2023
doi: 10.12720/jait.14.4.769-776
Data Mining for Managing and Using Online Information on Facebook
Nidal Al Said
- College of Mass Communication, Ajman University, Ajman, United Arab Emirates
- Manuscript receivedDecember 29, 2022
- revisedFebruary 13, 2023
- acceptedMarch 27, 2023
- publishedAugust 3, 2023
Abstract
The problem under the study of this work is investigating data mining algorithms for intelligent analysis of data written in Arabic. The study comprised instead involves several stages, including Data Collection and Pre-Processing; Data Mining Algorithms (Multinomial Naïve Bayes Classifier, Naïve Bayes Classifier, Support Vector Machine and Modified K-Means); Study Results Processing and Software Implementation. A total of 16,732 Facebook posts written exclusively in Arabic were downloaded. Almost two-thirds of them (namely 11,155 items) were used to train algorithms, while the rest (5577 items) were subject to research. The training data were categorized into five groups based on subjects (politics, entertainment, medicine, science, and religion) with five
Keywords
- social networks
- data mining
- classification
- accuracy
- multinomial naive Bayes classifier
How to Cite
Nidal Al Said, "Data Mining for Managing and Using Online Information on Facebook," Journal of Advances in Information Technology, vol. 14, no. 4, pp. 769-776, 2023. https://doi.org/10.12720/jait.14.4.769-776
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
