تحسين اكتشاف الآثار الجانبية للقاحات على وسائل التواصل الاجتماعي من خلال استخدام زيادة بيانات التدريب باستخدام نماذج اللغة الضخمة
DOI:
https://doi.org/10.65568/gujes.2026.020112الكلمات المفتاحية:
النماذج اللغوية الضخمة، اكتشاف الاثار الجانبية للقاحات، زيادة بيانات الاختبارالملخص
تقيّم هذه الورقة البحثية أثرَ زيادة البيانات الاصطناعية على أداء رصد ردود الفعل الشخصية تجاه اللقاحات في منشورات وسائل التواصل الاجتماعي. تستند دراستنا إلى مشاركة فريق جامعة طرابلس في المهمة السادسة من المهمة المشتركة العاشرة لمؤتمر التنقيب في وسائل التواصل الاجتماعي من أجل الصحة (#SMM4H). ومن خلال وضع خط أساس عبر ضبط ستة نماذج لغوية كبيرة (LLMs)، نحلل كيفية تأثير زيادة مجموعة التدريب بأمثلة مُولّدة اصطناعياً على مقاييس التصنيف. تُظهر تجربتنا أن زيادة البيانات الاصطناعية تُحسّن الأداء بشكل ملحوظ في جميع النماذج، مع فائدة إضافية للنماذج الصغيرة.
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التنزيلات
منشور
النسخ
- 2026-03-16 (2)
- 2026-03-15 (1)
إصدار
القسم
الرخصة
الحقوق الفكرية (c) 2026 مجلة جامعة غريان للعلوم الهندسية
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