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

Abstract

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 existence. The study employed a practical method for applying a machine learning model to derive digital identities based on the libraries’ mission and vision statements. The population of the study consisted of a selection of six Arabic national libraries that provide access to their mission and vision statements through their websites. The most important finding was that topic modeling with the 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.