Proposed Arabic Information Retrieval System Using Cat Swarm Optimization

Abstract

According to the recently published research, the  developed Information Retrieval   systems are concerned with English language  documents compared to all others   in  Arabic language. لإthe morphological difficulty of Arabic language increases the concerns for the availability of Arabic test copora.   Therefore, This paper presents an Arabic information retrieval  system for text documents. The proposed algorithm   uses Cat Swarm Optimization to select the most important features with the cosine similarity. In addition, it finds the most relevant document to user query. The simulation results in using    the standard  NLEL of Arabic dataset  corpus. The proposed algorithm for Arabic document retrieval uses swarm optimization with cosine similarity which provides effectively with accuracy 81.4%.