Arabic Text Categorization using Machine Learning Approaches
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 3
Abstract
Arabic Text categorization is considered one of the severe problems in classification using machine learning algorithms. Achieving high accuracy in Arabic text categorization depends on the preprocessing techniques used to prepare the data set. Thus, in this paper, an investigation of the impact of the preprocessing methods concerning the performance of three machine learning algorithms, namely, Na¨ıve Bayesian, DMNBtext and C4.5 is conducted. Results show that the DMNBtext learning algorithm achieved higher performance compared to other machine learning algorithms in categorizing Arabic text.
Authors and Affiliations
Riyad Alshammari
Keywords
Related Articles
- EP ID EP278262
- DOI 10.14569/IJACSA.2018.090332
- Views 90
- Downloads 0
A Modular Aspect-Oriented Programming Approach of Join Point Interfaces
This paper describes and analyzes the main differ-ences and advantages of the Join Point Interfaces (JPI) as an Aspect-Oriented Programming (AOP) approach for the modular software production concerning the standard aspec...
Probabilistic Distributed Algorithm for Uniform Election in Triangular Grid Graphs
Probabilistic algorithms are designed to handle problems that do not admit deterministic effective solutions. In the case of the election problem, many algorithms are available and applicable under appropriate assumption...
Enhanced K-mean Using Evolutionary Algorithms for Melanoma Detection and Segmentation in Skin Images
Nowadays, Melanoma has become one of the most significant public health concerns. Malignant Melanoma (MM) is considered the most rapidly spreading type of skin cancer. In this paper, we have built models for detection, s...
Improved Accuracy of PSO and DE using Normalization: an Application to Stock Price Prediction
Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various al...
Development of Prediction Model for Endocrine Disorders in the Korean Elderly Using CART Algorithm
The aim of the present cross-sectional study was to analyze the factors that affect endocrine disorders in the Korean elderly. The data were taken from the A Study of the Seoul Welfare Panel Study 2010. The subjects were...