Hate speech has become increasingly prevalent on social media, raising concerns about its detection, interpretation, and moderation. Persian, a relatively low-resource language, lacks sufficient annotated data and computational resources for fine-grained hate speech analysis. In this study, we introduce a fine-grained,...
Ghazal Kalhor, Sima Kamandloo, Mehrsa Shamsian et al.· 0 citations
This paper presents a novel unsupervised GNN framework for the MDS problem that eliminates the need for ground-truth solutions during training, and achieves up to 55x faster inference than metaheuristic baselines and up to 14x faster inference than supervised learning approaches.
This study introduces a Transformer-driven modeling approach that jointly performs product recommendation and personalized price-level assignment by modeling observed discount-level acceptance as an operational proxy for consumers’ willingness to pay (WTP).
Ali Mahdavian, Hadi Moradi, B. Bahrak· Journal of Theoretical and A...· 0 citations
This work introduces PERCEPT, the first publicly available large-scale Persian-English code-mixed corpus annotated with Universal Dependencies POS tags for code-mixed words, and conducts the first comprehensive linguistic analysis of Persian-English code-mixing across multiple social media platforms.
Ghazal Kalhor, Zahra Jafari, Amirarsalan Shahbazi et al.· 0 citations
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