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Review Open access Aug 2026

Engineering context-based keywords from sentiment and domain features for enhanced review-level sentiment classification in MOOCs

Massive Open Online Courses (MOOCs) generate large volumes of learner feedback that provide valuable insights for educational improvement. However, the domain-specific language used in these reviews often limits the effectiveness of conventional sentiment analysis methods. To address this issue, this study proposes a c...

Raed Kamil Naser, Keng Gan, Alaa Thamer Mahmood · 0 citations
Open access Aug 2026

Linguistic markers of deception in Arabic news headlines: A cross-corpus study of stylistic and numeric features

This study investigates automatic fake-news detection using Arabic headlines, leveraging five heterogeneous corpora and their unified combination, and proposes a late-fusion strategy coupling transformer representations with discriminative engineered features.

Eman Salamah Albtoush, Keng Gan, S. A. Alrababah · 0 citations

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