Aali Alqarni

Aali Alqarni

PhD student and Research Associate at the Artificial Intelligence & Robotics Institute at KACST (Riyadh,Saudi Arabia)

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Pages

Posts

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

publications

Do Words with Certain Part of Speech Tags Improve the Performance of Arabic Text Classification?

Published in 2nd International Conference on Information System and Data Mining (ICISDM ’18), 2018

Investigation of the performance of Arabic text classification when Part of Speech (POS) tagging information is used to extract features suggests that the words achieved the best classification performance

Recommended citation: Al-Thubaity, A.O., Alqarni, A., & Alnafessah, A. (2018). Do Words with Certain Part of Speech Tags Improve the Performance of Arabic Text Classification? International Conference on Information System and Data Mining. http://aaalqarni.github.io/files/Paper_1.pdf

YouTube Sentiment Analysis: Performance Model Evaluation

Published in Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0), 2023

In this chapter, we proposed a sentiment analysis model evaluation, based on seven machine learning classifiers, to select the most effective classifiers for analysing YouTube’s comments.

Recommended citation: Alsanoosy, T., Alqarni, A. (2023). YouTube Sentiment Analysis: Performance Model Evaluation. In: Yafooz, W.M.S., Al-Aqrabi, H., Al-Dhaqm, A., Emara, A. (eds) Kids Cybersecurity Using Computational Intelligence Techniques. Studies in Computational Intelligence, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-031-21199-7_19

A Comparative Analysis for GPA Prediction of Undergraduate Students Using Machine and Deep Learning

Published in International Journal of Information and Education Technology, 2024

In this paper, we demonstrate the application of Machine Learning to enhance the educational processes

Recommended citation: alnomay, Ibrahim; Alfadhly, Abdullah; Alqarni, Aali .(2024). A Comparative Analysis for GPA Prediction of Undergraduate Students Using Machine and Deep Learning. International Journal of Information and Education Technology. [http://academicpages.github.io/files/paper3.pdf](https://www.ijiet.org/show-200-2670-1.html)