Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fahd Alqasemi"'
Publikováno v:
مجلة جامعة صنعاء للعلوم التطبيقية والتكنولوجيا. 1
The field of sentiment analysis of Arabic scripts remains a major challenge due to the features, characteristics, and complexity of the Arabic language. Few studies on Arabic Sentiment Analysis (ASA) have been conducted to the best of our knowledge w
Publikováno v:
2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA).
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Autor:
Fahd Alqasemi, Mohammad Albazel, Amal Aqlan, Mohammed Hadwan, Salah Al-Hagree, Maher Al-Sanabani
Publikováno v:
2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA).
This research reviewed the different steganography techniques used to hide secrets within Arabic text. In this paper, we aim to provide an overview of Arabic text steganography techniques from literature and previous studies that used Arabic language
Autor:
Mohammed Hadwan, Muneer Alsurori, Fahd Alqasemi, Zakaria Aljaberi, Amal Aqlan, Salah Al-Hagree
Publikováno v:
2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA).
Birthrates forecasting can help decision-makers to understand population increment patterns, in addition to many issues that support governmental decisions, especially in developing countries as Yemen. Data Mining has important new emerged technologi
Autor:
Fahd Alqasemi, Salah Al-Hagree, Mohammed Hadwan, Amal Aqlan, Muneer Alsurori, Sarah Abdulmalek
Publikováno v:
2021 International Conference of Technology, Science and Administration (ICTSA).
Survey research is one of the important types of scientific research needed to address the advancement in specific research areas. In this paper, we aim to provide a critical review of name-matching algorithms related to Levenstein's algorithm used i
Autor:
Amal Aqlan, Fahd Alqasemi, Zahraa Almotwakl, Salah Al-Hagree, Mohammed Hadwan, Khaled M. A. Alalayah
Publikováno v:
2021 International Conference of Technology, Science and Administration (ICTSA).
In recent years, Educational Data Mining (EDM) is a new field that has been employed for extracting intrinsic educational new facts. EDM has become a hot topic in the field of educational informatics. In this paper we had applied clustering analysis
Publikováno v:
International Journal of Computers and Applications. 41:129-139
Web textual data content is a viable source for decision-makers’ knowledge, so are text analytic applications. Sentiment analysis (SA) is one of text mining fields, in which text is analyzed to rec...