A Review on Predicting Text Similarity in Social Media Using Ant Colony Optimization Method

Authors

  • Abdullah Ahmed Ismael Almatri
  • Abdulaziz Ahmed Thawaba
  • Abdullah Saeed Ghareb

DOI:

https://doi.org/10.54582/TSJ.2.2.92

Keywords:

Semantic similarity, social media, prediction, Ant Colony, Optimization Algorithm

Abstract

This paper aims to highlight the latest and most widely used artificial intelligence methods in text similarity prediction. The study focuses on articles published from 2010 to 2022 in the field of text similarity prediction and algorithms applied in this field. In this paper, systematic scientific comparisons have been made between existing approaches for predicting text similarity to answer the question raised in this study about the most used and accurate approach. Through previous studies and the comparisons made in this paper, the Ant Colony Optimization Algorithm (ACO) approach was found to be the most frequently used in text similarity prediction and solving scheduling problems.

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Published

2024-06-30

How to Cite

Almatri, A. A. I., Thawaba, A. A., & Ghareb, A. S. (2024). A Review on Predicting Text Similarity in Social Media Using Ant Colony Optimization Method. The Scientific Journal of University of Saba Region, 7(1). https://doi.org/10.54582/TSJ.2.2.92

Issue

Vol. 7 No. 1 (2024)

Section

المقالات

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