This work shows that specialization can outweigh scale in the case of small, low-resourced dialects and highlights the significance of investments into gathering resources for them.
This study provides universities with a stable, easily implementable system to track student feedback and fuel data-driven innovations, which utilizes EduDarijaBERT—a transformer model explicitly fine-tuned on this academic domain.
Abderrahim Ait Ichou, Ali Ouacha· International Journal of Adv...· 0 citations
This survey introduced a comprehensive systematic review of ASA research from 2018 to 2025, analyzing over 70 peer-reviewed studies and proposing future directions including cross-lingual transfer learning, multimodal sentiment analysis, domain-specific ASA applications.
Ola Adnan Altiti· International journal of com...· 0 citations
This study successfully proposes a Long Short-Term Memory (LSTM)-based model for automatic classification of Indonesian regional song lyrics by language, demonstrating that LSTM effectively captures sequential linguistic patterns and contextual relationships within regional languages.
Muhammad Rizky, Anandita Priatama, Aviv Yuniar Rahman et al.· Buana Information Technology...· 0 citations
A bidirectional Mamba encoder pretrained via masked language modeling on a corpus combining Arabic Wikipedia and CulturaX text is introduced, trained end-to-end on four consumer-grade NVIDIA RTX 2080Ti GPUs (11GB) over approximately ten days.
A unified End-to-End (E2E) framework for Arabic ABSA based on the newly introduced dataset and the Arabic ABSA hotels dataset is proposed, where aspect term extraction and sentiment classification are integrated into a single sequence labeling task.
Fatiha Tebbani, C. Kara-Mohamed, A. Hamdi-Cherif· Journal of King Saud Univers...· 0 citations
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