber/) ×2
- [Manal Alshehri](https://md.research.elamur.ai/free/en/authors/manal-alshehri/) ×2
- [Manal Kalkatawi](https://md.research.elamur.ai/free/en/authors/manal-kalkatawi/) ×2
- [Xiangliang Zhang](https://md.research.elamur.ai/free/en/authors/xiangliang-zhang/) ×2
- [Zuhair Khayyat](https://md.research.elamur.ai/free/en/authors/zuhair-khayyat/) ×2

## Cited by

Papers of our library cite their works 18 times (of the 140 884 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/basma-alharbi/cited-by/).
