Meet XLM-RLnews-8: Not just another sentiment analysis model
Although automatic sentiment analysis has been widely studied in the past decade, multilingualism remains an issue impairing real-life applications. This paper describes the development and evaluation of XLM-RLnews-8, a model based on XLM-RoBERTa-Large, domain-adapted using a novel dataset of multilingual news articles and fine-tuned for the tripartite sentiment analysis task. In addition, it provides a quantitative analysis of the Unified Multilingual Sentiment Analysis Benchmark, the dataset used for the fine-tuning and the in-domain evaluation. The model is also out-of-domain evaluated, on the IMDb dataset and a new multilingual news headlines silver dataset, and its performance is compared with current State-of-the-Art multilingual models.
DI NUOVO Elisa;
CARTIER Emmanuel;
DE LONGUEVILLE Bertrand;
2025-07-23
SPRINGER-VERLAG BERLIN
JRC137542
1611-3349 (online),
https://link.springer.com/chapter/10.1007/978-3-031-70242-6_3,
https://publications.jrc.ec.europa.eu/repository/handle/JRC137542,
10.1007/978-3-031-70242-6_3 (online),
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