---
title: "Ahmed I.Taloba — author profile and papers"
description: "Ahmed I.Taloba: 2 papers on Elamur Research (2021) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ahmed-i-taloba/"
---
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# Ahmed I.Taloba

2 papers on this site · 2021

Ahmed I.Taloba has 2 papers on this site, in 2021, 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/); often with [Mohammed M.Abdelgwad](https://md.research.elamur.ai/free/en/authors/mohammed-m-abdelgwad/), [Taysir Hassan A Soliman](https://md.research.elamur.ai/free/en/authors/taysir-hassan-a-soliman/).

No OpenAlex profile matched yet.

[2 works on this site](https://md.research.elamur.ai/free/en/authors/ahmed-i-taloba/#papers) · [4 citations in our library](https://md.research.elamur.ai/free/en/authors/ahmed-i-taloba/cited-by/) · [⭐ Paper Star rank #3873](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3873)

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

## Topics

[Sentiment & emotion 2](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Semitic languages 2](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Works by year

### 2020s

[**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/ahmed-i-taloba/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Arabic aspect based sentiment analysis using bidirectional GRU based models](https://md.research.elamur.ai/free/en/papers/m-2021-abdelgwad-arabic-aspect-based-sentiment-analysis/)** *(2021 · 127 citations)* The paper tackles aspect-based sentiment analysis (ABSA) for Arabic. Most earlier Arabic work used classical machine learning that depends on scarce resources such as sentiment lexicons. The authors drop these resources and handcrafted features and use two deep models built on Gated Recurrent Units. The first…
2. **[Arabic aspect sentiment polarity classification using BERT](https://md.research.elamur.ai/free/en/papers/m-2021-abdelgwad-arabic-aspect-sentiment-polarity-classification/)** *(2021 · 60 citations)* The paper addresses aspect sentiment polarity classification for Arabic. Given a review and one of its aspects or targets, the system decides whether the opinion about that aspect is positive, negative or neutral. This corresponds to Task 3 of the SemEval-2016 ABSA setup. Earlier Arabic systems mostly fed static…

## Co-authors here

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

- [Mohammed M.Abdelgwad](https://md.research.elamur.ai/free/en/authors/mohammed-m-abdelgwad/) ×2
- [Taysir Hassan A Soliman](https://md.research.elamur.ai/free/en/authors/taysir-hassan-a-soliman/) ×2

## Cited by

Papers of our library cite their works 4 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/ahmed-i-taloba/cited-by/).