000			03079nam a22003257a 4500
003			OSt
005			20250711092828.0
008			250711b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH QA 76 _bB75 2025
100			_aBrillo, Alexandria Lee G. _eauthor
245			_aDevelopment of web-based information retrieval system of academic papers with automatic tagging using text network analysis in the technological university of the philippines – manila/ _cAlexandria Lee G. Brillo, Deazelle M. Capistrano, Raine Francesca Maximo, Erika F. Velasquez, and Maria Lourdes T. Villaruz.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_ax, 147pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Science.-- _bBachelor of science in computer science: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aThis research outlines the development and deployment of an Information Retrieval System (IRS) of Academic Papers with Automatic Tagging using Text Network Analysis at the Technological University of the Philippines, Manila Campus, aimed at facilitating access to Academic Papers. The primary goal is to improve the ease with which students and faculty can discover and utilize relevant academic research. The system was developed in Visual Studio Code using React JS, HTML, CSS, and Tailwind CSS for the front-end and Laravel for backend. PHP and SQL for database management. Figma for the design of the wireframe and GitHub for the version control. A comprehensive evaluation involving 30 participants, equally divided between Non-IT and Professional IT, was conducted following the ISO 25010 for Software Quality Standards. The results show an overall score of 3.65, which falls into the “Highly Acceptable” category. It is by the standard of ISO 25010 for Software Quality Standards. Participants conveyed positive perceptions about the system's functional suitability and expressed satisfaction with its overall performance and user interface. This study validates the effective application of the Information Retrieval System with the Automatic Tagging system at the Technological University of the Philippines, Manila Campus. It highlights the system's potential for assisting students. Students are able to benefit greatly by having access to previous Academic Papers that are relevant for their courses. It depicts, in a concrete way, the structure as well as the functionality and the user interface of an Information Retrieval System educationally.
650			_aMetadata
650			_aText classification
650			_aName entity recognition (NER)
700			_aCapistrano, Deazelle M. _eauthor
700			_aMaximo, Raine Francesca. _eauthor
700			_aVelasquez, Erika F. _eauthor
700			_aVillaruz, Maria Lourdes T. _eauthor
942			_2lcc _cBTH COS _n0
999			_c30289 _d30289