57 citations · 65 across the 4 of their papers we have counts for
5 papers
An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
Walid Mohamed Aly, Taysir Hassan A. Soliman, Amr Mohamed AbdelAziz
Large Language Models (LLMs) continue to advance natural language processing with their ability to generate human-like text across a range of tasks. Despite the remarkable success…
Identifying Difficult exercises in an eTextbook Using Item Response Theory and Logged Data Analysis
Ahmed Abd Elrahman, Ahmed I. Taloba, Mohammed F. Farghally +1
The growing dependence on eTextbooks and Massive Open Online Courses (MOOCs) has led to an increase in the amount of students' learning data. By carefully analyzing this data, educ…
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook
Ahmed Abd Elrahman, Taysir Hassan A Soliman, Ahmed I. Taloba +1
With the rise of online eTextbooks and Massive Open Online Courses (MOOCs), a huge amount of data has been collected related to students' learning. With the careful analysis of thi…
Arabic aspect sentiment polarity classification using BERT
Mohammed M. Abdelgwad, Taysir Hassan A Soliman, Ahmed I. Taloba
Aspect-based sentiment analysis(ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of resear…
Arabic aspect based sentiment analysis using bidirectional GRU based models
Mohammed M. Abdelgwad, Taysir Hassan A Soliman, Ahmed I. Taloba +1
Aspect-based Sentiment analysis (ABSA) accomplishes a fine-grained analysis that defines the aspects of a given document or sentence and the sentiments conveyed regarding each aspe…