Creating digital Identity for Arabic national libraries from content analysis of missions & vision statements using machine learning algorithms : a practical study.
Source
The 35th Conference of the Arab Federation for Libraries and Information. p. 1065-1106.
Author
Elnasharty, Mo’men S.
Publisher
Arab Federation for Libraries and Information
Original title
Creating Digital Identity for Arabic National Libraries from Content Analysis of Missions & Vision Statements Using Machine Learning Algorithms : A Practical Study.
English 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 these libraries' core roles,
values, tasks, and strategic goals, thereby fostering a coherent and impactful online
existence. The study employed a practical method for applying a machine learning model to deriving digital identities depending on the library's mission statement and vision. The population of the study consisted of a selection of six Arabic national libraries, where these libraries provide access to their mission and vision statements through their websites. The most important findings were 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.
