Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

<h3>Background</h3><p dir="ltr">Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods f...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Alaa Abd-alrazaq (17058018) (author)
مؤلفون آخرون:	Abdulqadir J Nashwan (17991280) (author), Zubair Shah (231886) (author), Ahmad Abujaber (9100064) (author), Dari Alhuwail (6497858) (author), Jens Schneider (16885948) (author), Rawan AlSaad (14159019) (author), Hazrat Ali (421019) (author), Waleed Alomoush (19325926) (author), Arfan Ahmed (17541309) (author), Sarah Aziz (17541312) (author)
منشور في:	2024
الموضوعات:	Health sciences Epidemiology Public health Information and computing sciences Machine learning research gap research topic research topics scientific literature literature review machine learning COVID-19 BERTopic topic clustering text analysis BERT NLP natural language processing review methods review methodology SARS-CoV-2 coronavirus
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

مواد مشابهة