Text mining: A survey of Arabic root extraction algorithms

Abstract

In all Arab countries, the Arabic language is the official language spoken and written and is one of the oldest known languages. This paper aims to explain and discuss the work done on extracting the root of the Arabic word and Stemming algorithms. Text mining has become of interest to scientists, researchers, and users because of the existence of big data and deep learning algorithms that can analyze giant sets of unstructured data. The basic algorithms are used to extract and classify texts, information retrieval systems, and indexes. Algorithms are used to extract the root of a word from different natural languages. This paper will present a brief background and comprehensive presentation of a number of algorithms that handle the Arabic text to extract the word root in its light, heavy, hybrid, leading, and Markovian form. There are a number of papers, articles, and research papers that deal with extracting the Arabic root from the word. This paper will present a brief background for a number of stemming algorithms on how to extracting the root and stem of the Arabic word, then make a comparison and discussion of a number of selected algorithms in terms of accuracy, data set, method of stemming regarding of strengths and weakness.

A Survey of Arabic Root Extraction Algorithms

“…• Machine Translation: Extracting roots can improve the performance of machine translation systems by allowing them to better understand the meaning of words in the source language and generate more accurate translations [14].…”

“…Statistical methods do not require prior language knowledge, predefined rules, or a vocabulary database, while morphological methods are more efficient for complex words not listed in dictionaries. Hamza M. et al [14] explore and analyze the research conducted on Arabic word root extraction and stemming algorithms. It provides a background and in-depth examination of several algorithms that extract the root of Arabic words in light, heavy, hybrid, leading, and Markovian forms.…”

New Arabic Root Extraction Algorithm

“…The study presents innovative methods and techniques for analyzing the morphological structure of Arabic language, contributing to the field of Arabic language processing and related applications. Hamza, Ahmed, and Hilal provide an overview of Arabic root extraction algorithms in the field of text mining [23]. The study explores various algorithms and techniques used for extracting roots from Arabic texts, highlighting their strengths and limitations.…”