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.