Please, cite the following papers if you utilize the resources in this project:
- Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Huda Al-Sarhan and Yaser Jararweh. Using Aspect-Based Sentiment Analysis to Evaluate Arabic News Affect on Readers. In the 8th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2015.
- Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Huda Al-Sarhan and Yaser Jararweh. An Aspect-Based Sentiment Analysis Approach to Evaluating Arabic News Affect on Readers. Journal of Universal Computer Science (JUCS) 22(5): 630-649, May 2016.
- Huda Al-Sarhan, Majd Al-So'ud, Mohammad Al-Smadi and Mahmoud Al-Ayyoub. Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study. In the 7th International Conference on Information and Communication Systems (ICICS), 2016.
- Mahmoud Al-Ayyoub, Huda Al-Sarhan, Majd Al-So'ud, Mohammad Al-Smadi and Yaser Jararweh. Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study. Submitted to Journal of Universal Computer Science (JUCS). To appear.