تحقق هذه الورقة في دمج مصادر المعرفة الجودة التي طورها خبراء المجال الطبي وكذلك المعلومات الأساسية لتصنيف التغريدات إلى أربع فئات مختلفة موجهة نحو الصحة.ندعي أن موارد مثل التسلسل الهرمي للشبكة والمعلومات المتاحة حاليا هي ملحقات فعالة من مجموعات بيانات التدريب المعتدلة لمختلف مهام تصنيف سقسقة الرحلات الدقيقة للمشكلات الصحية المبلغ عنها ذاتيا.
This paper investigates incorporating quality knowledge sources developed by experts for the medical domain as well as syntactic information for classification of tweets into four different health oriented categories. We claim that resources such as the MeSH hierarchy and currently available parse information are effective extensions of moderately sized training datasets for various fine-grained tweet classification tasks of self-reported health issues.
References used
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