Applied computing Journal

Volume 1 , Issue 3 , July 2021

Cloud computing architecture for Tagging Arabic Text Using Hybrid Model

  • WASAN ALKISHRI ,
  • Mohammed Almutoory
WASAN ALKISHRI
Sohar University

Abstract

With the increasing role of technology in transferring information in our daily lives, the Arabic language has become the fourth language used on the Internet. Therefore, to develop different information systems in the Arabic language, we should determine the syntax and semantics of creating a text efficiently and accurately. Part of speech (POS) is one of the primary methods employed to develop any language corpus. Each language consists of several tags applied in different applications, such as natural language processing (NLP), speech synthesis, and information extraction.  One of the main benefits of adopting cloud computing services is the offer a low cost and time to store your company data compared to traditional methods. This paper presents and deploys a cloud computing architecture for Tagging Arabic text using a hybrid model, which will help reduce the efforts and cost. The results show an excellent accuracy rate in tagging an Arabic text and quickly respond. Previous studies are compared based on relevant rating factors, which achieved high accuracy, procession, and recall rate of more than 95%.  The cloud computing tagger attained an accuracy of 99.2%.

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DOI: https://doi.org/10.52098/acj.202141
Published September 3, 2021
Keywords
  • Part of Speech,
  • Arabic Text Tagging,
  • Neural Network,
  • SVM,
  • NLP,
  • Machine Learning
    • ...More
    Less
How to Cite
ALKISHRI, W., & Almutoory, M. (2021). Cloud computing architecture for Tagging Arabic Text Using Hybrid Model. Applied Computing Journal, 3(Issue 3), 141-151. https://doi.org/10.52098/acj.202141

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