A growing amount of Arabic textual content comes accessible via the World Wide Web in properties and companies via Internet and Intranet services, there is a pressing need for technology and tools to handle the relevant data. In the context of Arabic processing of language, high-dimensional computation. The stemming method is intended to be used throughout document categorization to lower the high dimensionality of the domain of features, which improves categorization system performance, especially for highly modulating languages such as Arabic. It then digs into other sub-topics, such as methods for decreasing dimensionality, categorization computations, natural language processing jobs, and Arabic-specific applications. Each sub-topic is explored in depth, emphasising the main findings, techniques, and significant advances documented in the scientific literature. In addition, the survey report analyses future trends as well as prevalent obstacles in high-dimensional computing with Arabic language processing. It investigates the effectiveness and relevance of existing procedures while also exposing gaps and limits that need to be addressed further. The report provides knowledge of the present situation of the topic and suggests new directions for future studies by critically analysing the examined literature. This survey report is significant because of its ability to integrate and synthesise current knowledge, offering researchers as well as practitioners with a complete resource on the combination of high-dimensional computing with Arabic processing of languages. The paper may be utilised as an easy way to find pertinent works that cover a given issue for a particular dialect.
Digital Object Identifier (DOI)
Samy Rady, George and Farouk Mohamed, Mamdouh
"A Survey on High Dimensional Computing with Arabic Language Processing,"
Applied Mathematics & Information Sciences: Vol. 17:
6, Article 22.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol17/iss6/22