Search
Now showing items 1-5 of 5
Sentiment Analysis of Arabic Tweets on the Great March of Return using Machine Learning
(Universiti Utara Malaysia (UUM), 2021-02-01)
Social media platforms such as Twitter and Facebook are becoming powerful sources of people’s perception of major events. Most people use social media to express their views on various issues and events and develop their ...
Sentiment Analysis of Arabic Tweets Using Supervised Machine Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12)
The information momentum available on social media is an appropriate environment for identifying users' reactions and attitudes towards a particular topic, products, or any issues. To analyze this data and extract useful ...
Arabic opinion mining using combined classification approach
(Naif Arab University for Security Sciences, 2011)
In this paper, we present a combined approach that automatically extracts opinions from Arabic documents. Most research efforts in the area of opinion mining deal with English texts and little work with Arabic text. Unlike ...
Mining opinions in user-generated contents to improve course evaluation
(Springer, Berlin, Heidelberg, 2011)
The purpose of this paper is to show how opinion mining may offer an alternative way to improve course evaluation using students’ attitudes posted on Internet forums, discussion groups and/or blogs, which are collectively ...
Mining feature-opinion in educational data for course improvement
(The Society of Digital Information and Wireless Communication, 2011)
In academic institutions, student comments about courses can be considered as a significant informative resource to improve teaching effectiveness. This paper proposes a model that extracts knowledge from students' opinions ...