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Rasha Obeidat
PeerJ Author & Reviewer
215 Points

Contributions by role

Author 135
Reviewer 80

Contributions by subject area

Data Mining and Machine Learning
Natural Language and Speech
Network Science and Online Social Networks
Social Computing
Neural Networks
Artificial Intelligence
Data Science
Algorithms and Analysis of Algorithms
Sentiment Analysis
Text Mining

Rasha Obeidat

PeerJ Author & Reviewer

Summary

Rasha Obeidat has been an assistant professor at the Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan, since 2019. She received her Ph.D. in Computer Science from Oregon State University, Corvallis, OR, in 2019 and her M.S. degree from Jordan University of Science and Technology in 2010. Her general research interests are artificial intelligence, machine learning, deep learning, and Natural language Processing. Much of her work has been on applying deep learning and machine learning techniques for social media data analytics, medical diagnosis, and urban planning. She has been involved in social media data analytics in several research projects, including fake news and propaganda detection, sentiment analysis and topic modeling. Besides, she is actively working on improving several NLP tasks for the Arabic text, including Question answering, textual entailment and dialectical Arabic machine translation. She reviewed several manuscripts for highly impacted journals such as Peerj Computer Science and Machine Learning. Besides, she served as a chair of the NLP track in ICICS2022. She also serves regularly on the program committee for several international Information Technology and Computer Science conferences, such as AAAI, ICICS and ICNLSP.

Data Mining & Machine Learning Data Science Natural Language & Speech Network Science & Online Social Networks Neural Networks

Past or current institution affiliations

Jordan University of Science and Technology

PeerJ Contributions

  • Articles 1
  • Reviewed 1
December 5, 2022
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, Yara Alharahsheh
https://doi.org/10.7717/peerj-cs.1151

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

August 23, 2023
A sentiment analysis approach for travel-related Chinese online review content
Hanyun Li, Wenzao Li, Jiacheng Zhao, Peizhen Yu, Yao Huang
https://doi.org/10.7717/peerj-cs.1538