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Walaa Medhat is an assistant professor at Nile University. She has a Ph.D., M.Sc. and BA degree in computer systems from faculty of engineering, at Ain Shams University. She is an expert in data mining, text mining and natural language processing. She worked at Benha University and was a consultant in MIS unit, the Supreme Council of Universities. Her main research fields are in NLP and software engineering.
A HYBRID RECOMMENDER FRAMEWORK FOR SELECTING A COURSE REFERENCE BOOKS
Recommender systems are receiving great attention these days, as various researchers and major companies are conducting continuous research in this field. Companies like Google and Amazon have provided different effective models for video recommendation systems, but the educational field is poorly studied as other researchers explained. Different researchers proposed various approaches showing the
Arabic fake news detection using deep learning
Nowadays, an unprecedented number of users interact through social media platforms and generate a massive amount of content due to the explosion of online communication. However, because user-generated content is unregulated, it may contain offensive content such as fake news, insults, and harassment phrases. The identification of fake news and rumors and their dissemination on social media has
Diabetes Prediction Using Machine Learning: A Comparative Study
Diabetes is a common, metabolic disease, that results in a high level of blood sugar. Patients diagnosed with diabetes suffer from a body that cannot effectively use the insulin or cannot produce a sufficient amount of insulin. Providing a method of detection via symptoms that can be noticed by the patient can prompt the patient to seek medical assistance more promptly and in turn to be correctly
Impact of COVID-19 on Information Technology Sector in Egypt
Pandemics raise huge challenges yet brought several opportunities. The sudden attack of COVID-19 revealed the importance of the information technology (IT) applications. The Reliance on the IT sector has become imperative to ensure sustainability and to raise most sectors' performance efficiency, especially the services' ones. This study applied PESTEL analysis to evaluate the current status of IT
- Natural Language Processing (NLP)
- Data Mining
- Software Engineering
- Big Data Analytics