---
title: "Behrouz Minaei-Bidgoli — author profile and papers"
description: "Behrouz Minaei-Bidgoli: 2 papers on Elamur Research (2020–2023) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/behrouz-minaei-bidgoli/"
---
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# Behrouz Minaei-Bidgoli

2 papers on this site · 2020–2023

Behrouz Minaei-Bidgoli has 2 papers on this site, in 2020–2023, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/).

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[2 works on this site](https://md.research.elamur.ai/free/en/authors/behrouz-minaei-bidgoli/#papers) · [12 citations in our library](https://md.research.elamur.ai/free/en/authors/behrouz-minaei-bidgoli/cited-by/)

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=Behrouz+Minaei-Bidgoli) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Behrouz+Minaei-Bidgoli) · [dblp](https://dblp.org/search?q=Behrouz+Minaei-Bidgoli) · [ACL Anthology](https://aclanthology.org/search/?q=Behrouz+Minaei-Bidgoli)

## Topics

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/ataei-2020-applying-transformers-aspect-based-sentiment/)** *(2020 · 56 citations)* This paper addresses sarcasm detection in social media conversations, where an ironic reply can reverse the apparent sentiment of a message and mislead opinion-mining systems.
2. **[Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain](https://md.research.elamur.ai/free/en/papers/alshuhayeb-2023-noor-ghateh-benchmark-dataset-evaluating/)** *(2023 · 1 citation)* The paper tackles the lack of morphologically annotated resources for classical religious Arabic, specifically Hadith texts.

## Cited by

Papers of our library cite their works 12 times (of the 140 884 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/behrouz-minaei-bidgoli/cited-by/).