It aims to detect each aspect evoked in a text and the sentiment associated to each of them. For English language, many works using Pre-Trained Models (PTM) ...
We focus on aspect target sentiment analysis and we propose an ABSA using French PTM like multilingual BERT (mBERT), CamemBERT and FlauBERT. Three different ...
This work proposes an ABSA using French PTM like multilingual BERT, CamemBERT and FlauBERT, which outperforms the state-of-the-art French ABSA methods and ...
Essebbar et al. (2021) present an ABSA using French pre-trained models (PTM): mBERT, Camem-BERT, and FlauBERT. In addition, three fine-tuning techniques were ...
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This article describes two datasets for the development and testing of ABSA systems for French which comprise user reviews annotated with relevant entities.
In this paper, we investigate the performance of zero-shot cross-lingual transfer learning based on pre-trained multilingual models (mBERT and XLM-R)
May 29, 2024 · This paper presents a novel Deep Convolutional Neural Network (CNN)-based model tailored for aspect and polarity classification in Hausa movie reviews.
can be used to fill the gap that exists about efficient. methods for aspect detection in French language. During our study, we observed that using a CRF.
In this paper, we focus on the zero-shot and joint training cross-lingual transfer task for the ABSA. We fine-tune the latest pre-trained multilingual language ...
Dec 28, 2023 · Aspect-based sentiment analysis (ABSA) aims at automatically extracting aspects of entities and classifying the polarity of each extracted ...