@inproceedings{poswiata-etal-2025-unveiling,
title = "Unveiling Dual Quality in Product Reviews: An {NLP}-Based Approach",
author = "Po{\'s}wiata, Rafa{\l} and
Miro{\'n}czuk, Marcin Micha{\l} and
Dadas, S{\l}awomir and
Gr{\k{e}}bowiec, Ma{\l}gorzata and
Pere{\l}kiewicz, Micha{\l}",
editor = "Rehm, Georg and
Li, Yunyao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-industry.105/",
doi = "10.18653/v1/2025.acl-industry.105",
pages = "1480--1497",
ISBN = "979-8-89176-288-6",
abstract = "Consumers often face inconsistent product quality, particularly when identical products vary between markets, a situation known as the dual quality problem. To identify and address this issue, automated techniques are needed. This paper explores how natural language processing (NLP) can aid in detecting such discrepancies and presents the full process of developing a solution. First, we describe in detail the creation of a new Polish-language dataset with 1,957 reviews, 540 highlighting dual quality issues. We then discuss experiments with various approaches like SetFit with sentence-transformers, transformer-based encoders, and LLMs, including error analysis and robustness verification. Additionally, we evaluate multilingual transfer using a subset of opinions in English, French, and German. The paper concludes with insights on deployment and practical applications."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="poswiata-etal-2025-unveiling">
<titleInfo>
<title>Unveiling Dual Quality in Product Reviews: An NLP-Based Approach</title>
</titleInfo>
<name type="personal">
<namePart type="given">Rafał</namePart>
<namePart type="family">Poświata</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marcin</namePart>
<namePart type="given">Michał</namePart>
<namePart type="family">Mirończuk</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sławomir</namePart>
<namePart type="family">Dadas</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Małgorzata</namePart>
<namePart type="family">Grębowiec</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Michał</namePart>
<namePart type="family">Perełkiewicz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Georg</namePart>
<namePart type="family">Rehm</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yunyao</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Vienna, Austria</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-288-6</identifier>
</relatedItem>
<abstract>Consumers often face inconsistent product quality, particularly when identical products vary between markets, a situation known as the dual quality problem. To identify and address this issue, automated techniques are needed. This paper explores how natural language processing (NLP) can aid in detecting such discrepancies and presents the full process of developing a solution. First, we describe in detail the creation of a new Polish-language dataset with 1,957 reviews, 540 highlighting dual quality issues. We then discuss experiments with various approaches like SetFit with sentence-transformers, transformer-based encoders, and LLMs, including error analysis and robustness verification. Additionally, we evaluate multilingual transfer using a subset of opinions in English, French, and German. The paper concludes with insights on deployment and practical applications.</abstract>
<identifier type="citekey">poswiata-etal-2025-unveiling</identifier>
<identifier type="doi">10.18653/v1/2025.acl-industry.105</identifier>
<location>
<url>https://aclanthology.org/2025.acl-industry.105/</url>
</location>
<part>
<date>2025-07</date>
<extent unit="page">
<start>1480</start>
<end>1497</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
%A Poświata, Rafał
%A Mirończuk, Marcin Michał
%A Dadas, Sławomir
%A Grębowiec, Małgorzata
%A Perełkiewicz, Michał
%Y Rehm, Georg
%Y Li, Yunyao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-288-6
%F poswiata-etal-2025-unveiling
%X Consumers often face inconsistent product quality, particularly when identical products vary between markets, a situation known as the dual quality problem. To identify and address this issue, automated techniques are needed. This paper explores how natural language processing (NLP) can aid in detecting such discrepancies and presents the full process of developing a solution. First, we describe in detail the creation of a new Polish-language dataset with 1,957 reviews, 540 highlighting dual quality issues. We then discuss experiments with various approaches like SetFit with sentence-transformers, transformer-based encoders, and LLMs, including error analysis and robustness verification. Additionally, we evaluate multilingual transfer using a subset of opinions in English, French, and German. The paper concludes with insights on deployment and practical applications.
%R 10.18653/v1/2025.acl-industry.105
%U https://aclanthology.org/2025.acl-industry.105/
%U https://doi.org/10.18653/v1/2025.acl-industry.105
%P 1480-1497
Markdown (Informal)
[Unveiling Dual Quality in Product Reviews: An NLP-Based Approach](https://aclanthology.org/2025.acl-industry.105/) (Poświata et al., ACL 2025)
ACL
- Rafał Poświata, Marcin Michał Mirończuk, Sławomir Dadas, Małgorzata Grębowiec, and Michał Perełkiewicz. 2025. Unveiling Dual Quality in Product Reviews: An NLP-Based Approach. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), pages 1480–1497, Vienna, Austria. Association for Computational Linguistics.