Arabic Document Clustering: A Survey

Arabic language significance is continuously growing due to economic advancements and the textual content of the Internet nowadays. As Arabic documents become more widely available on the Internet, Arabic document clustering becomes an essential topic in information retrieval and mining. Electronic Arabic documents are growing daily, making a clustering procedure based on humans impractical. Effective and efficient electronic search algorithms are necessary to make clustering easier and more accurate information retrieval possible. The purpose of this work is to provide a thorough examination of the algorithms and strategies utilized for clustering digitized Arabic texts. The paper presents a critical and constructive analysis of existing published literature in Arabic document clustering through summary, classification, analysis, and comparison. It collects the aims of surveys, such as literature organization and evaluation, identifying patterns and trends in the literature, synthesizing literature, identifying research gaps, and recommending new research areas.