Analysis and implementation of computer-based system development of stemming algorithm for finding Arabic root word

Abstract

At present many experts in the field of information technology have designed and developed algorithms to solve stemming problems, especially in Arabic. But of the many stemming analyses in Arabic, there is no standardization of a good stemming algorithm in analysing the accuracy of the text in the Koran. The development of stemming in the Koran is significant to work because it supports the Sharaf classification in the Koran to understand the meaning of every word in the Qur’an. One stemmer or stemming an algorithm to find the primary form of an Arabic word is the Khoja Stemmer algorithm. The way of working from Khoja Stemmer is to try to find the root of an Arabic word by removing the longest prefix and the longest suffix of a word, then try to determine the root of the remaining words using the root word dictionary. In this study, the Khoja Stemmer built was able to calculate the average stemming of the Koran by 95.295%. But the root words produced by Khoja Stemmer if manually checked, there are still several errors. Thus, an Al-Quran dictionary is needed to analyse each stemming result conducted by Khoja stemmer in stemming the Koran.

Evaluation of Different Stemming Techniques on Arabic Customer Reviews

“…To find the word's root, it then compares the remaining words to nouns (nouns) and linguistic patterns. After eliminating the biggest prefix and suffix from the word, the algorithm compares the remaining portion of the word with its verbal and nominal patterns to determine the root [40][41][42]. Snowball Stemmer: This derivation algorithm, sometimes referred to as the porter2 derivation algorithm, is an improvement on the Porter Stemmer algorithm because several of its flaws have been Tashaphyne Stemmer: It is a light Arabic derivative and syllable [43].…”