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Enhancing Transformer-Based Sentiment Analysis for the Rest-Mex 2025 Challenge: A Hybrid Strategy with Oversampling, Back-Translation, and Transformers

Muhammad Imran, Tayyab Rasheed, Carlos Gómez-Rodríguez. Enhancing Transformer-Based Sentiment Analysis for the Rest-Mex 2025 Challenge: A Hybrid Strategy with Oversampling, Back-Translation, and Transformers. In Salud María Jiménez Zafra, José Ángel González Barba, Luis Chiruzzo, Tania Alcántara, Miguel Ángel Álvarez Carmona, Elena Álvarez Mellado, Gemma Bel Enguix, Beatriz Botella Gil, Sabur Butt, Delia Irazú Hernández Farías, Émerson Philippe Lopes, Alba María Mármol-Romero, Arturo Montejo Ráez, Gabriel Mordecki, Jorge Osés Grijalba, Álvaro Rodrigo, Rafael Valencia-García, editors, Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2025) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2025), Zaragoza, Spain, September 23, 2025. Volume 4098 of CEUR Workshop Proceedings, CEUR-WS.org, 2025. [doi]

Authors

Muhammad Imran

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Tayyab Rasheed

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Carlos Gómez-Rodríguez

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