Brillo, Alexandria Lee G. <br/><br/>
Development of web-based information retrieval system of academic papers with automatic tagging using text network analysis in the technological university of the philippines – manila/ 
Alexandria Lee G. Brillo, Deazelle M. Capistrano, Raine Francesca Maximo, Erika F. Velasquez, and Maria Lourdes T. Villaruz.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - x, 147pages:  29cm. 
<br/><br/> Bachelor's thesis<br/><br/><br/> 
<br/><br/>College of Science.--<br/> 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> This research outlines the development and deployment of an Information Retrieval<br/>System (IRS) of Academic Papers with Automatic Tagging using Text Network Analysis<br/>at the Technological University of the Philippines, Manila Campus, aimed at facilitating<br/>access to Academic Papers. The primary goal is to improve the ease with which students<br/>and faculty can discover and utilize relevant academic research. The system was developed<br/>in Visual Studio Code using React JS, HTML, CSS, and Tailwind CSS for the front-end<br/>and Laravel for backend. PHP and SQL for database management. Figma for the design of<br/>the wireframe and GitHub for the version control. A comprehensive evaluation involving<br/>30 participants, equally divided between Non-IT and Professional IT, was conducted<br/>following the ISO 25010 for Software Quality Standards. The results show an overall score<br/>of 3.65, which falls into the “Highly Acceptable” category. It is by the standard of ISO<br/>25010 for Software Quality Standards. Participants conveyed positive perceptions about<br/>the system's functional suitability and expressed satisfaction with its overall performance<br/>and user interface. This study validates the effective application of the Information<br/>Retrieval System with the Automatic Tagging system at the Technological University of<br/>the Philippines, Manila Campus. It highlights the system's potential for assisting students.<br/>Students are able to benefit greatly by having access to previous Academic Papers that are<br/>relevant for their courses. It depicts, in a concrete way, the structure as well as the<br/>functionality and the user interface of an Information Retrieval System educationally. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Metadata<br/>Text classification<br/>Name entity recognition (NER)
<br/><br/><label>LC Class. No.: </label>BTH QA 76  / B75 2025