Stance Detection in Persian Social Media Using Deep Learningتشخیص موضع در شبکه‌های اجتماعی فارسی با یادگیری عمیق

At the _International Conference on Artificial Intelligence and Future Civilization_ (Tehran, Jan 2025) I presented work on **stance detection in Persian social media using a deep learning approach**. Stance detection — deciding whether a text is in favor of, against, or neutral toward a target — is harder in Persian due to code-mixing and sarcasm. Our approach uses neural representations tuned for the Persian context and shows clear gains over lexicon baselines. This is part of a broader line of research on semantic relationships and classification combinations for Persian text.