Creating Digital Identity for Arabic National Libraries from Content Analysis of Missions & Vision Statements Using Machine Learning Algorithms.

Abstract

Creating Digital Identity for Arabic National Libraries from Content Analysis of Missions & Vision Statements Using Machine Learning Algorithms.This study explores the utilization of ML content analysis algorithms to create a robust digital identity for Arabic national libraries by analyzing their mission and vision statements. The proposed approach aims to align the digital identity with the core roles, values, tasks, and strategic goals of these libraries, thereby fostering a coherent and impactful online existing. the study employed a practical method for applying machine learning model on deriving digital identities depending on the libraries mission statement and vision. the population of study consisted of a selection of six Arabic national libraries, where these libraries provide access to their mission and vision statements by their websites. The most importance findings were that Topic modeling with LDA algorithm is a powerful methodology for discovering hidden themes in Arabic National Libraries vision and mission statements to build a digital identity for these libraries .

Keywords

• digital identity
• arabic national libraries
• content analysis
• machine learning algorithms
• latent dirichlet allocation (lda)