Items where Author is "Ahmed Muttaleb, Hasan"

Ali Muttaleb, Hasan and Noorhuzaimi@Karimah, Mohd Noor and Rassem, Taha H. and Ahmed Muttaleb, Hasan (2020) Knowledge-based semantic relatedness measure using semantic features. International Journal of Advanced Trends in Computer Science and Engineering, 9 (2). 914 -924. ISSN 2278-3091. (Published)

Ali Muttaleb, Hasan and Noorhuzaimi@Karimah, Mohd Noor and Rassem, Taha H. and Ahmed Muttaleb, Hasan and Hammood, Waleed A. (2020) A combined weighting for the feature-based method on topological parameters in semantic taxonomy using social media. In: 6th International Conference on Software Engineering & Computer Systems (ICSECS 2019) , 25-27 September 2019 , Kuantan, Pahang, Malaysia. pp. 1-11., 769. ISSN 1757-8981 (Print); 1757-899X (Online) (Published)

Ali Muttaleb, Hasan and Noorhuzaimi@Karimah, Mohd Noor and Rassem, Taha H. and Ahmed Muttaleb, Hasan (2020) A proposed method using the semantic similarity of WordNet 3.1 to handle the ambiguity to apply in social media text. In: Information Science and Applications: 10th International Conference on Information Science and Applications (ICISA 2019) , 16-18 December 2019 , Seoul, South Korea. pp. 471-483., 621. ISSN 1876-1100 ISBN 978-981151464-7 (Published)

Ali Muttaleb, Hasan and Rassem, Taha H. and Noorhuzaimi@Karimah, Mohd Noor and Ahmed Muttaleb, Hasan (2020) A semantic taxonomy for weighting assumptions to reduce feature selection from social media and forum posts. In: 4th International Conference of Reliable Information and Communication Technology, IRICT 2019 , 22-23 September 2019 , Johor Bahru, Malaysia. pp. 407-419., 1073. ISSN 2194-5357 ISBN 978-303033581-6 (Published)

Ali Muttaleb, Hasan and Noorhuzaimi@Karimah, Mohd Noor and Rassem, Taha H. and Shahrul Azman, Mohamed Noah and Ahmed Muttaleb, Hasan (2019) A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text. In: 10th Icatse International Conference on Information Science and Applications 2019 , 16 - 18 Disember 2019 , Seoul, Korea. pp. 471-483., 621. ISBN Online 978-981-15-1465-4 (Published)