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Register a new userClassification of COVID19 tweets using Machine Learning Approaches
تصنيف CovID19 تويت باستخدام نهج التعلم الآلي
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يعد العمل المبلغ عنه وصف لمشاركتنا في تصنيف تغريدات CovID19 التي تحتوي على أعراض "مهمة مشتركة، نظمتها تعدين وسائل التواصل الاجتماعي للتطبيقات الصحية (SMM4H)" ورشة العمل.يصف الأدبيات نهجا لتعلم جهازين تم استخدامها لبناء نظام تصنيف من الدرجة الثلاثة، وهذا يصنف التغريدات المتعلقة CovID19، إلى ثلاث فصول، بزيادة، التقارير الذاتية، والتقارير غير الشخصية، وأدب / إخباري.يتم وصف خطوات تغريدات المعالجة المسبقة، واستخراج ميزة، وتطوير نماذج تعلم الجهاز، على نطاق واسع في الوثائق.حصل كل من نماذج التعلم المتقدمة، عند تقييمه من قبل المنظمين، عشرات F1 من 0.93 و 0.92 على التوالي.
The reported work is a description of our participation in the Classification of COVID19 tweets containing symptoms'' shared task, organized by the Social Media Mining for Health Applications (SMM4H)'' workshop. The literature describes two machine learning approaches that were used to build a three class classification system, that categorizes tweets related to COVID19, into three classes, viz., self-reports, non-personal reports, and literature/news mentions. The steps for pre-processing tweets, feature extraction, and the development of the machine learning models, are described extensively in the documentation. Both the developed learning models, when evaluated by the organizers, garnered F1 scores of 0.93 and 0.92 respectively.
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