StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic
<p dir="ltr">In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May 2021, using the Twitter API. The tweets were manu...
محفوظ في:
| المؤلف الرئيسي: | Omama Hamad (21363476) (author) |
|---|---|
| مؤلفون آخرون: | Ali Hamdi (13432680) (author), Sayed Hamdi (21363479) (author), Khaled Shaban (20074425) (author) |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Stance detection in Arabic with a multi-dialectal cross-domain stance corpus
حسب: Anis Charfi (18697357)
منشور في: (2024) -
Are authorities denying or supporting? Detecting stance of authorities towards rumors in Twitter
حسب: Fatima Haouari (17100181)
منشور في: (2024) -
An efficient approach for textual data classification using deep learning
حسب: Abdullah Alqahtani (7128143)
منشور في: (2022) -
Benchmarking Concept Drift Detectors for Online Machine Learning
حسب: Mahgoub, Mahmoud
منشور في: (2022) -
A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
حسب: Abu Zitar, Raed
منشور في: (2022)