loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Asma Ameur 1 ; 2 ; Sana Hamdi 2 and Sadok Ben Yahia 3

Affiliations: 1 Polytechnic School of Tunisia, Tunisia ; 2 Faculty of Sciences of Tunis, Tunisia ; 3 Tallinn University of Technology, Estonia

Keyword(s): Aspect Detection, Contextual Embedding, AraBERT, Imbalanced Data, Arabic Hotel Reviews.

Abstract: Studying people’s satisfaction with social media is vital to understanding the users’ needs. Nowadays, textual hotel reviews are used to evaluate the hotel’s e-reputation. In this context, we are interested in Aspect Category Detection (ACD) as a subtask of aspect-based sentiment analysis. This task needs to be investigated through multi-label classification, which is more challenging, in natural language processing, than single-label classification. Our study leverages the potential of transfer learning with the pre-trained AraBERT model for contextual text representation. We are based on the Arabic SemEval-2016 data set for hotel reviews. We propose a specific preprocessing for this Arabic reviews dataset to improve the performance. In addition, as this data suffers from an imbalanced distribution, we use a dynamically weighted loss function approach to deal with imbalanced classes. The carried-out results outperform the pioneering state-of-the-art of the Arabic ACD with an F1 scor e of 67:3%. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.12.108.69

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ameur, A.; Hamdi, S. and Ben Yahia, S. (2023). Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 241-250. DOI: 10.5220/0011694800003393

@conference{icaart23,
author={Asma Ameur. and Sana Hamdi. and Sadok {Ben Yahia}.},
title={Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2023},
pages={241-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011694800003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT
SN - 978-989-758-623-1
IS - 2184-433X
AU - Ameur, A.
AU - Hamdi, S.
AU - Ben Yahia, S.
PY - 2023
SP - 241
EP - 250
DO - 10.5220/0011694800003393
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic