A Segmentation Analysis Utilizing Natural Language Processing Model with Interactive Data Analytics Dashboard for Research Management Platform
Raquel C Adriano | Anthony U. Concepcion | Marian Minneli S. Cruz | Alaina Thea V. Concepcion
Discipline: Development Studies
Abstract:
Research is a vital component of a university and, currently, unstructured big data is a significant issue in various ICT industries and institutions. To solve this modern problem, the researchers developed a system to streamline the manual operations and traditional research management system of the university through Natural Language Pro-cessing (NPL). This quantitative research utilizing descriptive-devel-opmental design is about designing and evaluating A Segmentation Analysis Utilizing Natural Language Processing Model with Interac-tive Data Analytics Dashboard for Bulacan State University Research Management Platform utilizes the framework of progressive proto-typing in the development process. Consultative meetings, interviews and the use of survey questionnaires were held to obtain data from ten (10) RDO/CDRU and staff, twenty (20) IT experts and twenty (20) academicians were chosen using random sampling. Results show that personalize learning management system is excellent in terms of functional suitability (M=4.66), performance efficiency (M=4.68), compatibility (M=4.67), usability (M=4.74), reliability (M=4.51), secu-rity (M=4.44), maintainability (M=4.72), and portability (M=4.65). Subsequently, the developed system recorded a grand mean of 4.63 interpreted as Excellent among all ISO/IEC 25010 criteria. This indicates that the system complies with end-user needs as well as software quality standards. It is therefore prepared for adoption. Along with its implementation, it is recommended to gather feedback regu-larly and conduct an impact analysis of the effectiveness of using the segmentation analysis utilizing natural language processing model with interactive data analytics dashboard for research management platform.
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