Predicting customer sentiment: the fusion of deep learning and a fuzzy system for sentiment analysis of Arabic text.

Autor: Ambreen, Shela, Iqbal, Muhammad, Asghar, Muhammad Zubair, Mazhar, Tehseen, Khattak, Umar Farooq, Khan, Muhammad Amir, Hamam, Habib

Publikováno v: Social Network Analysis & Mining; 10/15/2024, Vol. 14 Issue 1, p1-23, 23p

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN).

Autor: Khan MA; School of Computing Sciences, College of Computing, Informatics, and Mathematics, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia., Mazhar T; Department of Computer Science and Information Technology, School Education Department,Government of Punjab, Layyah 31200, Pakistan. tehseenmazhar719@gmail.com., Mateen Yaqoob M; Department of AI and Data Science, FAST-National university of Computer and emerging sciences, Islamabad, Pakistan., Badruddin Khan M; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia. mbkhan@imamu.edu.sa., Jilani Saudagar AK; Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia., Ghadi YY; Department of Computer Science and Software Engineering, Al Ain University, Abu Dhabi, 12555, United Arab Emirates., Khattak UF; School of Information Technology, UNITAR International University, Kelana Jaya, 47301, Petaling Jaya, Malaysia., Shahid M; Department of Computer Science, IIC University of Technology, Phnom Penh, 121206, Cambodia.

Publikováno v: Scientific reports [Sci Rep] 2024 Oct 31; Vol. 14 (1), pp. 26241. Date of Electronic Publication: 2024 Oct 31.